Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 7 |
Descriptor
Item Analysis | 10 |
Program Validation | 10 |
Structural Equation Models | 10 |
Measurement Techniques | 5 |
Psychometrics | 5 |
Factor Analysis | 4 |
Evaluation Methods | 3 |
Foreign Countries | 3 |
Goodness of Fit | 3 |
Athletes | 2 |
Comparative Testing | 2 |
More ▼ |
Source
Author
Bowles, Tyler J. | 2 |
Jones, Jason | 2 |
Aldhafri, Said | 1 |
Balcazar, Fabricio E. | 1 |
Brown, E. Todd | 1 |
Choosakul, Chairat | 1 |
Clough, Peter J. | 1 |
Collins, Gary | 1 |
Crust, Lee | 1 |
Garcia-Iriarte, Edurne | 1 |
Harmer, Peter | 1 |
More ▼ |
Publication Type
Journal Articles | 10 |
Reports - Research | 6 |
Reports - Evaluative | 3 |
Information Analyses | 1 |
Reports - Descriptive | 1 |
Education Level
Elementary Secondary Education | 2 |
Higher Education | 2 |
Adult Education | 1 |
Middle Schools | 1 |
Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Loorbach, Nicole; Peters, Oscar; Karreman, Joyce; Steehouder, MichaĆ«l – British Journal of Educational Technology, 2015
The ARCS Model of Motivational Design has been used myriad times to design motivational instructions that focus on attention, relevance, confidence and satisfaction in order to motivate students. The Instructional Materials Motivation Survey (IMMS) is a 36-item situational measure of people's reactions to instructional materials in the light…
Descriptors: Instructional Materials, Program Validation, Independent Study, Technology Uses in Education
Taylor-Ritzler, Tina; Suarez-Balcazar, Yolanda; Garcia-Iriarte, Edurne; Henry, David B.; Balcazar, Fabricio E. – American Journal of Evaluation, 2013
This study describes the development and validation of the Evaluation Capacity Assessment Instrument (ECAI), a measure designed to assess evaluation capacity among staff of nonprofit organizations that is based on a synthesis model of evaluation capacity. One hundred and sixty-nine staff of nonprofit organizations completed the ECAI. The 68-item…
Descriptors: Factor Analysis, Evaluation Methods, Nonprofit Organizations, Capacity Building
Perry, John L.; Nicholls, Adam R.; Clough, Peter J.; Crust, Lee – Measurement in Physical Education and Exercise Science, 2015
Despite the limitations of overgeneralizing cutoff values for confirmatory factor analysis (CFA; e.g., Marsh, Hau, & Wen, 2004), they are still often employed as golden rules for assessing factorial validity in sport and exercise psychology. The purpose of this study was to investigate the appropriateness of using the CFA approach with these…
Descriptors: Factor Analysis, Structural Equation Models, Goodness of Fit, Sport Psychology
Stone, Gregory Ethan; Koskey, Kristin L. K.; Sondergeld, Toni A. – Educational and Psychological Measurement, 2011
Typical validation studies on standard setting models, most notably the Angoff and modified Angoff models, have ignored construct development, a critical aspect associated with all conceptualizations of measurement processes. Stone compared the Angoff and objective standard setting (OSS) models and found that Angoff failed to define a legitimate…
Descriptors: Cutting Scores, Standard Setting (Scoring), Models, Construct Validity
Klassen, Robert M.; Aldhafri, Said; Mansfield, Caroline F.; Purwanto, Edy; Siu, Angela F. Y.; Wong, Marina W.; Woods-McConney, Amanda – Journal of Experimental Education, 2012
This study explored the validity of the Utrecht Work Engagement Scale in a sample of 853 practicing teachers from Australia, Canada, China (Hong Kong), Indonesia, and Oman. The authors used multigroup confirmatory factor analysis to test the factor structure and measurement invariance across settings, after which they examined the relationships…
Descriptors: Job Satisfaction, Factor Structure, Measures (Individuals), Factor Analysis
Choosakul, Chairat; Vongjaturapat, Naruepon; Li, Fuzhong; Harmer, Peter – Measurement in Physical Education and Exercise Science, 2009
Grounded in the conceptual framework of the Sport Commitment Model and previous empirical studies conducted in Western countries, this study was designed to (a) test and validate a Thai version of the Athlete Opinion Survey to assess components of the Sport Commitment Model in Thai youth athletes and (b) examine structural relationships among…
Descriptors: Structural Equation Models, Opinions, Athletes, Youth
Saderholm, Jon; Ronau, Robert; Brown, E. Todd; Collins, Gary – School Science and Mathematics, 2010
The Diagnostic Teacher Assessment in Mathematics and Science (DTAMS) was developed to measure the content knowledge and pedagogical content knowledge of middle-school teachers. Its reliability and validity were initially established by reviewing national standards for content and use of expert question writing teams and reviewers. DTAMS was…
Descriptors: Structural Equation Models, Mathematics Achievement, Pedagogical Content Knowledge, Item Response Theory
Noar, Seth M. – Structural Equation Modeling: A Multidisciplinary Journal, 2003
Across a variety of disciplines and areas of inquiry, reliable and valid measures are a cornerstone of quality research. This is the case because to have confidence in the findings of our studies, we must first have confidence in the quality of our measures. This article briefly reviews the literature on scale development and provides an empirical…
Descriptors: Measures (Individuals), Factor Analysis, Structural Equation Models, Test Validity
Bowles, Tyler J.; Jones, Jason – Journal of College Student Retention: Research, Theory & Practice, 2004
Single equation regression models have been used rather extensively to test the effectiveness of Supplemental Instruction (SI). This approach, however, fails to account for the possibility that SI attendance and the outcome of SI attendance are jointly determined endogenous variables. Moreover, the standard approach fails to account for the fact…
Descriptors: Academic Ability, Supplementary Education, Instructional Effectiveness, Regression (Statistics)
Bowles, Tyler J.; Jones, Jason – Journal of College Student Retention: Research, Theory & Practice, 2004
Single equation regression models have been used to test the effect of Supplemental Instruction (SI) on student retention. These models, however, fail to account for the two salient features of SI attendance and retention: (1) both SI attendance and retention are categorical variables, and (2) are jointly determined endogenous variables. Adopting…
Descriptors: School Holding Power, Economics Education, Supplementary Education, Academic Persistence