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Elbeck, Matt; Bacon, Don – Journal of Education for Business, 2015
The absence of universally accepted definitions for direct and indirect assessment motivates the purpose of this article: to offer definitions that are literature-based and theoretically driven, meeting K. Lewin's (1945) dictum that, "There is nothing so practical as a good theory" (p. 129). The authors synthesize the literature to…
Descriptors: Definitions, Evaluation Methods, Global Approach, Evidence
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Arias-Estero, José; Castejón, Francisco – European Physical Education Review, 2014
The aim was to analyse the features concerning the applicational purpose and strategy of the most common instruments used to assess game tactics both in Physical Education (PE) and in extra-curricular sport contexts. The review focused on two instruments: the Game Performance Assessment Instrument (GPAI) and the Team Sport Assessment Procedure…
Descriptors: Physical Education, Extracurricular Activities, Evaluation Methods, Evaluation Research
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Grimm, Kevin J.; An, Yang; McArdle, John J.; Zonderman, Alan B.; Resnick, Susan M. – Structural Equation Modeling: A Multidisciplinary Journal, 2012
Latent difference score models (e.g., McArdle & Hamagami, 2001) are extended to include effects from prior changes to subsequent changes. This extension of latent difference scores allows for testing hypotheses where recent changes, as opposed to recent levels, are a primary predictor of subsequent changes. These models are applied to…
Descriptors: Memory, Older Adults, Brain, Structural Equation Models
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Gielen, Sarah; Dochy, Filip; Onghena, Patrick – Assessment & Evaluation in Higher Education, 2011
Since Topping published his literature review on peer assessment in 1998, the number of studies on this subject has doubled, if not tripled. However, along with this expansion, the diversity of peer assessment applications increased equally fast. Based on recent literature, this contribution focuses specifically on the diversity that has come to…
Descriptors: Peer Evaluation, Evaluation Methods, Educational Practices, Predictor Variables
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Kim, Su-Young; Kim, Jee-Seon – Structural Equation Modeling: A Multidisciplinary Journal, 2012
This article investigates three types of stage-sequential growth mixture models in the structural equation modeling framework for the analysis of multiple-phase longitudinal data. These models can be important tools for situations in which a single-phase growth mixture model produces distorted results and can allow researchers to better understand…
Descriptors: Structural Equation Models, Data Analysis, Research Methodology, Longitudinal Studies
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Taht, Karin; Must, Olev – Educational Research and Evaluation, 2013
We estimated the invariance of educational achievement (EA) and learning attitudes (LA) measures across nations. A multi-group confirmatory factor analysis was used to estimate the invariance of educational achievement and learning attitudes across 55 nations (Programme for International Student Assessment [PISA] 2006 data, N = 354,203). The…
Descriptors: Academic Achievement, Factor Analysis, Factor Structure, Educational Attitudes
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Conger, Dylan – Education and Urban Society, 2010
This article offers new directions in measuring racial isolation in schools. The most widely used measurement approach is to examine the mean on the distribution of school percentage non-White across non-White students (the isolation rate) or the percentage of non-White students in schools with large shares of non-Whites (e.g., 90% or more) at a…
Descriptors: Measurement Techniques, Evaluation Methods, Social Isolation, Disproportionate Representation
Schonfeld, Irvin Sam; Farrell, Edwin – Online Submission, 2010
The chapter examines the ways in which qualitative and quantitative methods support each other in research on occupational stress. Qualitative methods include eliciting from workers unconstrained descriptions of work experiences, careful first-hand observations of the workplace, and participant-observers describing "from the inside" a…
Descriptors: Qualitative Research, Quality of Working Life, Statistical Analysis, Research Methodology
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Schimmack, Ulrich; Schupp, Jurgen; Wagner, Gert G. – Social Indicators Research, 2008
Subjective well-being (SWB) has two components: affective well-being (AWB) and cognitive well-being (CWB). The present study demonstrated that AWB and CWB have are influenced by different factors in a nationally representative sample in Germany (N = 1053). Neuroticism was a stronger predictor of AWB than CWB. Unemployment and regional differences…
Descriptors: Unemployment, Children, Personality Traits, Social Indicators
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Arthur, Michael W.; Briney, John S.; Hawkins, J. David; Abbott, Robert D.; Brooke-Weiss, Blair L.; Catalano, Richard F. – Evaluation and Program Planning, 2007
The Communities That Care Youth Survey measures risk and protective factors shown in prior studies to predict adolescent problem behaviors such as drug use, delinquency, and violence. This paper describes the development and validation of cut points for the risk and protective factor scales in the Communities That Care Youth Survey that…
Descriptors: Drug Use, Test Validity, Adolescents, Evaluation Methods