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Langan, Dean; Higgins, Julian P. T.; Simmonds, Mark – Research Synthesis Methods, 2015
Heterogeneity in meta-analysis is most commonly estimated using a moment-based approach described by DerSimonian and Laird. However, this method has been shown to produce biased estimates. Alternative methods to estimate heterogeneity include the restricted maximum likelihood approach and those proposed by Paule and Mandel, Sidik and Jonkman, and…
Descriptors: Meta Analysis, Comparative Analysis, Maximum Likelihood Statistics, Probability
Su, Shu-Ching; Sedory, Stephen A.; Singh, Sarjinder – Sociological Methods & Research, 2015
In this article, we adjust the Kuk randomized response model for collecting information on a sensitive characteristic for increased protection and efficiency by making use of forced "yes" and forced "no" responses. We first describe Kuk's model and then the proposed adjustment to Kuk's model. Next, by means of a simulation…
Descriptors: Data Collection, Models, Responses, Efficiency
Green, Samuel B.; Thompson, Marilyn S.; Levy, Roy; Lo, Wen-Juo – Educational and Psychological Measurement, 2015
Traditional parallel analysis (T-PA) estimates the number of factors by sequentially comparing sample eigenvalues with eigenvalues for randomly generated data. Revised parallel analysis (R-PA) sequentially compares the "k"th eigenvalue for sample data to the "k"th eigenvalue for generated data sets, conditioned on"k"-…
Descriptors: Factor Analysis, Error of Measurement, Accuracy, Hypothesis Testing
Bart, William M.; Hokanson, Brad; Can, Iclal – Educational Sciences: Theory and Practice, 2017
This study investigated the factorial structure of the Torrance Tests of Creative Thinking (TTCT) Figural Form A with an aim to find out whether the two-factor structure of creative thinking established by Kim and Kim, Cramond, and Bandalos holds true for the older participants. Data were gathered from 996 8th grade students and 748 11th grade…
Descriptors: Creative Thinking, Creativity Tests, Factor Structure, Factor Analysis
Kainulainen, Mikko; McMullen, Jake; Lehtinen, Erno – Cognition and Instruction, 2017
Difficulties with rational numbers have been explained by a natural number bias, where concepts of natural numbers are inappropriately applied to rational numbers. Overcoming this difficulty may require a radical restructuring of previous knowledge. In order to capture this development, we examined third- to fifth-grade students' understanding of…
Descriptors: Numbers, Foreign Countries, Grade 3, Grade 4
Peach, Hannah; Gaultney, Jane F. – Journal of American College Health, 2017
Objective: Using a 4-phase study design, the present study developed and tested the Charlotte Attitudes Towards Sleep (CATS) Scale, a measurement tool for assessing sleep attitudes in college students. Participants: Participants were 706 undergraduate students recruited at a southeastern university and on a national recruitment Web site between…
Descriptors: Sleep, Attitude Measures, Student Attitudes, Undergraduate Students
Keijsers, Loes – International Journal of Behavioral Development, 2016
This article aims to provide a critical analysis of how much we know about the effectiveness of parental monitoring in preventing adolescent delinquency. First, it describes the historical developments in parental monitoring research. Second, it explains why it is uncertain whether causal inferences can be drawn from contemporary research findings…
Descriptors: Adolescents, Behavior Problems, Child Rearing, Delinquency
Pfaffel, Andreas; Schober, Barbara; Spiel, Christiane – Practical Assessment, Research & Evaluation, 2016
A common methodological problem in the evaluation of the predictive validity of selection methods, e.g. in educational and employment selection, is that the correlation between predictor and criterion is biased. Thorndike's (1949) formulas are commonly used to correct for this biased correlation. An alternative approach is to view the selection…
Descriptors: Comparative Analysis, Correlation, Statistical Bias, Maximum Likelihood Statistics
Ren, Chunfeng; Shin, Yongyun – Grantee Submission, 2016
In this paper, we analyze a two-level latent variable model for longitudinal data from the National Growth of Health Study where surrogate outcomes or biomarkers and covariates are subject to missingness at any of the levels. A conventional method for efficient handling of missing data is to reexpress the desired model as a joint distribution of…
Descriptors: Longitudinal Studies, Statistical Analysis, Data, Maximum Likelihood Statistics
Knight, George P.; Mazza, Gina L.; Carlo, Gustavo – Developmental Psychology, 2018
We examined how the development of familism values from 5th to 10th grade relates to 12th-grade prosocial tendencies (after controlling for 10th-grade prosocial tendencies) using a stratified random sample of 749 Mexican American adolescents (M = 10.42 years of age at 5th grade; 48.9% girls) from 35 culturally and economically diverse…
Descriptors: Family Relationship, Mexican Americans, Adolescents, Prosocial Behavior
Bulut, Okan; Quo, Qi; Gierl, Mark J. – Large-scale Assessments in Education, 2017
Position effects may occur in both paper--pencil tests and computerized assessments when examinees respond to the same test items located in different positions on the test. To examine position effects in large-scale assessments, previous studies often used multilevel item response models within the generalized linear mixed modeling framework.…
Descriptors: Structural Equation Models, Educational Assessment, Measurement, Test Items
Ramsay, James O.; Wiberg, Marie – Journal of Educational and Behavioral Statistics, 2017
This article promotes the use of modern test theory in testing situations where sum scores for binary responses are now used. It directly compares the efficiencies and biases of classical and modern test analyses and finds an improvement in the root mean squared error of ability estimates of about 5% for two designed multiple-choice tests and…
Descriptors: Scoring, Test Theory, Computation, Maximum Likelihood Statistics
Popoola, Ifeoluwa; Garner, Bart; Ammeter, Anthony; Krey, Nina; Beu Ammeter, Danielle; Schafer, Stuart – Journal of Education for Business, 2017
Extant research on academic cheating primarily focuses on the impact of honor codes on academic cheating. However, the influence of ethics institutionalization is curiously missing in past research. The authors developed and validated a structural equations model in the R programming language to examine the impact of formal (explicit) and informal…
Descriptors: Ethics, Institutional Characteristics, Cheating, Academic Achievement
Watts, Logan L.; Steele, Logan M.; Song, Hairong – Creativity Research Journal, 2017
Prior studies have demonstrated inconsistent findings with regard to the relationship between need for cognition and creativity. In our study, measurement issues were explored as a potential source of these inconsistencies. Structural equation modeling techniques were used to examine the factor structure underlying the 18-item need for cognition…
Descriptors: Creativity, Creative Thinking, Problem Solving, Structural Equation Models
Jin, Ying; Eason, Hershel – Journal of Educational Issues, 2016
The effects of mean ability difference (MAD) and short tests on the performance of various DIF methods have been studied extensively in previous simulation studies. Their effects, however, have not been studied under multilevel data structure. MAD was frequently observed in large-scale cross-country comparison studies where the primary sampling…
Descriptors: Test Bias, Simulation, Hierarchical Linear Modeling, Comparative Analysis

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