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Explaining IT Professionals' Organizational Commitment Based on Age, Gender, and Personality Trait Factor
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Syed, Javaid A. – ProQuest LLC, 2017
The purpose of the present study was to test the Emotional Stability dimension of the Big Five factors of personality traits theory to predict or explain a relationship with Employee Organizational Commitment, when the relationship between Emotional Stability (ES) and Employee Organizational Commitment (EOC) was moderated by Gender and AgeGroup.…
Descriptors: Information Technology, Multiple Regression Analysis, Personality Traits, Prediction
The Effect of Computer Models as Formative Assessment on Student Understanding of the Nature of Models
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Park, Mihwa; Liu, Xiufeng; Smith, Erica; Waight, Noemi – Chemistry Education Research and Practice, 2017
This study reports the effect of computer models as formative assessment on high school students' understanding of the nature of models. Nine high school teachers integrated computer models and associated formative assessments into their yearlong high school chemistry course. A pre-test and post-test of students' understanding of the nature of…
Descriptors: Formative Evaluation, Pretests Posttests, Computer Assisted Instruction, Teaching Methods
Examination of the Double-Deficit Hypothesis with Adolescents and Young Adults with Dyslexia
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Nelson, Jason M. – Annals of Dyslexia, 2015
The double-deficit hypothesis (DDH) of the developmental dyslexias (Wolf and Bowers, "Journal of Educational Psychology", 91, 415-438, 1999) was investigated with 149 adolescents and young adults (age range?=?16 to 24 years) with dyslexia. Confirmatory factor analysis indicated that a two-factor model with separate naming speed (NS) and…
Descriptors: Dyslexia, Adolescents, Young Adults, Factor Analysis
A Skew-Normal Mixture Regression Model
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Liu, Min; Lin, Tsung-I – Educational and Psychological Measurement, 2014
A challenge associated with traditional mixture regression models (MRMs), which rest on the assumption of normally distributed errors, is determining the number of unobserved groups. Specifically, even slight deviations from normality can lead to the detection of spurious classes. The current work aims to (a) examine how sensitive the commonly…
Descriptors: Regression (Statistics), Evaluation Methods, Indexes, Models
A Primer for Analyzing Nested Data: Multilevel Modeling in SPSS Using an Example from a REL Study. REL 2015-046
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O'Dwyer, Laura M.; Parker, Caroline E. – Regional Educational Laboratory Northeast & Islands, 2014
Analyzing data that possess some form of nesting is often challenging for applied researchers or district staff who are involved in or in charge of conducting data analyses. This report provides a description of the challenges for analyzing nested data and provides a primer of how multilevel regression modeling may be used to resolve these…
Descriptors: Multiple Regression Analysis, Statistical Analysis, Data, Models
Aggression in Primary Schools: The Predictive Power of the School and Home Environment
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Kozina, Ana – Educational Studies, 2015
In this study, we analyse the predictive power of home and school environment-related factors for determining pupils' aggression. The multiple regression analyses are performed for fourth- and eighth-grade pupils based on the Trends in Mathematics and Science Study (TIMSS) 2007 (N = 8394) and TIMSS 2011 (N = 9415) databases for Slovenia. At the…
Descriptors: Aggression, Elementary Schools, Predictive Validity, Educational Environment