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Full-Text Articles in Psychology

The Relationship Between Rating Scales Used To Evaluate Tasks From Task Inventories For Licensure And Certification Examinations, Adrienne W. Cadle Feb 2013

The Relationship Between Rating Scales Used To Evaluate Tasks From Task Inventories For Licensure And Certification Examinations, Adrienne W. Cadle

USF Tampa Graduate Theses and Dissertations

The first step in developing or updating a licensure or certification examination is to conduct a job or task analysis. Following completion of the job analysis, a survey validation study is performed to validate the results of the job analysis and to obtain task ratings so that an examination blueprint may be created. Psychometricians and job analysts have spent years arguing over the choice of scales that should be used to evaluate job tasks, as well as how those scales should be combined to create an examination blueprint. The purpose of this study was to determine the relationship between individual …


An Analysis Of Factor Extraction Strategies: A Comparison Of The Relative Strengths Of Principal Axis, Ordinary Least Squares, And Maximum Likelihood In Research Contexts That Include Both Categorical And Continuous Variables, Kevin Barry Coughlin Jan 2013

An Analysis Of Factor Extraction Strategies: A Comparison Of The Relative Strengths Of Principal Axis, Ordinary Least Squares, And Maximum Likelihood In Research Contexts That Include Both Categorical And Continuous Variables, Kevin Barry Coughlin

USF Tampa Graduate Theses and Dissertations

This study is intended to provide researchers with empirically derived guidelines for conducting factor analytic studies in research contexts that include dichotomous and continuous levels of measurement. This study is based on the hypotheses that ordinary least squares (OLS) factor analysis will yield more accurate parameter estimates than maximum likelihood (ML) and principal axis factor anlaysis (PAF); the level of improvement in estimates will be related to the proportion of observed variables that are dichotomized and the strength of communalities within the data sets.

To achieve this study's objective, maximum likelihood, ordinary least squares, and principal axis factor extraction models …