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Hugdahl, Tracy; Huggins, Laura; Shoho, Alan R. – ERS Spectrum, 2001
Compares reading levels and attitudes of first- and second-graders in two reading programs: Success for All and Four Blocks. Finds first-graders in Four Blocks had significantly higher reading levels and attitudes scores than first-graders in Success for All, but finds no significant difference between the programs for second-grade students.…
Descriptors: Academic Achievement, Primary Education, Reading Programs, Statistical Analysis
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Chung, Mi-Kyung – Asia Pacific Education Review, 2000
Examines the tendency for the development of self-regulated learning according to grade level. Sets up three competing causal models of self-regulated learning and then tests validity of each to determine most suitable for South Korean students. Selects model where motivational variables, such as self-efficacy and intrinsic value, indirectly…
Descriptors: Elementary Secondary Education, Foreign Countries, Independent Study, Models
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Munoz, Marco A.; Dossett, Dena – Journal of School Leadership, 2001
Examines the effect of school characteristics and sociodemographic factors on student achievement. Major finding are consistent with earlier studies that found student poverty level the best predictor of academic achievement. Recommends policy changes to address implications of findings. (Contains 32 references.) (PKP)
Descriptors: Academic Achievement, Demography, Elementary Secondary Education, Institutional Characteristics
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Lecuyer, Roger; Berthereau, Sophie; Taieb, Amel Ben; Tardif, Nadia – Infant and Child Development, 2004
Previous research has demonstrated infants' capacity to discriminate between situations in which all the objects successively hidden behind a screen are present, or not, after the removal of the screen. Two types of interpretation have been proposed: counting capacity or object memorization capacity. In the usual paradigm, the missing object in…
Descriptors: Infants, Visual Discrimination, Eye Movements, Experiments
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Powers, Alicia Raby; Struempler, Barbara J.; Guarino, Anthony; Parmer, Sondra M. – Journal of School Health, 2005
This research investigated the effects of a nutrition education program on dietary behavior and nutrition knowledge among elementary school-aged children participating in a Social Cognitive Theory-based nutrition education program. Participants included 1100 second-grade and third-grade students selected by convenience-type sampling from public…
Descriptors: Research Papers (Students), Statistical Analysis, Nutrition, Control Groups
Siegle, Del – Gifted Child Today, 2005
Very young students can begin to use technology to organize and analyze their data in sophisticated ways. The National Center for Education Statistics (2005) reported that 67% of nursery school students and 80% of kindergarten students were using computers in 2003. By the early elementary grades, some of these students are ready to begin using…
Descriptors: Statistical Analysis, Computer Software, Student Projects, Talent
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Hayashi, Kentaro; Kamata, Akihito – Psychometrika, 2005
The asymptotic standard deviation (SD) of the alpha coefficient with standardized variables is derived under normality. The research shows that the SD of the standardized alpha coefficient becomes smaller as the number of examinees and/or items increase. Furthermore, this research shows that the degree of the dependence of the SD on the number of…
Descriptors: Correlation, Statistical Analysis, Measurement Techniques, Simulation
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Raykov, Tenko; du Toit, Stephen H. C. – Structural Equation Modeling: A Multidisciplinary Journal, 2005
A method for estimation of reliability for multiple-component measuring instruments with clustered data is outlined. The approach is applicable with hierarchical designs where individuals are nested within higher order units and exhibit possibly related performance on components of a scale of interest. The procedure is developed within the…
Descriptors: Structural Equation Models, Computation, Measurement Techniques, Test Reliability
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Bernard, Robert M.; Abrami, Philip C.; Lou, Yiping; Borokhovski, Evgueni – Distance Education, 2004
This article is about the quantitative research practices and methodologies that are used in distance education (DE). It begins with an analysis and assessment of a segment of the DE research literature, DE/classroom comparison studies, based on a recently completed meta-analysis of that literature from 1985 to 2002. Overall, the 232 studies…
Descriptors: Statistical Analysis, Distance Education, Research Methodology, Educational Research
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Chick, Helen – Australian Mathematics Teacher, 2004
None of the techniques -- sorting, scatter graphs, grouping, or calculating means -- that are highlighted in this work are particularly sophisticated, and yet their simplicity is often more than adequate for displaying the trends in data or for making comparisons in a convincing way. These are strategies that are easy to introduce to students and…
Descriptors: Data Analysis, Research Methodology, Grade 7, Computation
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Fan, Xitao; Fan, Xiaotao – Journal of Experimental Education, 2005
The authors investigated 2 issues concerning the power of latent growth modeling (LGM) in detecting linear growth: the effect of the number of repeated measurements on LGM's power in detecting linear growth and the comparison between LGM and some other approaches in terms of power for detecting linear growth. A Monte Carlo simulation design was…
Descriptors: Statistical Analysis, Sample Size, Monte Carlo Methods, Structural Equation Models
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Piburn, Michael D.; Reynolds, Stephen J.; McAuliffe, Carla; Leedy, Debra E.; Birk, James P.; Johnson, Julia K. – International Journal of Science Education, 2005
Among the sciences, the practice of geology is especially visual. To assess the role of spatial ability in learning geology, we designed an experiment using: (1) web-based versions of spatial visualization tests, (2) a geospatial test, and (3) multimedia instructional modules built around QuickTime Virtual Reality movies. Students in control and…
Descriptors: Visualization, Statistical Analysis, Experimental Groups, Computer Simulation
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Kowalchuk, Rhonda K.; Keselman, H. J.; Algina, James; Wolfinger, Russell D. – Educational and Psychological Measurement, 2004
One approach to the analysis of repeated measures data allows researchers to model the covariance structure of their data rather than presume a certain structure, as is the case with conventional univariate and multivariate test statistics. This mixed-model approach, available through SAS PROC MIXED, was compared to a Welch-James type statistic.…
Descriptors: Interaction, Sample Size, Statistical Analysis, Evaluation Methods
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Fidalgo, Angel M.; Ferreres, Doris; Muniz, Jose – Educational and Psychological Measurement, 2004
Sample-size restrictions limit the contingency table approaches based on asymptotic distributions, such as the Mantel-Haenszel (MH) procedure, for detecting differential item functioning (DIF) in many practical applications. Within this framework, the present study investigated the power and Type I error performance of empirical and inferential…
Descriptors: Test Bias, Evaluation Methods, Sample Size, Error Patterns
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Lee, Sik-Yum; Song, Xin Yuan; Poon, Wai-Yin – Multivariate Behavioral Research, 2004
Various approaches using the maximum likelihood (ML) option of the LISREL program and products of indicators have been proposed to analyze structural equation models with non-linear latent effects on the basis of Kenny and Judd's formulation. Recently, some methods based on the Bayesian approach and the exact ML approaches have been developed.…
Descriptors: Comparative Analysis, Structural Equation Models, Statistical Analysis, Evaluation Methods
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