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Alison K. Cohen – Sage Research Methods Cases, 2014
This case study presents an example of using a generalized linear model with a log-linear link to calculate an adjusted risk ratio to be able to assess the association between educational attainment and obesity in a cohort study of American adults. Both risk ratios and odds ratios can be calculated based on cohort study data, and risk ratios are…
Descriptors: Models, Computation, Risk, Educational Attainment
Shanshan Wang; Carrie Biales; Ying Guo; Allison Breit-Smith – Sage Research Methods Cases, 2017
This case study uses structural equation modeling to examine the predictive validity of the Read Aloud Profile-Together, a measure of the distinct behaviors of parents and children during shared book reading, in relation to preschool children's early reading competency. Using secondary data analysis, this case study includes 800 parent-child pairs…
Descriptors: Predictive Validity, Preschool Children, Books, Reading Skills
Andrew J. Martin; Harry Nejad; Susan Colmar; Gregory Arief D. Liem – Sage Research Methods Cases, 2014
This case study describes a program of research that developed a new measure--the Adaptability Scale--and then tested this new measure through a set of substantive research questions and publications. Three phases of this research program are detailed: a measurement phase, a modeling phase, and a mediation phase. The aim of this case study is to…
Descriptors: Test Construction, Measures (Individuals), Research Methodology, Factor Analysis
Patelis, Thanos – College Board, 2012
This is a keynote presentation given at AERA on developing a validity agenda for growth models in a large scale (e.g., state) setting. The emphasis of this presentation was to indicate that growth models and the validity agenda designed to provide evidence in supporting the claims to be made need to be personalized to meet the local or…
Descriptors: Test Validity, Statistical Analysis, Conferences (Gatherings), Evidence
Kobrin, Jennifer L.; Patterson, Brian F. – College Board, 2010
There is substantial variability in the degree to which the SAT and high school grade point average (HSGPA) predict first-year college performance at different institutions. This paper demonstrates the usefulness of multilevel modeling as a tool to uncover institutional characteristics that are associated with this variability. In a model that…
Descriptors: Scores, Validity, Prediction, College Freshmen
Kim, YoungKoung Rachel – College Board, 2009
Presented at the national conference for AERA (American Educational Research Association) in April 2009. The large variability of SAT taker population across states makes state-by-state comparisons of the SAT scores challenging. Using a mixture modeling approach, therefore, the current study presents a method of identifying subpopulations in terms…
Descriptors: Conference Papers, Scores, Comparative Analysis, College Entrance Examinations
Lawson, Edwin D.; Metivier, Barbara L. – 1980
Seven computer programs were written for use with the semantic differential and two additional programs were modified or expanded. The nine programs can compute the following: means, standard deviations, and standard errors on nine subscales and on evaluation, potency, and activity factors (EPA); Osgood D values for all concepts; correlations…
Descriptors: Adjectives, Attitude Measures, Computer Programs, Models
Brandenburg, Richard K.; Simpson, William A. – 1983
The way that graphs can be used to make calculations that are commonly used by institutional researchers is described using specific examples, and the technique of constructing computational graphs (and nomographs) is outlined. It is shown that once a calculation involving several variables has been represented by a computation diagram or a…
Descriptors: College Planning, Computation, Data Analysis, Diagrams