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Evermann, Joerg – Structural Equation Modeling: A Multidisciplinary Journal, 2010
Multiple-group analysis in covariance-based structural equation modeling (SEM) is an important technique to ensure the invariance of latent construct measurements and the validity of theoretical models across different subpopulations. However, not all SEM software packages provide multiple-group analysis capabilities. The sem package for the R…
Descriptors: Structural Equation Models, Computer Software, Sample Size
Ozturk, Elif – Online Submission, 2012
The present paper aims to review two motivations to conduct "what if" analyses using Excel and "R" to understand the statistical significance tests through the sample size context. "What if" analyses can be used to teach students what statistical significance tests really do and in applied research either prospectively to estimate what sample size…
Descriptors: Sample Size, Statistical Significance, Spreadsheets, Research Methodology
Cheema, Jehanzeb – ProQuest LLC, 2012
This study looked at the effect of a number of factors such as the choice of analytical method, the handling method for missing data, sample size, and proportion of missing data, in order to evaluate the effect of missing data treatment on accuracy of estimation. In order to accomplish this a methodological approach involving simulated data was…
Descriptors: Educational Research, Educational Researchers, Statistical Analysis, Sample Size
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Wall, Melanie M.; Guo, Jia; Amemiya, Yasuo – Multivariate Behavioral Research, 2012
Mixture factor analysis is examined as a means of flexibly estimating nonnormally distributed continuous latent factors in the presence of both continuous and dichotomous observed variables. A simulation study compares mixture factor analysis with normal maximum likelihood (ML) latent factor modeling. Different results emerge for continuous versus…
Descriptors: Sample Size, Simulation, Form Classes (Languages), Diseases
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Watson, Jane; Chance, Beth – Australian Senior Mathematics Journal, 2012
Formal inference, which makes theoretical assumptions about distributions and applies hypothesis testing procedures with null and alternative hypotheses, is notoriously difficult for tertiary students to master. The debate about whether this content should appear in Years 11 and 12 of the "Australian Curriculum: Mathematics" has gone on…
Descriptors: Foreign Countries, Research Methodology, Sampling, Statistical Inference
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Huang, Tsai-Wei – Educational Technology & Society, 2012
The study compared the aberrance detection powers of the BW person-fit indices with other group-based indices (SCI, MCI, NCI, and Wc&Bs) and item response theory based (IRT-based) indices (OUTFITz, INFITz, ECI2z, ECI4z, and lz). Four kinds of comparative conditions, including content category (CC), types of aberrance (AT), severity of…
Descriptors: Item Response Theory, Comparative Analysis, Effect Size, Probability
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Yew, Elaine H. J.; Schmidt, Henk G. – Instructional Science: An International Journal of the Learning Sciences, 2012
This study aimed to provide an account of how learning takes place in problem-based learning (PBL), and to identify the relationships between the learning-oriented activities of students with their learning outcomes. First, the verbal interactions and computer resources studied by nine students for an entire PBL cycle were recorded. The relevant…
Descriptors: Verbal Communication, Structural Equation Models, Problem Based Learning, Teaching Methods
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Sharma, Umesh; Loreman, Tim; Forlin, Chris – Journal of Research in Special Educational Needs, 2012
The purpose of this study was to develop an instrument to measure perceived teacher efficacy to teach in inclusive classrooms. An 18-item scale was developed on a sample of 607 pre-service teachers selected from four countries (Canada, Australia, Hong Kong and India). Factor analysis of responses from the sample revealed three factors: efficacy in…
Descriptors: Teacher Effectiveness, Self Efficacy, Reliability, Measures (Individuals)
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Pan, Yingqiu; Gauvain, Mary – Learning and Individual Differences, 2012
This study examined change in Chinese students' autonomous learning motivation in the first three years of college and how this change is accounted for by intra- and inter-individual variables. The sample included 633 (328 female) college freshmen. Results showed that students' autonomous learning motivation decreased over years in college.…
Descriptors: College Freshmen, Learning Motivation, Predictor Variables, Longitudinal Studies
Puhan, Gautam – Educational Testing Service, 2011
The study evaluated the effectiveness of log-linear presmoothing (Holland & Thayer, 1987) on the accuracy of small sample chained equipercentile equatings under two conditions (i.e., using small samples that differed randomly in ability from the target population "versus" using small samples that were distinctly different from the…
Descriptors: Equated Scores, Data Analysis, Accuracy, Sample Size
Liu, Qian – ProQuest LLC, 2011
For this dissertation, four item purification procedures were implemented onto the generalized linear mixed model for differential item functioning (DIF) analysis, and the performance of these item purification procedures was investigated through a series of simulations. Among the four procedures, forward and generalized linear mixed model (GLMM)…
Descriptors: Test Bias, Test Items, Statistical Analysis, Models
Park, Sangwook – ProQuest LLC, 2011
Many studies have been conducted to evaluate the performance of DIF detection methods, when two groups have different ability distributions. Such studies typically have demonstrated factors that are associated with inflation of Type I error rates in DIF detection, such as mean ability differences. However, no study has examined how the direction…
Descriptors: Test Bias, Regression (Statistics), Sample Size, Simulation
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Turner, Heather A.; Finkelhor, David; Hamby, Sherry L.; Shattuck, Anne; Ormrod, Richard K. – Journal of Youth and Adolescence, 2011
Much of the existing research on the prevalence and consequences of peer victimization focuses on "bullying" at school, often omitting from consideration non-bullying types of peer victimization as well as events that occur outside of school. The purpose of this study was to examine past-year exposure to peer-perpetrated victimization,…
Descriptors: Bullying, Family Structure, Victims of Crime, Sample Size
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Puhan, Gautam – Journal of Educational Measurement, 2011
The impact of log-linear presmoothing on the accuracy of small sample chained equipercentile equating was evaluated under two conditions. In the first condition the small samples differed randomly in ability from the target population. In the second condition the small samples were systematically different from the target population. Results…
Descriptors: Equated Scores, Data Analysis, Sample Size, Accuracy
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Doyle, William R. – Economics of Education Review, 2011
Several studies have reported a positive impact of increased academic momentum on transfer from community colleges to four-year institutions. This result may be due to selection bias. Using data from the Beginning Postsecondary Students dataset, I test whether taking more credits in the first year has an impact on transfer rates among bachelor's…
Descriptors: Community Colleges, Credits, Higher Education, Sample Size
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