NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 6 results Save | Export
Chatman, Steve – Center for Studies in Higher Education, 2011
Using the example of responses from civil engineering students at a very highly ranked participating university, this guide demonstrates the importance of comparative data when using student questionnaire data for undergraduate academic program review. It also emphasizes the advantage of using factor structures for better questionnaire-based…
Descriptors: Research Universities, Student Surveys, Civil Engineering, Student Experience
Peer reviewed Peer reviewed
Direct linkDirect link
Geiser, Christian; Eid, Michael; Nussbeck, Fridtjof W. – Psychological Methods, 2008
In a recent article, A. Maydeu-Olivares and D. L. Coffman (2006, see EJ751121) presented a random intercept factor approach for modeling idiosyncratic response styles in questionnaire data and compared this approach with competing confirmatory factor analysis models. Among the competing models was the CT-C(M-1) model (M. Eid, 2000). In an…
Descriptors: Factor Structure, Factor Analysis, Structural Equation Models, Questionnaires
Peer reviewed Peer reviewed
Direct linkDirect link
Govaerts, Sophie; Gregoire, Jacques – International Journal of Testing, 2008
This article describes the development and two studies on the construct validity of the Academic Emotions Scale (AES). The AES is a French self-report questionnaire assessing six emotions in the context of school learning: enjoyment, hope, pride, anxiety, shame and frustration. Its construct validity was studied through exploratory and…
Descriptors: Construct Validity, Test Validity, Factor Structure, Measures (Individuals)
Peer reviewed Peer reviewed
Direct linkDirect link
Vautier, Stephane; Callahan, Stacey; Moncany, Delphine; Sztulman, Henri – Structural Equation Modeling, 2004
Single constructs measured using positively and negatively worded items are often incompatible with a congeneric model, but require 2 correlated factors. Imperfect correlation entails that 2 independent dimensions are required for representing the true variance. If 2 dimensions are sought, how can they be interpreted? This study shows how to…
Descriptors: Factor Structure, Anxiety, Questionnaires, Construct Validity
Peer reviewed Peer reviewed
Direct linkDirect link
Hazlett-Stevens, Holly; Ullman, Jodie B.; Craske, Michelle G. – Assessment, 2004
The Penn State Worry Questionnaire (PSWQ) was originally designed as a unifactorial measure of pathological trait worry. However, recent studies supported a two-factor solution with positively worded items loading on the first factor and reverse-scored items loading on a second factor. The current study compared this two-factor model to a negative…
Descriptors: Measures (Individuals), Psychometrics, Factor Structure, Questionnaires
Villanova, Robert M. – 1984
This paper reports on the development and refinement of the Connecticut School Effectiveness Questionnaire (CSEQ) and the Connecticut School Effectiveness Interview (CSEI), the primary data collection tools used in the Connecticut State Department of Education School Effectiveness Project. The primary purpose of both the CSEI and the CSEQ is to…
Descriptors: Elementary Secondary Education, Factor Structure, Institutional Characteristics, Interviews