Criteria for Scale Selection and Evaluation

Robinson, John P.; Shaver, Phillip R.; Wrightsman, Lawrence S.

doi:10.1016/b978-0-12-590241-0.50005-8

Cited by 865 publications

(650 citation statements)

References 9 publications

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“…Willems et al recommend further validation studies on the SCIBI by paying attention to convergent, discriminant, and predictive validity. This is in line with several methodological criteria that can be used in order to evaluate the psychometric properties of a self-report instrument, including reliability, confirmatory factor analysis, and several forms of construct validity (Robinson, Shaver, & Wrightsman, 1991).…”

supporting

confidence: 74%

Measuring staff behavior towards clients with ID and challenging behavior: Further psychometric evaluation of the Staff-Client Interactive Behavior Inventory (SCIBI)

Willems

Embregts

Hendriks

et al. 2012

Research in Developmental Disabilities

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supporting

confidence: 74%

Measuring staff behavior towards clients with ID and challenging behavior: Further psychometric evaluation of the Staff-Client Interactive Behavior Inventory (SCIBI)

Willems

Embregts

Hendriks

et al. 2012

Research in Developmental Disabilities

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“…All the measures have demonstrated acceptable reliability values (≥ .70) in previous studies. This is in concordance with the proposition of Nunnally (1978) ( ≥ .60), which is assumed to be heuristic by Robinson, Shaver and Wrightsman (1991).…”

Section: Measurementsupporting

confidence: 76%

An Assessment of Consumers’ Willingness to Patronize Foreign-Based Business Format Franchises: An Investigation in the Fast-Food Sector

Ertekin

Pelton

2014

Proceedings of the 2010 Academy of Marketing Science (AMS) Annual Conference

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“…Descriptive statistics of the participants' scores on these scales, values of coefficient alpha, and correlation coefficients with their ratings of general satisfaction are shown in Table 3. The values of coefficient alpha for the first three scales would be regarded as satisfactory on conventional research-based criteria, but the value for the fourth would not (Robinson, Shaver, & Wrightsman, 1991). The correlation coefficients between the scores on the four factor-based scales and the students' ratings of their general satisfaction were all positive and statistically significant, which confirms the criterion validity of the scale scores as measures of perceived academic quality.…”

Section: Resultssupporting

confidence: 53%

Validating the Course Experience Questionnaire in West Bengal higher secondary education

Chakrabarty

Richardson

Sen

2016

Studies in Educational Evaluation

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AcknowledgementsWe are grateful to the schools in West Bengal who provided access to their students.West Bengal 2 ABSTRACT The Course Experience Questionnaire (CEQ) is a 36-item instrument that is intended to measure six different aspects of students' perceptions of the academic quality of their programmes. It has been widely used in Western countries, and it has also been used in nonWestern countries, including China, Hong Kong, Japan and Pakistan. Nevertheless, in the latter countries, it has sometimes not been possible to identify the full range of constructs that were supposed to be measured by the original CEQ. We translated the CEQ into Bengali and administered this to 552 science students at 15 higher secondary schools in West Bengal, India. A confirmatory factor analysis found that their responses provided a poor fit to the original six-factor model of the CEQ. An exploratory factor analysis identified just four constructs, which reflected good teaching, generic skills, student support and appropriate workload. The items with salient loadings on the four factors were used to construct four scales. The students' scores on three of the four scales showed satisfactory levels of internal consistency. A factor analysis of their scores on all four scales yielded one overarching factor that could be interpreted as a measure of perceived academic quality. A reduced version of the CEQ consisting of the 30 items that constitute these four scales can be recommended as a measure of students' perceptions of the academic quality of programmes in West Bengal.

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Criteria for Scale Selection and Evaluation

Cited by 865 publications

References 9 publications

Measuring staff behavior towards clients with ID and challenging behavior: Further psychometric evaluation of the Staff-Client Interactive Behavior Inventory (SCIBI)

Measuring staff behavior towards clients with ID and challenging behavior: Further psychometric evaluation of the Staff-Client Interactive Behavior Inventory (SCIBI)

An Assessment of Consumers’ Willingness to Patronize Foreign-Based Business Format Franchises: An Investigation in the Fast-Food Sector

Validating the Course Experience Questionnaire in West Bengal higher secondary education

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