INSTRUMENTS

Home Courses Vita Publications Cases Current Research Doctoral Graduates Fawcett Scholars Research Instruments On-Line Books Personal

 

Organizational Climate Description Questionnaire for Elementary [OCDQ-RE]  

 

Organizational Climate Description Questionnaire for Secondary [OCDQ-RS]

 

Organizational Climate Description Questionnaire for Middle [OCDQ-M]

Organizational Health Inventory for Elementary [OHI-RE]

Organizational Health Inventory for Secondary [OHI-RS]

Organizational Health Inventory for Middle [OHI-M]

Pupil Control Ideology Form [PCI]

Trust Scales [T-Scale]

Omnibus T-Scale [Omnibus T-Scale]

Organizational Climate Index [OCI]

 Teacher Sense of Efficacy

Bandura's Guide for Constructing Self-Efficacy Scales

 Collective Efficacy [CE-Scale]

Collective Efficacy [Short Form]

Enabling School Structure [ESS]

 Organizational Citizenship Behavior Scale [OCB]

 School Mindfulness Scale [M-Scale]

 Organizational Justice Scale [OJ Scale]

 

 

THE ORGANIZATIONAL CLIMATE DESCRIPTION

QUESTIONNAIRE FOR ELEMENTARY SCHOOLS (OCDQ-RE)

Click The Book to get copy     

 

Dimensions (Subtests of the OCDQ-RE)   

Supportive principal behavior reflects a basic concern for teachers. The principal listens and is open to teacher suggestions. Praise is given genuinely and frequently, and criticism is handled constructively. The competence of the faculty is respected, and the principal exhibits both a personal and professional interest in teachers.

Directive principal behavior is rigid, close supervision. The principal maintains constant monitoring and control over all teacher and school activities, down to the smallest detail.

Restrictive principal behavior is behavior that hinders rather than facilitates teacher work. The principal burdens teachers with paper work, committee requirements, routine duties, and other demands that interfere with their teaching responsibilities.

Collegial teacher behavior supports open and professional interactions among teachers. Teachers are proud of their school, enjoy working with their colleagues, and are enthusiastic, accepting, and mutually respectful of their colleagues.

Intimate teacher behavior is cohesive and strong social relations among teachers. Teachers know each other well, are close personal friends, socialize together regularly, and provide strong social support for each other.

Disengaged teacher behavior signifies a lack of meaning and focus to professional activities. Teachers are simply putting in time in non-productive group efforts; they have no common goals. In fact, their behavior is often negative and critical of their colleagues and the school.

Reliability

Each of these dimensions was measured by a subtest of the OCDQ-RE. The reliability scores for the scales were relatively high: Supportive (.94), Directive (.88), Restrictive (.81), Collegial (.87), Intimate (.83), and Disengaged (.78).

Construct Validity

The construct validity of each dimension of openness was supported by correlating each dimension with the original OCDQ index of openness (Hoy, 1972). In the current sample, the index of teacher openness correlated positively with the original general school openness index (r=.67, p<.01) as did the index of principal openness (r=.52, p<.01). Moreover, the factor analysis supports the construct validity of organizational climate (Hoy, Tarter, & Kottkamp, 1991).

Openness Indices

The three subtests of the OCDQ-RE that define principal openness are supportive, directive, and restrictive. An index of the degree of openness in principal-teacher relations can be computed by first standardizing the school scores on these dimensions, and then subtracting the sum of the directive and restrictive scores from the supportive score (Principal openness=S-[D+R]), where S, D, R are standard scores).

Likewise, the collegial, intimate, and disengaged subtests define the degree of openness in teacher behavior. Accordingly, a teacher openness index for the school can be computed by standardizing the school scores on these dimensions, and then subtracting the disengagement score from the sum of the collegial and intimate scores (Teacher openness=[C+I]-D, where C, I, D are standard scores).

Administering the Instrument

The OCDQ-RE is best administered as part of a faculty meeting. It is important to guarantee the anonymity of the teacher respondent; teachers are not asked to sign the questionnaire and no identifying code is placed on the form. Most teachers do not object to responding to the instrument, which takes less than ten minutes to complete. It is probably advisable to have someone other than an administrator collect the data. It is important to create a non-threatening atmosphere where teachers give candid responses. All of the health and climate instruments follow the same pattern of administration.

Scoring

The responses vary along a four-point scale defined by the categories "rarely occurs," "sometimes occurs," "often occurs," and "very frequently occurs." (1 through 4, respectively).

Step 1: Score each item for each teacher with the appropriate number (1, 2, 3, or 4). Be sure to reverse score items 6, 31, 37.

Step 2: Calculate an average school score for each item. In the example above, one would add all 15 scores on each item and then divide by 15. Round the scores to the nearest hundredth. This score represents the average school item score. You should have 42 average school item scores before proceeding.

Step 3: Sum the average school item scores as follows:

                    Supportive Behavior (S)=4+9+15+16+22+23+28+29+42

                    Directive Behavior (D)=5+10+17+24+30+34+35+39+41

                    Restrictive Behavior (R)=11+18+25+31+36

                    Collegial Behavior (C)=1+6+12+19+26+32+37+40

                    Intimate Behavior (Int)=2+7+13+20+27+33+38

                    Disengaged Behavior (Dis)=3+8+14+21

These six scores represent the climate profile of the school.

How does you school compare with others? We have supplied information on a large and diverse sample of New Jersey elementary schools, which gives a rough basis for comparing your school with others . The average scores and standard deviations for each climate dimension are summarized below. Standard deviations tell us how close most schools are to the average; the smaller the standard deviation, the closer most schools are to the typical school.

                                            Mean (M)             Standard Deviation (SD)

Supportive Behavior (S)         23.34                             4.85

Directive Behavior (D)           19.34                             3.20

Restrictive Behavior (R)         12.98                             1.55

Collegial Behavior (C)            23.11                            2.69

Intimate Behavior (Int)            17.23                            2.14

Disengaged Behavior (Dis)      6.98                             1.26

To make the comparisons easy, we recommend you standardize each of your subtest scores. Standardizing the scores gives them a "common denominator" that allows direct comparisions among all schools.

Computing Standardized Scores of the OCDQ-RE

First: Convert the school subtest scores to standardized scores with a mean of 500 and a standard deviation of 100, which we call SdS scores. Use the following formulas:

SdS for S=100 X (S-23.34)/4.85+500

Then compute the difference between your school score on S and the mean of 23.34 for the normative sample (S-23.34). Then multiply the difference by 100 [100 X (S-23.34)]. Next divide the product by standard deviation of the normative sample (4.85). Then add 500 to the result. You have computed a standardized score (SdS) for the supportive behavior subscale (S).

Next: Repeat the process for each dimension as follows:

    SdS for D=100 X (D-19.34)/3.20+500

    SdS for R=100 X (R-12.98)/1.55+500

    SdS for C=100 X (C-23.11)/2.69+500

    SdS for Int=100 X (Int-17.23)/2.14+500

    SdS for Dis=100 X (Dis-6.98)/1.26+500

You have standardized your school scores against the normative data provided in the New Jersey sample. For example, if your school score is 600 on supportive behavior, it is one standard deviation above the average score on supportive behavior of all schools in the sample; that is, the principal is more supportive than 84% of the other principals. A score of 300 represents a school that is two standard deviations below the mean on the subtest. You may recognize this system as the one used in reporting individual scores on the SAT, CEEB, and GRE. The range of these scores is presented below:

    If the score is 200, it is lower than 99% of the schools.

    If the score is 300, it is lower than 97% of the schools.

    If the score is 400, it is lower than 84% of the schools.

    If the score is 500, it is average.

    If the score is 600, it is higher than 84% of the schools.

    If the score is 700, it is higher than 97% of the schools.

    If the score is 800, it is higher than 99% of the schools.

There are two other scores that can be easily computed and are usually of interest to teachers and principals. Recall that two openness dimensions were determined in the second-order factor analysis of the OCDQ-RE. Accordingly, the two openness measures can be computed as follows:

 

Principal Openness = (SdS for S)+(1000-SdS for D)+(1000-SdS for R)

                                                                  3

Teacher Openness = (SdS for C)+(SdS for Int)+(1000-SdS for Dis)

                                                                  3

 

These openness indices are interpreted the same way as the subtest scores, that is, the mean of the "average" school is 500. Thus, a score of 650 on teacher openness represents a highly open faculty. We have changed the numbers into categories ranging from high to low by using the following conversion table:

    Above 600 VERY HIGH

    551-600 HIGH

    525-550 ABOVE AVERAGE

    511-524 SLIGHTLY ABOVE AVERAGE

    490-510 AVERAGE

    476-489 SLIGHTLY BELOW AVERAGE

    450-475 BELOW AVERAGE

    400-449 LOW

    Below 400 VERY LOW

We recommend using all the dimensions of OCDQ-RE to gain a finely tuned picture of school climate.

For further information:

Hoy, W. K., Tarter, C. J., & Kottkamp, R. B. (1991). Open schools/healthy schools: Measuring organizational climate. Beverly Hills, CA: Sage.

Hoy, W. K., & Tarter, C. J. (1997). The road to open and healthy schools: A handbook for change, Elementary Edition, Thousand Oaks, CA: Corwin Press.

 

Computer Scoring Program

A computer scoring program is available from Advanced Software Products, 1236 Dolores Street, San Francisco, CA 94110. The program, which runs on Windows, will score each subtest, standardize school scores, and provide indices of openness. For further information, contact Arlington Writers.

 

 

THE ORGANIZATIONAL CLIMATE DESCRIPTION

QUESTIONNAIRE FOR SECONDARY SCHOOLS (OCDQ-RS)

 

Click The Book to get copy            

 

Dimensions (Subtests of the OCDQ-RS)

Supportive principal behavior is characterized by efforts to motivate teachers by using constructive criticism and setting an example through hard work. At the same time, the principal is helpful and genuinely concerned with the personal and professional welfare of teachers. Supportive behavior is directed toward both the social needs and task achievement of the faculty.

Directive principal behavior is rigid and domineering supervision. The principal maintains close and constant control over all teachers and school activities down to the smallest details

Engaged teacher behavior is reflected by high faculty morale. Teachers are proud of their school, enjoy working with each other, and are supportive of their colleagues. Teachers are not only concerned about each other, they are committed to the success of their students. They are friendly with students, trust students, and are optimistic about the ability of students to succeed.

Frustrated teacher behavior refers to a general pattern of interference from both administration and colleagues that distracts from the basic task of teaching. Routine duties, administrative paperwork, and assigned nonteaching duties are excessive; moreover, teachers irritate, annoy, and interrupt each other.

Intimate teacher behavior reflects a strong and cohesive network of social relationships among the faculty. Teachers know each other well, are close personal friends, and regularly socialize together.

Reliability

Each of these dimensions was measured by a subtest of the OCDQ-RS. The reliability scores for the scales were relatively high: Supportive (.91), Directive (.87), Engaged (.85), Frustrated (.85), and Intimate (.71).

Construct Validity

A factor analysis of several samples of the instrument supports the construct validity of the concept of organizational climate (Hoy, Tarter, & Kottkamp, 1991; Hoy &

Tarter, 1997). In addition, the predictive validity has been supported in other studies. See Hoy, Tarter, and Kottkamp (1991) for a review of that literature.

                                                       

Administering the Instrument

The OCDQ-RS is best administered as part of a faculty meeting. It is important to guarantee the anonymity of the teacher respondent; teachers are not asked to sign the questionnaire and no identifying code is placed on the form. Most teachers do not object to responding to the instrument, which takes less than ten minutes to complete. It is probably advisable to have someone other than an administrator collect the data. It is important to create a non-threatening atmosphere where teachers give candid responses. All of the health and climate instruments follow the same pattern of administration.

Scoring

The responses vary along a four-point scale defined by the categories "rarely occurs," "sometimes occurs," "often occurs," and "very frequently occurs." (1 through 4, respectively).

Step 1: Score each item for each respondent with the appropriate number (1, 2, 3, or 4).

Step 2: Calculate an average school score for each item. Round the scores to the nearest hundredth. This score represents the average school item score. You should have 34 average school item scores before proceeding.

Step 3: Sum the average school item scores as follows:

        Supportive Behavior (S)=5+6+23+24+25+29+30

        Directive Behavior (D)=7+12+13+18+19+31+32

        Engaged Behavior (E)=3+4+10+11+16+17+20+28+33+34

        Frustrated Behavior (F)=1+2+8+9+15+22

        Intimate Behavior (Int)=14+21+26+27

You may wish to compare your school profile with other schools. We recommend that you convert each school score to a standardized score. The current data base on secondary schools is drawn from a large, diverse sample of schools in New Jersey. The average scores and standard deviations for each climate dimension are summarized below:

                                        Mean (M)             Standard Deviation (SD)

Supportive Behavior (S)     18.19                             2.66

Directive Behavior (D)        13.96                             2.49

Engaged Behavior (E)         26.45                             1.32

Frustrated Behavior (F)      12.33                             1.98

Intimate Behavior (Int)         8.80                                .92

Computing the Standardized Scores for the OCDQ-RS

Convert the school subtest scores to standardized scores with a mean of 500 and a standard deviation of 100, which we call SdS scores. Use the following formulas:

    SdS for S=100(S-18.19)/2.66+500    

First compute the difference between your school score on S and the mean for the normative sample (S-18.19). Then multiply the difference by one hundred [100(S-18.19)]. Next divide the product by the standard deviation of the normative sample (2.66). Than add 500 to the result. You have computed a standardized score (SdS) for the supportive behavior subscale (S).

Repeat the process for each dimension as follows:

    SdS for D=100(D-13.96)/2.49+500

    SdS for E=100(E-26.45)/1.32+500

    SdS for F=100(F-12.33)/1.98+500

    SdS for Int=100(Int-8.80)/.92+500

You have standardized your school scores against the normative data provided in the New Jersey sample. For example, if your school score is 600 on supportive behavior, it is one standard deviation above the average score on supportive behavior of all schools in the sample; that is, the principal is more supportive than 84% of the other principals. A score of 300 represents a school that is two standard deviations below the mean on the subtest. You may recognize this system as the one used in reporting individual scores on the SAT, CEEB, and GRE. The range of these scores is presented below:

    If the score is 200, it is lower than 99% of the schools.

    If the score is 300, it is lower than 97% of the schools.

    If the score is 400, it is lower than 84% of the schools.

    If the score is 500, it is average.

    If the score is 600, it is higher than 84% of the schools.

    If the score is 700, it is higher than 97% of the schools.

    If the score is 800, it is higher than 99% of the schools.

There is one other score that can be easily computed and is often of interest, the general openness index for the school climate.

 

    Openness= (SdS for S)+(1000-SdS for D)+(SdS for E)+(1000-SdS for F)

                                                               4

This openness index is interpreted the same way as the subtest scores, that is, the mean of the "average" school is 500. Thus, a score of 650 on teacher openness represents a highly open faculty. We have changed the numbers into categories ranging from high to low by using the following conversion table:

Above 600 VERY HIGH

        551-600 HIGH

        525-550 ABOVE AVERAGE

        511-524 SLIGHTLY ABOVE AVERAGE

        490-510 AVERAGE

        476-489 SLIGHTLY BELOW AVERAGE    

        450-475 BELOW AVERAGE

        400-449 LOW

        Below 400 VERY LOW

We recommend using all the dimensions of OCDQ-RE to gain a finely tuned picture of school climate.

For further information:

Hoy, W. K., Tarter, C. J., & Kottkamp, R. B. (1991). Open schools/healthy schools: Measuring organizational climate. Beverly Hills, CA: Sage.

Hoy, W. K., & Tarter, C. J. (1997). The road to open and healthy schools: A handbook for change, Secondary Edition .Thousand Oaks, CA: Corwin Press.

Computer Scoring Program

A computer scoring program is available from Advanced Software Products, 1236 Dolores Street, San Francisco, CA 94110. The program, which runs on Windows, will score each subtest, standardize school scores, and provide an index of openness. For further information, contact Arlington Writers.

 

 

THE ORGANIZATIONAL CLIMATE DESCRIPTION

QUESTIONNAIRE FOR SECONDARY SCHOOLS (OCDQ-RM)

         Click The Book to get copy              

Dimensions (Subtests of the OCDQ-RM)

Supportive principal behavior is directed toward both the social needs and task achievement of faculty. The principal is helpful, genuinely concerned with teachers, and attempts to motivate by using constructive criticism and by setting an example through hard work.

Directive principal behavior is rigid domineering behavior. The principal maintains close and constant monitoring over virtually all aspects of teacher behavior in the school.

Restrictive principal behavior is behavior that hinders rather than facilitates teacher work. The principal burdens teachers with paperwork, committee requirements, and other demands that interfere with their teaching responsibilities.

Collegial teacher behavior supports open and professional interactions among teachers. Teachers like, respect, and help one another both professionally and personally.

Committed teacher behavior is directed toward helping students to develop both socially and intellectually. Teachers work extra hard to insure student success in school.

Disengaged teacher behavior signifies a lack of meaning and focus to professional activities. Teachers simply are putting in their time; in fact, they are critical and unaccepting of their colleagues.

Reliability

Each of these dimensions was measured by a subtest of the OCDQ-RM. The reliability scores for the scales were relatively high: Supportive (.96), Directive (.88), Restrictive (.89), Collegial (.90), Committed (.93) and Disengaged (.87).

Construct Validity

A factor analysis of the instrument supports the construct validity of the concept of organizational climate (Hoy & Sabo, 1998; Hoy & Tarter, 1997). In addition, the predictive validity has been supported. See Hoy & Sabo (1998) for a review of that literature.

Administering the Instrument

The OCDQ-RM is best administered as part of a faculty meeting. It is important to guarantee the anonymity of the teacher respondent; teachers are not asked to sign the questionnaire and no identifying code is placed on the form. Most teachers do not object to responding to the instrument, which takes less than ten minutes to complete. It is probably advisable to have someone other than the principal in charge of collecting the data. What is important is to create a non-threatening atmosphere where teachers give candid responses. All of the health and climate instruments follow the same pattern of administration.

Scoring

The items are scored by assigning 1 to "rarely occurs," 2 to "sometimes occurs," 3 to "often occurs," and 4 to "very frequently occurs." When an item is reversed scored, it is scored "rarely occurs" receives a 4, "sometimes occurs" a 3, and so on. Each item is scored for each respondent, and then an average school score for each item is computed by averaging the item responses across the school; remember the school is the unit of analysis. For example, if school A has 25 teachers responding to the OCDQ-RM, each individual questionnaire is scored and then an average score for all respondents is computed for each item. Thus, the average score for the 25 teachers is calculated for item 1, and then item 2, and so on. The average school scores for the items defining each subtest are added to yield school subtest scores. The six subtest scores represent the climate profile for the school.

Step 1: Score each item for each respondent with the appropriate number (1, 2, 3, or 4). Be sure to reverse score items 21, 50.

Step 2: Calculate an average school score for each item. Add all the teacher scores for each school on each item and then divide by the number of teachers in the school. Round the scores to the nearest hundredth. This score represents the average school item score. You should have 50 average school item scores before proceeding.

Step 3: Sum the average school item scores as follows:

    Supportive Behavior (Sup)=1+10+11+12+15+19+24+32+36+44+49

    Committed Behavior (Com)=5+6+7+17+18+21+46+47+48

    Directive Behavior (Dir)=9+20+33+37+38+41

    Collegial Behavior (Col)=2+13+14+16+22+25+34+35+40+43+45

    Disengaged Behavior (Dis)=8+23+26+27+28+29+30+31+50

    Restrictive Behavior (Res)=3+4+39+42

These six scores represent the climate profile of the school. You may wish to compare your school profile with other schools. In doing so, we recommend that you convert each school score to a standardized score. The current data base on middle schools is drawn from a large, diverse sample of schools from New Jersey. The average scores and standard deviations for each climate dimension are summarized below:

                                                Mean (M)     Standard Deviation (SD)

    Supportive Behavior (S)             29.39                 4.61

    Directive Behavior (D)               12.09                 2.40

    Restrictive Behavior (R)              9.11                   1.52

    Collegial Behavior (C)               29.30                   3.01

    Committed Behavior (Com)       26.76                  2.74

    Disengaged Behavior (Dis)        15.56                   2.18

Computing Standardize Score of the OCDQ-RM

Convert the school subtest scores to standardized scores with a mean of 500 and a standard deviation of 100, which we call SdS scores. Use the following formulas:

    SdS for S=100(S-29.39)/4.61+500

First compute the difference between your school score on S and the mean of 29.39 for the normative sample (S-29.39). Then multiply the difference by one hundred [100(S-29.39)]. Next divide the product by the standard deviation of the normative sample (4.61). Then add 500 to the result. You have computed a standardized score (SdS) for the supportive behavior subscale (S).

Repeat the process for each dimension as follows:

    SdS for D=100(D-12.09)/2.40+500

    SdS for R=100(R-9.11)/1.52+500

    SdS for C=100(C-29.30)/3.01+500

    SdS for Com=100(Com-26.76)/2.74+500

    SdS for Dis=100(Dis-15.56)/2.18+500

You have standardized your school scores against the normative data provided in the New Jersey sample. For example, if your school score is 600 on supportive behavior, it is one standard deviation above the average score on supportive behavior of all schools in the sample; that is, the principal is more supportive than 84% of the other principals. A score of 300 represents a school that is two standard deviations below the mean on the subtest. You may recognize this system as the one used in reporting individual scores on the SAT, CEEB, and GRE. The range of these scores is presented below:

    If the score is 200, it is lower than 99% of the schools.

    If the score is 300, it is lower than 97% of the schools.

    If the score is 400, it is lower than 84% of the schools.

    If the score is 500, it is average.

    If the score is 600, it is higher than 84% of the schools.

    If the score is 700, it is higher than 97% of the schools.

    If the score is 800, it is higher than 99% of the schools.

There are two other scores that can be easily computed and are of interest to teachers and principals. Recall that two openness dimensions were determined in the second-order factor analysis of the OCDQ-RM. Accordingly, the two openness measures can be computed as follows:

    Principal Openness = (SdS for S)+(1000-SdS for D)+(1000-SdS for R)

                                                                            3

    Teacher Openness = (SdS for C)+(SdS for Com)+(1000-SdS for Dis)

                                                                            3

These openness indices are  interpreted the same way as the subtest scores, that is, the mean of the "average" school is 500. Thus, a score of 650 on teacher openness represents a highly open faculty. We have changed the numbers into categories ranging from high to low by using the following conversion table:

    Above 600 VERY HIGH

    551-600 HIGH

    525-550 ABOVE AVERAGE

    511-524 SLIGHTLY ABOVE AVERAGE

    490-510 AVERAGE

    476-489 SLIGHTLY BELOW AVERAGE

    450-475 BELOW AVERAGE

    400-449 LOW

    Below 400 VERY LOW

We recommend using all six dimensions of OCDQ-RE to gain a finely tuned picture of school climate.

Further Information

Hoy, W. K. &Sabo, D. (1998). Quality Middle Schools: Open and Healthy. Thousand Oaks, CA: Corwin Press.

Hoy, W. K., & Tarter, C. J. (1997). The road to open and healthy schools: A handbook for change, Secondary Edition .Thousand Oaks, CA: Corwin Press.

Computer Scoring Program

A computer scoring program is available from Advanced Software Products, 1236 Dolores Street, San Francisco, CA 941104. The program, which runs on Windows, will score each subtest, standardize school scores, and provide an index of openness. For further information, contact Arlington Writers.

 

THE ORGANIZATIONAL HEALTH INVENTORY(OHI-E)

     Click The Book to get copy          

 

Organizational Health Inventory for Elementary Schools (OHI-E)

A healthy school is one in which the institutional, administrative, and teacher levels are in harmony; and the school meets functional needs as it successfully copes with disruptive external forces and directs its energies toward its mission.

Dimensions (Subtests of the OHI-E)

Institutional Integrity describes a school that has integrity in its educational program. The school is not vulnerable to narrow, vested interests of community groups; indeed, teachers are protected from unreasonable community and parental demands. The school is able to cope successfully with destructive outside forces.

Collegial Leadership refers to behavior by the principal that is friendly, supportive, open, and guided by norms of equality. At the same time, however, the principal sets the tone for high performance by letting people know what is expected of them.

Resource Influence describes the principal's ability to affect the action of superiors to the benefit of teachers. Teachers are given adequate classroom supplies, and extra instructional materials and supplies are easily obtained.

Teacher Affiliation refers to a sense of friendliness and strong affiliation with the school. Teachers feel good about each other and, at the same time, have a sense of accomplishment from their jobs. They are committed to both their students and their colleagues. They find ways to accommodate to the routine, accomplishing their jobs with enthusiasm.

Academic Emphasis refers to the school's press for achievement. The expectation of high achievement is met by students who work hard, are cooperative, seek extra work, and respect other students who get good grades.

 

Reliability

Each of these dimensions was measured by a subtest of the OHI-E. The reliability scores for the scales were relatively high: Institutional Integrity (.90), Collegial Leadership (.95), Resource Influence (.89), Teacher Affiliation (.94), and Academic Emphais (.87).

 

Construct Validity

A factor analysis of several samples of the instrument supports the construct validity of the concept of organizational health (Hoy, Tarter, & Kottkamp, 1991; Hoy &Tarter, 1997). In addition, the predictive validity has been supported in other studies. See Hoy, Tarter, and Kottkamp (1991) for a review of that literature.

Administering the Instrument

The OHI-E is best administered as part of a faculty meeting. It is important to guarantee the anonymity of the teacher respondent; teachers are not asked to sign the questionnaire and no identifying code is placed on the form. Most teachers do not object to responding to the instrument, which takes less than ten minutes to complete. It is probably advisable to have someone other than the principal in charge of collecting the data. What is important is to create a non-threatening atmosphere where teachers give candid responses. All of the health and climate instruments follow the same pattern of administration.

Scoring

The items are scored by assigning 1 to "rarely occurs," 2 to "sometimes occurs," 3 to "often occurs," and 4 to "very frequently occurs." When an item is reversed scored, "rarely occurs" receives a 4, "sometimes occurs" a 3, and so on. Each item is scored for each respondent, and then an average school score for each item is computed by averaging the item responses across the school because the school is the unit of analysis.

Step 1: Score each item for each respondent with the appropriate number (1, 2, 3, or 4). Be sure to reverse score items 6, 8, 14, 19, 25, 29, 30, 37.

Step 2: Calculate an average school score for each item. Round the scores to the nearest hundredth. This score represents the average school item score. You should have 37 school item scores before proceeding.

Step 3: Sum the average school item scores as follows:

    Institutional Integrity (II)=8+14+19+25+29+30

    Collegial Leadership (CL)=1+3+4+10+11+15+17+21+26+34

    Resource Influence (RI)=2+5+9+12+16+20+22

    Teacher Affiliation (TA)=13+23+27+28+32+33+35+36+37

    Academic Emphasis (AE)=6+7+18+24+31

These five scores represent the health profile of the school. You may wish to compare your school profile with other schools. To do this you will need to standardize each school score. The current data base on elementary schools is drawn from a large, diverse sample of schools in New Jersey. The average scores and standard deviations for each health dimension are summarized below:

                                                    Mean (M)             Standard Deviation (SD)

    Institutional Integrity (II)         16.06                                 2.77

    Collegial Leadership (CL)        24.43                                 3.81

    Resource Influence (RI)           20.18                                 2.48

    Teacher Affiliation (TA)            26.32                                2.98

    Academic Emphasis (AE)         14.66                                 1.59

Computing the Standardized Scores for the OHI-E

Convert the school subtest scores to standardized scores with a mean of 500 and a standard deviation of 100, which we call SdS score. Use the following formulas:

SdS for II=100(II-16.06)/2.77+500

First compute the difference between your school score on II and the mean for the normative sample (II-16.06). Then multiply the difference by one hundred [100(II-16.06)]. Next divide the product by the standard deviation of the normative sample (2.77). Than add 500 to the result. You have computed a standardized score (SdS) for the institutional integrity subscale.

Repeat the process for each dimension as follows:

    SdS for CL=100(CL-24.43)/3.81+500

    SdS for RI=100(RI-20.18)/2.48+500

    SdS for TA=100(TA-26.32)/2.98+500

    SdS for AE=100(AE-14.66)/1.59+500

You have standardized your school scores against the normative data provided in the New Jersey sample. For example, if your school score is 400 on institutional integrity, it is one standard deviation below the average score on institutional integrity of all schools in the sample; that is, the school has more institutional integrity than only 16% of the other schools. . You may recognize this system as the one used in reporting individual scores on the SAT, CEEB, and GRE. The range of these scores is presented below:

    If the score is 200, it is lower than 99% of the schools.

    If the score is 300, it is lower than 97% of the schools.

    If the score is 400, it is lower than 84% of the schools.

    If the score is 500, it is average.

    If the score is 600, it is higher than 84% of the schools.

    If the score is 700, it is higher than 97% of the schools.

    If the score is 800, it is higher than 99% of the schools.

HEALTH INDEX

An overall index of school health can be computed as follows:

Health = (SdS for II)+(SdS for CL)+(SdS for RI)+(SdS for TA])+(SdS for AE)

                                                              5

This health index is interpreted the same way as the subtest scores, that is, the mean of the "average" school is 500. Thus, a score of 650 on the health index represents a very healthy school just as a score of 350 depicts an unhealthy school climate. Most school scores, however, fall between these extremes and can only be diagnosed by carefully comparing all elements of the health inventory. We have changed the numbers into categories ranging from high to low by using the following conversion table:

    Above 600 VERY HIGH

    551-600 HIGH

    525-550 ABOVE AVERAGE

    511-524 SLIGHTLY ABOVE AVERAGE

    490-510 AVERAGE

    476-489 SLIGHTLY BELOW AVERAGE

    450-475 BELOW AVERAGE

    400-449 LOW

    Below 400 VERY LOW

We recommend using all the dimensions of OHI-S to gain a finely tuned picture of school health.

Further Information

Hoy, W. K., Tarter, C. J., & Kottkamp, R. B. (1991). Open schools/healthy schools: Measuring organizational climate. Beverly Hills, CA: Sage.

Hoy, W. K., & Tarter, C. J. (1997). The road to open and healthy schools: A handbook for change, Elementary Edition .Thousand Oaks, CA: Corwin Press.

Computer Scoring Program

Computer scoring program for the OHI-E is available from Advanced Software Products, 1236 Dolores Street, San Francisco, CA 94110. The program, which runs on Windows, will score each subtest, standardize school scores, and provide index of health. Further information on the scoring program can be obtained from Arlington Writers (Fax 614-488-5075).

 

 

 

THE ORGANIZATIONAL HEALTH INVENTORY(OHI-S)

     Click The Book to get copy          

Organizational Health Inventory for Secondary Schools (OHI-S)

A healthy school is one in which the institutional, administrative, and teacher levels are in harmony; and the school meets functional needs as it successfully copes with disruptive external forces and directs its energies toward its mission.

Dimensions (Subtests of the OHI-S)

Institutional Integrity describes a school that has integrity in its educational program. The school is not vulnerable to narrow, vested interests of community groups; indeed, teachers are protected from unreasonable community and parental demands. The school is able to cope successfully with destructive outside forces.

Initiating Structure is task- and achievement-oriented behavior. The principal makes his or her attitudes and expectations clear to the faculty and maintains definite standards of performance.

Consideration is principal behavior that is friendly, supportive, and collegial. The principal looks out for the welfare of faculty members and is open to their suggestions.

Principal Influence is the principal's ability to affect the actions of superiors. The influential principal is persuasive, works effectively with the superintendent, simultaneously demonstrates independence in thought and action.

Resource Support refers to a school where adequate classroom supplies and instructional materials are available and extra materials are easily obtained.

Morale is the sense of trust, confidence, enthusiasm, and friendliness among teachers. Teachers feel good about each other and, at the same time, feel a sense of accomplishment from their jobs.

Academic Emphasis refers to the schools press for achievement. High but achievable goals are set for students; the learning environment is orderly and serious; teachers believe students can achieve; and students work hard and respect those who do well academically.

 

Reliability

Each of these dimensions was measured by a subtest of the OHI-S. The reliability scores for the scales were relatively high: Institutional Integrity (.91), Initiating Structure (.89), Consideration (.90), Principal Influence (.87), Resource Support (.95), Morale (.92), and Academic Emphais (.93).

Construct Validity

A factor analysis of several samples of the instrument supports the construct validity of the concept of organizational health (Hoy, Tarter, & Kottkamp, 1991; Hoy & Tarter, 1997). In addition, the predictive validity has been supported in other studies. See Hoy, Tarter, and Kottkamp (1991) for a review of that literature.

Administering the Instrument

The OHI-S is best administered as part of a faculty meeting. It is important to guarantee the anonymity of the teacher respondent; teachers are not asked to sign the questionnaire and no identifying code is placed on the form. Most teachers do not object to responding to the instrument, which takes less than ten minutes to complete. We recommend that someone other than an administrator collect the data. It is important is to create a non-threatening atmosphere where teachers give candid responses. All of the health instruments follow the same pattern of administration.

Scoring

The responses vary along a four-point scale defined by the categories "rarely occurs," "sometimes occurs," "often occurs," and "very frequently occurs." (1 through 4, respectively). When an item is reversed scored, "rarely occurs" receives a 4, "sometimes occurs" a 3, and so on. Each item is scored for each respondent, and then an average school score for each item is computed by averaging the item responses across the school because the school is the unit of analysis.

Step 1: Score each item for each respondent with the appropriate number (1, 2, 3, or 4). Be sure to reverse score items 8, 15, 20, 22, 29, 30, 34, 36, 39.

Step 2: Calculate an average school score for each item. In the example above, one would add all 60 scores on each item and then divide the sum by 60. Round the scores to the nearest hundredth. This score represents the average school item score. You should have 44 school item scores before proceeding.

Step 3: Sum the average school item scores as follows:

    Institutional Integrity (II)=1+8+15+22+29+36+39

    Initiating Structure (IS)=4+11+18+25+32

    Consideration (C)=3+10+17+24+31

    Principal Influence (PI)=2+9+16+23+30

    Resource Support (RS)=5+12+19+26+33

    Morale (M)=6+13+20+27+34+37+40+42+44

    Academic Emphasis (AE)=7+14+21+28+35+38+41+43

These seven scores represent the health profile of the school. You may wish to compare your school profile with other schools. To do so, we recommend that you standardize each school score. The current data base on secondary schools is drawn from a large, diverse sample of schools from New Jersey. The average scores and standard deviations for each health dimension are summarized below:

                                                        Mean (M)             Standard Deviation (SD)

    Institutional Integrity (II)                 18.61                                 2.66

    Initiating Structure (IS)                    14.36                                 1.83

    Consideration (C)                           12.83                                 2.03

    Principal Influence (PI)                    12.93                                 1.79

    Resource Support (RS)                   13.52                                 1.89

    Morale (M)                                     25.05                                 2.64

    Academic Emphasis (AE)                21.33                                 2.76

Computing the Standardized Scores for the OHI-S

Convert the school subtest scores to standardized scores with a mean of 500 and a standard deviation of 100, which we call SdS score. Use the following formulas:

    SdS for II=100(II-18.61)/2.66+500

First compute the difference between your school score on II and the mean for the normative sample (II-18.61). Then multiply the difference by one hundred[100(II-18.61)]. Next divide the product by the standard deviation of the normative sample (2.66). Then add 500 to the result. You have computed a standardized score (SdS) for the institutional integrity subscale.

Repeat the process for each dimension as follows:

    SdS for IS=100(IS-14.36)/1.83+500

    SdS for C=100(C-12.83)/2.03+500

    SdS for PI=100(PI-12.93)/1.79+500

    SdS for RS=100(RS-13.52)/1.89+500

    SdS for M=100(M-25.05)/2.64+500

    SdS for AE=100(AE-21.33)/2.76+500

You have standardized your school scores against the normative data provided in the New Jersey sample. For example, if your school score is 700 on institutional integrity, it is two standard deviations above the average score on institutional integrity of all schools in the sample; that is, the school has more institutional integrity than 97% of the schools in the sample. You may recognize this system as the one used in reporting individual scores on the SAT, CEEB, and GRE. The range of these scores is presented below:

    If the score is 200, it is lower than 99% of the schools.

    If the score is 300, it is lower than 97% of the schools.

    If the score is 400, it is lower than 84% of the schools.

    If the score is 500, it is average.

    If the score is 600, it is higher than 84% of the schools.

    If the score is 700, it is higher than 97% of the schools.

    If the score is 800, it is higher than 99% of the schools.

HEALTH INDEX

An overall index of school health can be computed as follows:

Health = SdS for II)+(Sds for IS)+(Sds for C)+(SdS for PI])+(SdS for RS)+(SdS for M)+(SdS for AE)

                                                                                        7

This health index is interpreted the same way as the subtest scores, that is, the mean of the "average" school is 500. Thus, a score of 650 on the health index represents a very healthy school, one that is one and a half standard deviations above the average school, and a score of 400 represents a very sick school climate. Most school scores, however, fall between these extremes and can only be diagnosed by carefully comparing all elements of the climate. We have changed the numbers into categories ranging from high to low by using the following conversion table:

    Above 600 VERY HIGH

    551-600 HIGH

    525-550 ABOVE AVERAGE

    511-524 SLIGHTLY ABOVE AVERAGE

    490-510 AVERAGE

    476-489 SLIGHTLY BELOW AVERAGE

    450-475 BELOW AVERAGE

    400-449 LOW

    Below 400 VERY LOW

We recommend using all the dimensions of OHI-S to gain a finely tuned picture of school health.

Further Information

Hoy, W. K., Tarter, C. J., & Kottkamp, R. B. (1991). Open schools/healthy schools: Measuring organizational climate. Beverly Hills, CA: Sage.

Hoy, W. K., & Tarter, C. J. (1997). The road to open and healthy schools: A handbook for change, Secondary Edition. Thousand Oaks, CA: Corwin Press.

Computer Scoring Program

A computer scoring program is available from Advanced Software Products, 1236 Dolores Street, San Francisco, CA 94110. The program, which runs on Windows, will score each subtest, standardize school scores, and provide an index of openness. For further information, contact Arlington Writers.

 

 

THE ORGANIZATIONAL HEALTH INVENTORY(OHI-M)

     Click The Book to get copy              

Organizational Health Inventory for Middle Schools (OHI-M)

A healthy school is one in which the institutional, administrative, and teacher levels are in harmony; and the school meets functional needs as it successfully copes with disruptive external forces and directs its energies toward its mission.

Dimensions (Subtests of the OHI-M)

Institutional Integrity is the degree to which the school can cope with its environment in a way that maintains the educational integrity of its programs. Teachers are protected from unreasonable community and parental demands.

Collegial Leadership is principal behavior that is friendly, supportive, open, and guided by norms of equality. But, at the same time, the principal sets the tone for high performance by letting people know what is expected of them.

Principal Influence is the principal’s ability to influence the actions of superiors. Influential principals are persuasive with superiors, get additional consideration, and proceed relatively unimpeded by the hierarchy.

Resource Support is the extent to which classroom supplies and instructional materials are readily available; in fact, even extra materials are supplied if requested.

Teacher Affiliation is a sense of friendliness and strong affiliation with the school. Teachers feel good about each other, their job, and their students. They are committed to both their students and their colleagues and accomplish their jobs with enthusiasm.

Academic Emphasis is the extent to which the school is driven by a quest for academic excellence. High but achievable academic goals are set for students; the learning environment is orderly and serious; teachers believe in their students’ ability to achieve; students work hard and respect those who do well academically.

Reliability

Each of these dimensions was measured by a subtest of the OHI-M. The reliability scores for the scales were relatively high: Institutional Integrity (.93), Collegial Leadership (.94), Principal Influence (.94), Resource Support (.93), Teacher Affiliation (.94), and Academic Emphasis (.94).

Construct Validity

A factor analysis of several samples of the instrument supports the construct validity of the concept of organizational health (Hoy & Sabo, 1998).

Administering the Instrument

            The OHI-M is best administered as part of a faculty meeting.  It is important to guarantee the anonymity of the teacher respondent; teachers are not asked to sign the questionnaire and no identifying code is placed on the form.  Most teachers do not object to responding to the instrument, which takes less than ten minutes to complete.  We recommend that someone other than an administrator collect the data.  It is important to create a non-threatening atmosphere where teachers give candid responses.  All of the health instruments follow the same pattern of administration.

Scoring the OHI-M

Step 1: Score each item for each respondent with the appropriate number (1, 2, 3, or 4).  Be sure to reverse score items  7, 8, 13, 18, 23, 25, 26, 32, 37, 41, 44.

Step 2: Calculate an average school score for each item.  In the example above, one would add all 50 scores on each item and then divide the sum by 50.  Round the scores to the nearest hundredth.  This score represents the average school item score.  You should have 45 school item scores before proceeding. 

Step 3: Sum the average school item scores as follows:

            Institutional Integrity (II)=8+13+18+23+25+ 26+33

            Collegial Leadership (CL)=1+4+5+10+14+24+30+35+39

            Principal Influence (PI)=3+9+19+34+41+43

            Resource Support (RS)=6+11+15+20+36+40

            Teacher Affiliation  (TA)=12+21+28+31+32+37+42+45

            Academic Emphasis (AE)= 2+7+16+17+22+27+29+38+44

            These six scores represent the health profile of the school.  You may wish to compare your school profile with other schools.  To do so, we recommend that you standardize each school score.  The current data base on middle schools is drawn from a large, diverse sample of schools from New Jersey.  The average scores and standard deviations for each health dimension are summarized below:

 

                        Mean (M)            Standard Deviation (SD)

            Institutional Integrity (II)       16.41                     2.82

            Collegial Leadership (CL)     26.61                    3.71

            Principal Influence (PI)          16.37                    2.12

            Resource Support (RS)         16.72                    2.63

            Teacher Affiliation (TA)         28.34                    2.57

            Academic Emphasis (AE)     20.11                     2.80

 

Computing the Standardized Scores for the OHI

Convert the school subtest scores to standardized scores with a mean of 500 and a standard deviation of 100, which we call SdS score.  Use the following formulas:

SdS for II=100(II-16.41)/2.82+500

            First compute the difference between your school score on II and the mean for the normative sample (II-16.41).  Then multiply the difference by one hundred [100(II-16.41)].  Next divide the product by the standard deviation of the normative sample (2.82).  Then add 500 to the result.  You have computed a standardized score (SdS) for the institutional integrity subscale.

Repeat the process for each dimension as follows:

            SdS for CL=100(CL-26.61)/3.71+500

            SdS for PI=100(PI-16.37)/2.12+500

            SdS for RS=100(RS-16.72)/2.63+500

            SdS for TA=100(TA-28.34)/2.57+500

            SdS for AE=100(AE-20.11)/2.80+500

You have standardized your school scores against the normative data provided in the New Jersey sample. For example, if your school score is 700 on institutional integrity, it is two standard deviations above the average score on institutional integrity of all schools in the sample; that is, the school has more institutional integrity than 97% of the schools in the sample. You may recognize this system as the one used in reporting individual scores on the SAT, CEEB, and GRE. The range of these scores is presented below:

    If the score is 200, it is lower than 99% of the schools.

    If the score is 300, it is lower than 97% of the schools.

    If the score is 400, it is lower than 84% of the schools.

    If the score is 500, it is average.

    If the score is 600, it is higher than 84% of the schools.

    If the score is 700, it is higher than 97% of the schools.

    If the score is 800, it is higher than 99% of the schools.

Health Index

            You have standardized your school scores against the normative data provided in the New Jersey sample.  For example, if your school score is 700 on institutional integrity, it is two standard deviations above the average score on institutional integrity of all schools in the sample; that is, the school has more institutional integrity than 97% of the schools in the sample.

            An overall index of school health can be computed as follows:

            Health=(SdS for II)+(Sds for CL)+(SdS for PI])+(SdS for RS)+(SdS for TA)+(SdS for AE)

                                                                                     6

 

This health index is interpreted the same way as the subtest scores, that is, the mean of the "average" school is 500. Thus, a score of 650 on the health index represents a very healthy school, one that is one and a half standard deviations above the average school, and a score of 400 represents a very sick school climate. Most school scores, however, fall between these extremes and can only be diagnosed by carefully comparing all elements of the climate. We have changed the numbers into categories ranging from high to low by using the following conversion table:

    Above 600 VERY HIGH

    551-600 HIGH

    525-550 ABOVE AVERAGE

    511-524 SLIGHTLY ABOVE AVERAGE

    490-510 AVERAGE

    476-489 SLIGHTLY BELOW AVERAGE

    450-475 BELOW AVERAGE

    400-449 LOW

    Below 400 VERY LOW

We recommend using all the dimensions of OHI-M to gain a finely tuned picture of school health.

Further Information

Hoy, W. K. & Sabo, Dennis (1998). Quality Middle Schools: Open and Healthy. Thousand Oaks, CA: Corwin Press.

Hoy, W. K., & Tarter, C. J. (1997). The road to open and healthy schools: A handbook for change, Secondary Edition. Thousand Oaks, CA: Corwin Press.

Computer Scoring Program

A computer scoring program is available from Advanced Software Products, 1236 Dolores Street, San Francisco, CA 94110. The program, which runs on Windows, will score each subtest, standardize school scores, and provide an index of openness. For further information, contact Arlington Writers.

 

 

 

 

THE TEACHER EFFICACY SCALE

(Long Form)

     Click The Book to get copy              

 

 

THE TEACHER EFFICACY SCALE

(Short Form)

     Click The Book to get copy              

Directions for Scoring the Teacher Efficacy Scales

1. Factor Analysis

Using either the 22-items or the 10-item version of the Teacher Efficacy Scale, it is important to conduct a factor analysis to determine how your subjects respond to the questions. We have consistently found two independent factors: Teaching Efficacy (TE) and Personal Efficacy (PE), but at times the make up of the scales varies slightly. For example, we often find that items 15 and 21 of the 22-item version do not load on either factor and must be dropped.

2. Reverse scoring:

Given the 1="strongly agree" to 6="strongly disagree" format, if you want a high score on each scale to indicate strong sense of efficacy, then you must reverse the scoring for the Personal Efficacy items. Thus a "strongly agree" response to the statement, "When I try really, I can get through to most difficult students" must be reversed so that the respondent receives a score of 6 rather than 1.

The reverse scored items on the 22-item version are: 1, 5, 6, 7, 8, 11, 12, 14, 15*, 16, 18, 19, 22

The reverse scored items on the 10-item version are: 3, 6, 7, 8, 9

*Note that item 15 is the only reversed item that is from the Teaching Efficacy, not Personal Efficacy scale.

3. TE and PE Scores:

To determine the TE and PE scores, we compute unweighed means of the items that load .35 or higher on each respective factor. We do not recommend combining the TE and PE scores to compute a total score because the TE and PE scales represent independent factors.

CLICK HERE FOR OTHER TEACHER EFFICACY SCALES

 

 

 

 

CLICK HERE FOR Professor Bandura's Guide for Developing Efficacy Scales

 

   UP

 

COLLECTIVE EFFICACY SCALE (CE-SCALE)

CLICK HERE FOR  A COPY OF THE COLLECTIVE EFFICACY SCALE

Scoring Directions for the CE-Scale

The Collective Efficacy Scale (CE-Scale) is a 21-item scale. Ten of the items in this scale are reversed scored, that is, “1” is scored “6,” “2” is scored “5,” etc. For example, the item,  “If a child doesn’t want to learn teachers here give up,” is scored in reverse. Thus, a strongly agree “6” would be scored “1,” suggesting low efficacy.

To score the scale:

1. First reverse scores on the following items: 3, 4, 8, 10, 11, 12, 16, 18, 19, 20.

2. Then add the scores for all 21 items: the greater the sum, the higher the collective efficacy.

3. Average all the individual teacher scores to find a collective efficacy score of the school.

Validity and Reliability Evidence for the Collective Efficacy Scale

The development of the 21- collective efficacy scale included several phases. Scale development began initially by modifying items from the original Gibson and Dembo (1984) teacher efficacy scale to reflect collective efficacy (i.e., changing the object of the efficacy items from “”I” to “We”). Next, additional items were written in response to a review by a panel of experts with experience in teacher efficacy research. Following this review, the items were subjected to a field test and then a pilot test with of 46 teachers in 46 schools (1 teacher from each school). Results from the pilot study suggested that the 21 items did indeed offer a valid and reliable measure of collective efficacy (for a detailed discussion of the pilot study results see Goddard, Hoy, and Woolfolk, Hoy, 2000).

Based on the promise of the results from the initial phases of our study, we decided to test the criterion-related validity, predictive validity and reliability of scores on the collective efficacy scale in a more comprehensive sample. A sample of 452 teachers in 47 randomly selected elementary schools in a large urban district in the Midwest completed the collective efficacy survey. At the school level (for a rationale see Goddard, in press), the 21 collective efficacy items were submitted to a principal axis factor analysis. All items loaded strongly on a single factor and explained 57.89 percent of the item variation. The alpha coefficient of reliability was strong (.96).

Criterion-related validity of the school collective efficacy scores was tested in several ways. The criterion variables examined were personal teaching efficacy (Hoy & Woolfolk, 1993), faculty trust in colleagues (Hoy & Kupersmith, 1985), and environmental press (Hoy & Sabo, 1998). ). Personal teaching efficacy is a measure of a teacher’s self-perceptions of capability to educate students. It was predicted that when aggregated to the school level, teachers’ perceptions of personal efficacy would be moderately and positively related to collective teacher efficacy; a high correlation was not expected because personal and collective teacher efficacy have different referents (self versus group). Moreover, the collective teacher efficacy measure directly assesses perceptions of both perceived competence and task whereas the personal teacher efficacy measure includes only items about competence. As predicted, there was a moderate and positive (r=. 54, p<.01) correlation between personal teacher efficacy aggregated at the school level and collective teacher efficacy.

         A positive relationship between faculty trust in colleagues and collective teacher efficacy was predicted, and similar to the pilot results, trust in colleagues was positively and significantly related to collective teacher efficacy  (r=.62, p<.01).

        Finally, we predicted no relationship between collective teacher efficacy and environmental press or the extent to which teachers experience “unreasonable community demands” (Hoy & Sabo, 1998). There is no a priori reason to expect that teachers’ assessments of group capabilities would be associated with their perceptions of external demands. In other words, a demanding task and external pressures do not necessarily make people feel more or less capable. It is how they handle the pressure that determines capability. As predicted, the observed relationship between collective teacher efficacy and environmental press was not statistically significant (r=.05, n.s.).

        As a test of predictive validity, we employed hierarchical linear modeling to show that scores on the collective efficacy scale were significant predictors of the mathematics and reading achievement (measured by the 7th Edition of Metropolitan Achievement Test) of 7016 2nd, 3rd, and 5th grade students who attended the 47 sampled schools.

        Taken together, these results provide, content, criterion-related, and predictive validity evidence for scores on the collective efficacy scale as well as strong reliability evidence.

References

Gibson, S., & Dembo, M. (1984). Teacher efficacy: A construct validation. Journal of Educational Psychology, 76(4), 569‑582.              

Goddard, R.D., Hoy, W.K., Woolfolk, A. (2000). Collective teacher efficacy: Its meaning, measure, and effect on student achievement. American Education Research Journal, 37(2), 479-507.

Goddard, R.D. (2002). A theoretical and empirical analysis of the measurement of collective efficacy: The development of a short form. Educational and Psychological Measurement, 93, 467-476.

Hoy, W.K., and Kupersmith, W.J. (1985). The meaning and measure of faculty trust. Educational and psychological research, 5(1), 1-10.

Hoy, W.K. and Sabo, D.J. (1998). Quality middle schools: Open and healthy. Thousand Oaks, CA: Corwin Press, Inc.

   Hoy, W. K. & Woolfolk, A. E. (1993). Teachers' sense of efficacy and the organizational health of schools. The Elementary School Journal, 93,356-372.

 

 

 

CLICK HERE FOR  COLLECTIVE EFFICACY SCALE

                                                 (Short Version)

 

Scoring Directions for the Short Form of the CE-Scale

The Short Form of the Collective Efficacy Scale is a 12-item scale. Half of the items in this scale are reversed scored, that is, “1” is scored “6,” “2” is scored “5,” etc. For example, the item,  “If a child doesn’t want to learn teachers here give up,” is scored in reverse. Thus, a strongly agree “6” would be scored “1,” suggesting low efficacy.

To score the scale:

1. First, reverse scores on the following items: 3, 4, 8, 9, 11, 12.

2. Next, compute the average item score for each of the 12 items; that is, for each item, sum all the individual scores and divide by the number of teachers in the school for which you have a response. You will have an average school score for each of the 12 items.

3. Finally, sum the average item scores for all 12 items and divide by 12; the average collective efficacy (CE) score for your school will be between 1 and 6.

Validity and Reliability Evidence for the Short Form of the Collective Efficacy Scale

Goddard (2002) built on the work of  Goddard, Hoy, and Woolfolk, Hoy, 2000) to develop and test a 12-item short Collective Efficacy Scale  The psychometric properties of the short form are impressive and at least equivalent to the longer 21-item form; the validity and reliability of the short form are strong (Goddard, 2002).

Computing a Standardized Score for the Collective Efficacy Scale.

To convert the collective efficacy score to standardized score with a mean of 500 and a standard deviation of 100, which we call SdS score, use the following formula:

SdS for CE=100(CE-4.1201)/.6392+500

            First, compute the difference between your school's average collective efficacy score and the mean for the normative sample (CE-4.1201).  Then multiply the difference by one hundred [100(CE-4.1201)].  Next divide the product by the standard deviation of the normative sample (.6392).  Then add 500 to the result.  You have computed a standardized score (SdS) for the collective efficacy of your school.

You have standardized your school scores against the normative data provided in a representative Ohio sample. For example, if your school score is 700, it is two standard deviations above the average score of all schools in the sample; that is, the school has stronger collective efficacy  than 97% of the schools in the sample. You may recognize this system as the one used in reporting individual scores on the SAT, CEEB, and GRE. The range of these scores is presented below:

    If the score is 200, it is lower than 99% of the schools.

    If the score is 300, it is lower than 97% of the schools.

    If the score is 400, it is lower than 84% of the schools.

    If the score is 500, it is average.

    If the score is 600, it is higher than 84% of the schools.

    If the score is 700, it is higher than 97% of the schools.

    If the score is 800, it is higher than 99% of the schools.

 

References

            

Goddard, R.D., Hoy, W.K., Woolfolk, A. (2000). Collective teacher efficacy: Its meaning, measure, and effect on student achievement. American Education Research Journal, 37(2), 479-507.

Goddard, R.D. (2002). A theoretical and empirical analysis of the measurement of collective efficacy: The development of a short form. Educational and Psychological Measurement.

 

   UP

 

 

 

 

 

 

 

 

 

 

 

 

 

 

The Trust Scales

 

Developed by Wayne K. Hoy & Megan Tschannen-Moran

Definition of Trust

Trust is an individual’s or group’s willingness to be vulnerable to another party based on the confidence that the latter party is benevolent, reliable, competent, honest, and open.

Out research has led us to conclude there are at least three dimensions of faculty trust—trust in the principal, trust in colleagues, and trust in clients (students and parents). Vulnerability, benevolence, reliability, competence, honesty, and openness characterize each of these dimensions of trust.

Reliability and Validity of the T-Scale

The T-Scale is an operational measure of these three dimensions of trust. The reliabilities of the three subscales typically range from .90 to .98. Factor analytic studies of the T-Scale support the construct validity of the concept. For a discussion of the measure and its properties, see:

Hoy, W. K. & Tschannen-Moran, M. (1999). Five faces of trust: An empirical confirmation in urban elementary schools. Journal of School Leadership, 9, 184-208.

T-Scale

The latest version of the T-Scale (37 Likert items) measures three subscales:

Faculty Trust in the Principal

Faculty Trust in Colleagues

Faculty Trust in Clients

Scoring Key

Faculty Trust in the Principal—Items 1, 4*, 7, 10, 13*, 16*, 19, 22, 25, 28*, 30

Faculty Trust in Colleagues—Items 2, 5, 8*, 11, 14, 20, 23, 26

Faculty Trust in Clients—Items 3, 6, 9*, 12, 15, 18, 21, 24, 27, 29, 31, 32*, 

33, 34*, 35

*Items are reversed scored, that is, [1=6, 2=5, 3=4, 4=3, 5=2, 6=1]

Items 17, 36, 37 are filler items and are not scored.

 

  Click The Book to get copy of T-Scale              

 

 

 

 

 

 

The Omnibus T-Scale

Definition of Trust

Trust is an individual’s or group’s willingness to be vulnerable to another party based on the confidence that the latter party is benevolent, reliable, competent, honest, and open.

Out research has led us to conclude there are at least three dimensions of faculty trust—trust in the principal, trust in colleagues, and trust in clients (students and parents). Vulnerability, benevolence, reliability, competence, honesty, and openness characterize each of these dimensions of trust.

Reliability and Validity of the Omnibus T-Scale

The Omnibus T-Scale is a short operational measure of these three dimensions of trust, which can be used for either elementary or secondary schools.. The reliabilities of the three subscales typically range from .90 to .98. Factor analytic studies of the Omnibus T-Scale support the construct and discriminant validity of the concept. For a discussion of the measure and its psychometric properties, Click Here

Omnibus T-Scale

The latest version of the Omnibus T-Scale (26 Likert items) measures three subscales:

Scoring Key

Faculty Trust in the Principal—Items 1, 4*, 7, 9, 11*, 15, 18, 23*

Faculty Trust in Colleagues—Items 2, 5, 8*, 12, 13, 16, 19, 21

Faculty Trust in Clients—Items 3, 6, 10, 14, 17, 20, 22, 24, 25, 26*

*Items are reversed scored, that is, [1=6, 2=5, 3=4, 4=3, 5=2, 6=1]

For each school, first compute the average score for every item. Use these average item scores in the

next set of computations to determine the faculty trust subtest scores for your school.

For each of the three subtests, compute the school score by adding the values for the items composing that scale and then dividing by the number of items.  For example,

Faculty Trust in Clients (TCl) =  Scores for items  3, 6, 10, 14, 17, 20, 22, 24, 25, 26* are summed and divided by 10 .

Faculty Trust in the Principal (TP) = Scores for items 1, 4*, 7, 9, 11*, 15, 18, 23* are summed and divided by 8.

Faculty Trust in Colleagues= (TCo) = Scores for items 2, 5, 8*, 12, 13, 16, 19, 21 are summed and divided by 8.

Computing the Standardized Scores for the T-scales for purposes of comparison:

Convert the school subtest scores to standardized scores with a mean of 500 and a standard deviation of 100.  Use the following formulas:

            Standard Score for Trust in Clients (TCl) = 100(TCl-3.53)/.621+500

            First compute the difference between your school score on (TCl) and the mean for the normative sample (TCl-3.53).  Then multiply the difference by one hundred [100(TCl-3.53)].  Next divide the product by the standard deviation of the normative sample (.621).  Then add 500 to the result.  You have computed a standardized score Standard Score for Faculty Trust in Clients.

Repeat the process for each trust dimension as follows:

            Standard Score for Trust in the Principal (TP) = 100(TP-4.42)/.725+500

            Standard Score for Trust in Colleagues (TCo) = 100(TCo-4.46)/.443+500

           

You have standardized your school scores against the normative data provided in the Ohio sample. For example, if your school score is 700 on faculty trust in colleagues, it is two standard deviations above the average score on faculty trust in colleagues of all schools in the sample; that is, the school has more faculty trust in colleagues than 97% of the schools in the sample. You may recognize this system as the one used in reporting individual scores on the SAT, CEEB, and GRE. The range of these scores is presented below:

    If the score is 200, it is lower than 99% of the schools.

    If the score is 300, it is lower than 97% of the schools.

    If the score is 400, it is lower than 84% of the schools.

    If the score is 500, it is average.

    If the score is 600, it is higher than 84% of the schools.

    If the score is 700, it is higher than 97% of the schools.

    If the score is 800, it is higher than 99% of the schools.

 

  Click The Book to get copy of Omnibus T-Scale              

 

 

 

 

 

 

PCI Form

 

Conceptualization of Pupil Control Ideology

Pupil control ideology is conceptualized along a continuum from custodial at one extreme to humanism at the other.

The rigidly traditional school serves as a model for the custodial orientation. This kind of organization provides a highly controlled setting concerned primarily with the maintenance of order. Students are stereotyped in terms of their appearance, behavior, and parents' social status. Teachers do not attempt to understand student misbehavior; in fact, they view misbehavior as bad and believe that irresponsible and undisciplined persons should me controlled through punitive sanctions. Watchful mistrust and autocratic control are the critical aspects of a custodial perspective.

The model for the humanistic orientation is the school conceived of as an educational community in which members learn through interaction and experience. Student learning and behavior are viewed in psychological and sociological terms rather than moralistic ones. The withdrawn student is seen just as much of a problem as the troublesome one. Teachers believe that students can learn to be responsible and self-regulating individuals. Moreover, the humanistic teacher is optimistic about the student and has open and friendly relations with students. A humanistic orientation leads teachers to desire a democratic classroom climate with its attendant flexibility in status and rules, open channels of two-way communication, and increased self-determination. Teachers and students are willing to act on their own volition and accept responsibility for their actions

Reliability and Validity of the PCI Form

The PCI Form is a 20-item Likert-type scale that measures the degree to which an individual's pupil control ideology is custodial; the higher the score, the more custodial the ideology and conversely, the lower the score, the more humanistic the attitude. The reliability of the scale is consistently high--usually .80-.91 (Packard, 1988; Willower, Eidell, & Hoy, 1967). The construct validity of the scale has been supported in a number of studies (for example, see Packard, 1988; Willower, Eidell, & Hoy, 1967).

Suggested Readings

Hoy, W. K. (2001). The pupil control studies: A historical, theoretical, and empirical analysis. Journal of Educational Administration, 39, 424-44.

Packard, J. S. (1988). The pupil control studies. In N. J. Boyan (Ed.), Handbook of research on educational administration (pp. 185-207). New York: Longman.

Willower, D. J., Eidell, T. L., & Hoy, W. K. (1967). The school and pupil control. University Park, PA: The Pennsylvania State University.

Scoring Key

Items are scored 5, 4, 3, 2, or 1 corresponding to the extent of agreement, with strongly agree=5, agree=4, undecided=3, disagree=2, or strongly disagree=1 with each statement. Items 5 and 13 are reversed scored, that is, strongly agree=1, agree=2, undecided=3, disagree=4, or strongly disagree=5. The higher the cumulative score on the scale, the more custodial the perspective is judged to be.

  Click The Book to get copy of PCI Form              

 

 

ORGANIZATIONAL CLIMATE INDEX [OCI]

 

The Organizational Climate Index (OCI)<