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Ben Stenhaug; Ben Domingue – Grantee Submission, 2022
The fit of an item response model is typically conceptualized as whether a given model could have generated the data. We advocate for an alternative view of fit, "predictive fit", based on the model's ability to predict new data. We derive two predictive fit metrics for item response models that assess how well an estimated item response…
Descriptors: Goodness of Fit, Item Response Theory, Prediction, Models
Masuda, Aline D.; McNall, Laurel A.; Allen, Tammy D.; Nicklin, Jessica M. – Journal of Vocational Behavior, 2012
This paper reports three studies examining construct validity evidence for two recently developed measures of the positive side of the work-family interface: work-to-family positive spillover (WFPS; Hanson, Hammer, & Colton, 2006) and work-to-family enrichment (WFE; Carlson, Kacmar, Wayne, & Grzywacz, 2006). Using confirmatory factor analysis, the…
Descriptors: Life Satisfaction, Job Satisfaction, Construct Validity, Validity
Mulac, Anthony; Giles, Howard; Bradac, James J.; Palomares, Nicholas A. – Language Sciences, 2013
The gender-linked language effect (GLLE) is a phenomenon in which transcripts of female communicators are rated higher on Socio-Intellectual Status and Aesthetic Quality and male communicators are rated higher on Dynamism. This study proposed and tested a new general process model explanation for the GLLE, a central mediating element of which…
Descriptors: Prediction, Photography, Discriminant Analysis, Language Patterns
Lin, Jien-Jou – ProQuest LLC, 2013
Every year a group of graduates from high schools enter the engineering programs across this country with remarkable academic record. However, as reported in numerous studies, the number of students switching out of engineering majors continues to be an important issue. Previous studies have suggested various factors as predictors for student…
Descriptors: Success, Prediction, Predictive Measurement, Predictive Validity
Moffitt, Kevin Christopher – ProQuest LLC, 2011
The three objectives of this dissertation were to develop a question type model for predicting linguistic features of responses to interview questions, create a tool for linguistic analysis of documents, and use lexical bundle analysis to identify linguistic differences between fraudulent and non-fraudulent financial reports. First, The Moffitt…
Descriptors: Cues, Verbs, Natural Language Processing, Discriminant Analysis

Perry, Ronald F.; Rumpf, David L. – Research in Higher Education, 1984
The collection and analysis of survey data directed toward eliciting those characteristics of the institution, applicant, and applicant's family which affect the matriculation decision are reported. Ways in which the results may influence recruiting activities so that limited resources may yield more matriculants are provided. (Author/MLW)
Descriptors: College Admission, College Applicants, Discriminant Analysis, Higher Education
Predicting Eating Disorder Group Membership: An Examination and Extension of the Sociocultural Model
Engler, Patricia A.; Crowther, Janis H.; Dalton, Ginnie; Sanftner, Jennifer L. – Behavior Therapy, 2006
The purpose of this research was to examine and extend portions of the sociocultural model of bulimia nervosa (Stice, E. (1994). Review of the evidence for a sociocultural model of bulimia nervosa and an exploration of the mechanisms of action. "Clinical Psychology Review," 14, 633-661; Stice, E., & Agras, W. S. (1998). Predicting onset and…
Descriptors: Group Membership, Females, Eating Disorders, Behavior Modification

Bruno, James E.; Nelken, Ira – Educational Administration Quarterly, 1975
Examines the propensity of teachers to strike and, using a logit model, how this propensity can be affected by certain decision variables, notably a teacher's political leaning, sex, cynicism, moonlighting, colleague orientation, orientation to the public, age, teaching load, total family income, morale, and attitude toward peer evaluation.…
Descriptors: Discriminant Analysis, Elementary Secondary Education, Models, Multiple Regression Analysis