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Fidalgo, Angel M.; Ferreres, Doris; Muniz, Jose – Journal of Experimental Education, 2004
The aim of this work was to determine, in terms of Type I and Type II error rates, the risks of applying various statistical procedures for evaluating differential item functioning. To this end, the authors carried out a simulation study in which the Mantel-Haenszel and SIBTEST procedures were applied in conjunction. The variables manipulated were…
Descriptors: Test Bias, Sample Size, Statistical Analysis, Predictor Variables
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Sedlmeier, Peter; Kilinc, Berna – Psychological Review, 2004
Should one be more confident when predicting the whole (or an event based on a larger sample) from the part (or an event based on a smaller sample) than when predicting the reverse? The relevant literature on judgment under uncertainty argues that such predictions are symmetrical but that, as an empirical matter, people often fail to appreciate…
Descriptors: Sample Size, Predictive Measurement, Prediction, Geometry
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Justice, Laura M.; Bowles, Ryan P.; Kaderavek, Joan N.; Ukrainetz, Teresa A.; Eisenberg, Sarita L.; Gillam, Ronald B. – American Journal of Speech-Language Pathology, 2006
Purpose: This research was conducted to develop a clinical tool--the Index of Narrative Microstructure (INMIS)--that would parsimoniously account for important microstructural aspects of narrative production for school-age children. The study provides field test age- and grade-based INMIS values to aid clinicians in making normative judgments…
Descriptors: Story Telling, Field Tests, Factor Analysis, Elementary Education
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Beauducel, Andre; Herzberg, Philipp Yorck – Structural Equation Modeling: A Multidisciplinary Journal, 2006
This simulation study compared maximum likelihood (ML) estimation with weighted least squares means and variance adjusted (WLSMV) estimation. The study was based on confirmatory factor analyses with 1, 2, 4, and 8 factors, based on 250, 500, 750, and 1,000 cases, and on 5, 10, 20, and 40 variables with 2, 3, 4, 5, and 6 categories. There was no…
Descriptors: Factor Analysis, Maximum Likelihood Statistics, Classification, Sample Size
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Grouzet, Frederick M. E.; Otis, Nancy; Pelletier, Luc G. – Structural Equation Modeling: A Multidisciplinary Journal, 2006
This study examined the measurement and latent construct invariance of the Academic Motivation Scale (Vallerand, Blais, Brier, & Pelletier, 1989; Vallerand et al., 1992, 1993) across both gender and time. An integrative analytical strategy was used to assess in one set of nested models both longitudinal and cross-gender invariance, and…
Descriptors: Measures (Individuals), Student Motivation, Sex, Time
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Radin, Dean; Nelson, Roger; Dobyns, York; Houtkooper, Joop – Psychological Bulletin, 2006
H. Bosch, F. Steinkamp, and E. Boller's (see record 2006-08436-001) review of the evidence for psychokinesis confirms many of the authors' earlier findings. The authors agree with Bosch et al. that existing studies provide statistical evidence for psychokinesis, that the evidence is generally of high methodological quality, and that effect sizes…
Descriptors: Effect Size, Sample Size, Reader Response, Review (Reexamination)
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Haberman, Shelby J. – Psychometrika, 2006
When a simple random sample of size n is employed to establish a classification rule for prediction of a polytomous variable by an independent variable, the best achievable rate of misclassification is higher than the corresponding best achievable rate if the conditional probability distribution is known for the predicted variable given the…
Descriptors: Bias, Computation, Sample Size, Classification
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Lubke, Gitta; Neale, Michael C. – Multivariate Behavioral Research, 2006
Latent variable models exist with continuous, categorical, or both types of latent variables. The role of latent variables is to account for systematic patterns in the observed responses. This article has two goals: (a) to establish whether, based on observed responses, it can be decided that an underlying latent variable is continuous or…
Descriptors: Sample Size, Maximum Likelihood Statistics, Models, Responses
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What Works Clearinghouse, 2004
Brooks (1999) compared algebra achievement of students enrolled in the intervention group (I CAN Learn[R] classes) to that of students enrolled in the comparison group (traditional classes) at pretest, midyear, and posttest. Brooks found that students in the I CAN Learn[R] classes achieved higher scores in algebra than students in traditional…
Descriptors: Mathematics Teachers, Algebra, Mathematics Instruction, Intervention
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Lagana, Brandon T. – NASPA Journal, 2007
Involvement in student affairs professional development was investigated using McClusky's (1963) Power Load Margin (PLM) theory from the adult education field. The PLM theory is a framework for identifying sources of stress (load) and power in one's life; the amount of power available to handle stress is called margin in life (MIL). This study…
Descriptors: Research Design, Investigations, Professional Development, Student Personnel Services
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Petrocelli, John V. – Teaching of Psychology, 2007
Undergraduate students (N = 47), enrolled in 2 separate psychology research methods classes, evaluated a power analysis lab demonstration and homework assignment. Students attended 1 of 2 lectures that included a basic introduction to power analysis and sample size analysis. One lecture included a demonstration of how to use a computer-based power…
Descriptors: Homework, Undergraduate Students, Research Methodology, Calculators
Slavin, Robert E.; Lake, Cynthia – Society for Research on Educational Effectiveness, 2009
One of the major series of reviews in elementary and secondary education is the Best Evidence Encyclopedia, or the BEE. Up to now, findings for systematic reviews have largely been restricted to the reviews themselves, with few cases in which lessons learned across many reviews using similar methods can be synthesized. The completion of the Best…
Descriptors: Evidence, Direct Instruction, Sample Size, Elementary Secondary Education
Shettle, Carolyn; Cubell, Michele; Hoover, Katylee; Kastberg, David; Legum, Stan; Lyons, Marsha; Perkins, Robert; Rizzo, Lou; Roey, Stephen; Sickles, Diane – US Department of Education, 2008
This technical report documents the procedures used to collect and summarize data from the 2005 High School Transcript Study (HSTS 2005). The transcript studies serve as a barometer for changes in high school graduates' course-taking patterns; these patterns provide information about the rigor of high school curricula followed across the nation.…
Descriptors: Check Lists, High Schools, School Activities, Course Selection (Students)
Empirical Education Inc., 2008
PCI Education sought scientifically based evidence on the effectiveness of the "PCI Reading Program--Level One" for students with severe disabilities. During the 2007-2008 academic year. Empirical Education conducted a randomized control trial (RCT) in two Florida districts, Brevard and Miami-Dade County Public Schools. For this…
Descriptors: Reading Programs, Disabilities, Urban Schools, Public Schools
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Cress, Ulrike – International Journal of Computer-Supported Collaborative Learning, 2008
Per definition, CSCL research deals with the data of individuals nested in groups, and the influence of a specific learning setting on the collaborative process of learning. Most well-established statistical methods are not able to analyze such nested data adequately. This article describes the problems which arise when standard methods are…
Descriptors: Predictor Variables, Statistical Analysis, Research Needs, Educational Research
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