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Zhang, Zhiyong; Liu, Haiyan – Grantee Submission, 2018
Latent change score models (LCSMs) proposed by McArdle (McArdle, 2000, 2009; McArdle & Nesselroade, 1994) offer a powerful tool for longitudinal data analysis. They are becoming increasingly popular in social and behavioral research (e.g., Gerstorf et al., 2007; Ghisletta & Lindenberger, 2005; King et al., 2006; Raz et al., 2008). Although…
Descriptors: Sample Size, Monte Carlo Methods, Data Analysis, Models
Sen, Sedat; Cohen, Allan S. – Measurement: Interdisciplinary Research and Perspectives, 2019
Mixture item response theory (MixIRT) models combine IRT models with latent class model and assume that there exist latent subpopulations in the data. Identification of latent subpopulations via MixIRT models produces more detailed information. Detailed information about the response processing of examinees provides a better understanding of the…
Descriptors: Item Response Theory, Models, Item Analysis, Personality Traits
Kiliç, Ahmet Emre; Yilmaz, Ramazan – Online Submission, 2019
The purpose of this study is to analyze in a descriptive way the published work within the context of lifelong learning in the last decade. For this purpose, the SCI-EXPANDED, SSCI and A&HCI citation indexes in the Web of Science database were used. The following search terms were used as appropriate: "Lifelong Learning" and…
Descriptors: Lifelong Learning, Journal Articles, Periodicals, Research Methodology
Xu, Jie – ProQuest LLC, 2019
Research has shown that cross-sectional mediation analysis cannot accurately reflect a true longitudinal mediated effect. To investigate longitudinal mediated effects, different longitudinal mediation models have been proposed and these models focus on different research questions related to longitudinal mediation. When fitting mediation models to…
Descriptors: Case Studies, Error of Measurement, Longitudinal Studies, Models
Tingir, Seyfullah – ProQuest LLC, 2019
Educators use various statistical techniques to explain relationships between latent and observable variables. One way to model these relationships is to use Bayesian networks as a scoring model. However, adjusting the conditional probability tables (CPT-parameters) to fit a set of observations is still a challenge when using Bayesian networks. A…
Descriptors: Bayesian Statistics, Statistical Analysis, Scoring, Probability
Günay, Nazli Sila Yerliyurt; Elaldi, Senel; Çifçi, Mehtap – South African Journal of Education, 2023
With the study reported on here we aimed to synthesise recent quantitative research to specify the effect of inclusive practices on attitudes via meta-analysis. Since attitudes have an integral role in the performance of inclusion programmes, within the scope of the study, the cumulative findings of experimental studies conducted on attitudes…
Descriptors: Meta Analysis, Educational Practices, Inclusion, Comparative Analysis
Shen, Yaqi – Reading Psychology, 2023
Morphological awareness has been assessed longitudinally for monolinguals and bilinguals to trace the developmental trend. Researchers have found the important role it plays in literacy development including vocabulary growth and reading development. Conclusions about the important role morphological awareness play in literacy development are…
Descriptors: Morphology (Languages), Metalinguistics, Chinese, Longitudinal Studies
Talan, Tarik – International Journal of Technology in Education and Science, 2021
This research aims to examine the experimental studies on the impact of simulation technique on students' academic achievement using the meta-analysis method. The previous studies that could be meta-analyzed were examined based on the criteria set out in this study. Finally, 91 studies that were conducted between 2010-2020 years and met the…
Descriptors: Computer Simulation, Instructional Effectiveness, Teaching Methods, Academic Achievement
Lenhard, Wolfgang; Lenhard, Alexandra – Educational and Psychological Measurement, 2021
The interpretation of psychometric test results is usually based on norm scores. We compared semiparametric continuous norming (SPCN) with conventional norming methods by simulating results for test scales with different item numbers and difficulties via an item response theory approach. Subsequently, we modeled the norm scores based on random…
Descriptors: Test Norms, Scores, Regression (Statistics), Test Items
Bahçeci, Ferhat; Yaratan, Ali Sercan – International Journal of Progressive Education, 2020
Augmented reality is a technology used in almost every stage of our daily life. It has become widespread in several fields such as engineering, healthcare, advertising, defense industry, and entertainment. The use of augmented reality technology that combines virtual and real environments is increasing every day. Augmented reality technology,…
Descriptors: Computer Simulation, Technology Integration, Educational Technology, Educational Research
Uslu, Rukiye; Baglama, Basak – Journal of Educational Psychology - Propositos y Representaciones, 2020
Positive behavioral support is an approach that uses the principles of applied behavior analysis and system changes to improve individuals' quality of life and reduce problem behaviors. In positive behavior support, it is aimed to determine the functions of the problem behaviors of the child and to gain appropriate behaviors that meet the same…
Descriptors: Positive Behavior Supports, Educational Trends, Bibliometrics, Educational Research
Bramley, Tom – Research Matters, 2020
The aim of this study was to compare, by simulation, the accuracy of mapping a cut-score from one test to another by expert judgement (using the Angoff method) versus the accuracy with a small-sample equating method (chained linear equating). As expected, the standard-setting method resulted in more accurate equating when we assumed a higher level…
Descriptors: Cutting Scores, Standard Setting (Scoring), Equated Scores, Accuracy
Barnow, Burt S.; Greenberg, David H. – American Journal of Evaluation, 2020
This paper reviews the use of multiple trials, defined as multiple sites or multiple arms in a single evaluation and replications, in evaluating social programs. After defining key terms, the paper discusses the rationales for conducting multiple trials, which include increasing sample size to increase statistical power; identifying the most…
Descriptors: Evaluation, Randomized Controlled Trials, Experiments, Replication (Evaluation)
Wolf, Rebecca; Morrison, Jennifer; Inns, Amanda; Slavin, Robert; Risman, Kelsey – Journal of Research on Educational Effectiveness, 2020
Rigorous evidence of program effectiveness has become increasingly important with the 2015 passage of the Every Student Succeeds Act (ESSA). One question that has not yet been fully explored is whether program evaluations carried out or commissioned by developers produce larger effect sizes than evaluations conducted by independent third parties.…
Descriptors: Program Evaluation, Program Effectiveness, Effect Size, Sample Size
Batanero, Carmen; Begué, Nuria; Borovcnik, Manfred; Gea, María M. – Statistics Education Research Journal, 2020
In Spain, curricular guidelines as well as the university-entrance tests for social-science high-school students (17-18 years old) include sampling distributions. To analyse the understanding of this concept we investigated a sample of 234 students. We administered a questionnaire to them and ask half for justifications of their answers. The…
Descriptors: High School Students, Adolescents, Statistics Education, Sampling

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