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Bozena Wielgoszewska – Sage Research Methods Cases, 2016
In 2014, I started working on the PhD project, which aims at understanding the causes and consequences of university graduates following different types of career pathways. On route to achieving this aim, I faced a challenging task of deriving a typology, which was theoretically meaningful and suitable for further quantitative analysis. As the…
Descriptors: Classification, College Graduates, Career Pathways, Case Studies
Reshetar, Rosemary; Kaliski, Pamela; Chajewski, Michael; Lionberger, Karen – College Board, 2012
This presentation summarizes a pilot study conducted after the May 2011 administration of the AP Environmental Science Exam. The study used analytical methods based on scaled anchoring as input to a Performance Level Descriptor validation process that solicited systematic input from subject matter experts.
Descriptors: Advanced Placement Programs, Science Tests, Achievement Tests, Classification
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
Skinner, Harvey A.; Lei, Hau – 1980
Modal Profile Analysis (MPA) is a Fortran IV program for the identification and cross validation of relatively homogenous subgroups within a dimensional or ordination space. This classification approach is designed for use with several samples in a multiple replication design. The program consists of three stages: (1) identification of preliminary…
Descriptors: Classification, Computer Programs, Program Descriptions, Research Design
McDermott, Paul A.; Watkins, Marley W. – 1979
A computer program named Program STANDARD is presented and demonstrated. This program calculates the statistical significance of the overall agreement of the categorical assignments. The program is based on Light's statistic, G, for describing the conjoint agreement of many observers with correct or standard set of classifications on nominal…
Descriptors: Classification, Computer Programs, Goodness of Fit, Nonparametric Statistics