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Showing 1 to 15 of 16 results Save | Export
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Martin, Andrew J.; Yu, Kai; Papworth, Brad; Ginns, Paul; Collie, Rebecca J. – Journal of Psychoeducational Assessment, 2015
This study explored motivation and engagement among North American (the United States and Canada; n = 1,540), U.K. (n = 1,558), Australian (n = 2,283), and Chinese (n = 3,753) secondary school students. Motivation and engagement were assessed via students' responses to the Motivation and Engagement Scale-High School (MES-HS). Confirmatory factor…
Descriptors: Foreign Countries, Motivation, Learner Engagement, Secondary School Students
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Breton, Theodore R. – Economics of Education Review, 2011
This paper challenges Hanushek and Woessmann's (2008) contention that the quality and not the quantity of schooling determines a nation's rate of economic growth. I first show that their statistical analysis is flawed. I then show that when a nation's average test scores and average schooling attainment are included in a national income model,…
Descriptors: Economic Progress, Income, Statistical Significance, Educational Quality
Webster-Trotman, Shana P. – ProQuest LLC, 2010
In 2008, 33.7 million Americans teleworked from home. The Telework Enhancement Act (S. 707) and the Telework Improvements Act (H.R. 1722) of 2009 were designed to increase the number of teleworkers. The research problem addressed was the lack of understanding of factors that influence home-based teleworkers' job satisfaction. Job dissatisfaction…
Descriptors: Research Problems, Teleworking, Job Satisfaction, Interpersonal Relationship
Reardon, Sean F. – Society for Research on Educational Effectiveness, 2010
Instrumental variable estimators hold the promise of enabling researchers to estimate the effects of educational treatments that are not (or cannot be) randomly assigned but that may be affected by randomly assigned interventions. Examples of the use of instrumental variables in such cases are increasingly common in educational and social science…
Descriptors: Social Science Research, Least Squares Statistics, Computation, Correlation
Victor Snipes Swaim – ProQuest LLC, 2009
Numerous procedures have been suggested for determining the number of factors to retain in factor analysis. However, previous studies have focused on comparing methods using normal data sets. This study had two phases. The first phase explored the Kaiser method, Scree test, Bartlett's chi-square test, Minimum Average Partial (1976&2000),…
Descriptors: Factor Analysis, Factor Structure, Maximum Likelihood Statistics, Evaluation Methods
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Dockray, Samantha; Grant, Nina; Stone, Arthur A.; Kahneman, Daniel; Wardle, Jane; Steptoe, Andrew – Social Indicators Research, 2010
Measurement of affective states in everyday life is of fundamental importance in many types of quality of life, health, and psychological research. Ecological momentary assessment (EMA) is the recognized method of choice, but the respondent burden can be high. The day reconstruction method (DRM) was developed by Kahneman and colleagues ("Science,"…
Descriptors: Employed Women, Quality of Life, Evaluation Methods, Psychological Patterns
Boruch, Robert F. – 1976
This document discusses social survey research in which the need for identification of respondents may bring social research into conflict with the law and social custom. The paper deals with two features of the conflict--the products of such research, and the way in which privacy of the respondent can be assured regardless of the product. The…
Descriptors: Confidentiality, Correlation, Data Analysis, Evaluation Methods
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Schulte, Ann C.; Easton, Julia E.; Parker, Justin – School Psychology Review, 2009
Documenting treatment integrity is an important issue in research and practice in any discipline concerned with prevention and intervention. However, consensus concerning the dimensions of treatment integrity and how they should be measured has yet to emerge. Advances from three areas in which significant treatment integrity work has taken…
Descriptors: Substance Abuse, Prevention, Outcomes of Treatment, School Psychology
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Wang, Chih; Layne, Benjamin H. – Journal of Education for Library and Information Science, 1987
Describes the methodology of White's survey of the perceived quality of library education programs, and examines the validity of using the results to rank library schools. The correlation between perception rankings and number of graduates per school are presented and discussed as a possible biasing factor in White's results. (CLB)
Descriptors: Correlation, Educational Quality, Evaluation Methods, Library Schools
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Loo, Robert – Perceptual and Motor Skills, 1983
In examining considerations in determining sample sizes for factor analyses, attention was given to the effects of outliers; the standard error of correlations, and their effect on factor structure; sample heterogeneity; and the misuse of rules of thumb for sample sizes. (Author)
Descriptors: Correlation, Error of Measurement, Evaluation Methods, Factor Analysis
Valentine, Jeffrey C.; Hirschy, Amy S.; Bremer, Christine D.; Novillo, Walter; Castellano, Marisa; Banister, Aaron – National Research Center for Career and Technical Education, 2009
This paper focuses on transition programs for youth to postsecondary education, broadly considered. It addresses the following questions: (1) What models or programs of transition exist? (2) On what basis can we say one transition program is more effective than another? In other words, how is successful transition defined? (3) How are…
Descriptors: Quasiexperimental Design, Program Evaluation, Disadvantaged Youth, Public Policy
O'Connor, Edward F., Jr. – 1970
The problem of the comparability of change scores is investigated. Change quotients and residual change scores are evaluated as alternative approaches and methods for estimating the true change and true score residual, the reliability of change scores and residuals, and procedures for constructing confidence intervals for residuals are explored.…
Descriptors: Comparative Analysis, Correlation, Equated Scores, Evaluation Methods
Poynor, Hugh – 1976
The degree to which the chosen units of analysis are likely to produce spurious findings in staged combinations of multiple linear regression procedures are examined. The effects of grouping variables (e.g., classroom, school, and school district) on Procedures such as Coleman's semipartial regression and Mayeske's commonalities, in light of…
Descriptors: Analysis of Variance, Correlation, Data Analysis, Educational Research
Magidson, Jay; Sorbom, Dag – 1980
Evaluations of social programs based upon quasi-experimental designs are typically plagued by problems of nonequivalence between the experimental and comparison group prior to the experiment. In such settings it is extremely difficult, if not impossible, to isolate the effects of the program from the confounding effects associated with the…
Descriptors: Control Groups, Correlation, Evaluation Methods, Experimental Groups
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Newsom, Jason T.; Prigerson, Holly G.; Schulz, Richard; Reynolds, Charles F., III – International Journal of Aging and Human Development, 2003
Many topics in aging research address questions about group differences in prediction. Such questions can be viewed in terms of interaction or moderator effects, and use of appropriate methods to test these hypotheses are necessary to arrive at accurate conclusions about age differences. This article discusses the conceptual, methodological, and…
Descriptors: Age Differences, Depression (Psychology), Multiple Regression Analysis, Hypothesis Testing
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