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McNeish, Daniel; Harring, Jeffrey R. – Educational and Psychological Measurement, 2017
To date, small sample problems with latent growth models (LGMs) have not received the amount of attention in the literature as related mixed-effect models (MEMs). Although many models can be interchangeably framed as a LGM or a MEM, LGMs uniquely provide criteria to assess global data-model fit. However, previous studies have demonstrated poor…
Descriptors: Growth Models, Goodness of Fit, Error Correction, Sampling
Chen, Ping – Journal of Educational and Behavioral Statistics, 2017
Calibration of new items online has been an important topic in item replenishment for multidimensional computerized adaptive testing (MCAT). Several online calibration methods have been proposed for MCAT, such as multidimensional "one expectation-maximization (EM) cycle" (M-OEM) and multidimensional "multiple EM cycles"…
Descriptors: Test Items, Item Response Theory, Test Construction, Adaptive Testing
Braham, Hana Manor; Ben-Zvi, Dani – Statistics Education Research Journal, 2017
A fundamental aspect of statistical inference is representation of real-world data using statistical models. This article analyzes students' articulations of statistical models and modeling during their first steps in making informal statistical inferences. An integrated modeling approach (IMA) was designed and implemented to help students…
Descriptors: Foreign Countries, Elementary School Students, Statistical Inference, Mathematical Models
Karaburk, Hasan – ProQuest LLC, 2017
The purpose of this study was to explore the relationships between character education and school climate based on the lived experiences and beliefs of teachers. The research was conducted in a public middle school to explore understandings and beliefs of teachers about character education and its perceived impact on school climate. Social…
Descriptors: Correlation, Values Education, Educational Environment, Interpersonal Competence
Li, Zhushan – Journal of Educational Measurement, 2014
Logistic regression is a popular method for detecting uniform and nonuniform differential item functioning (DIF) effects. Theoretical formulas for the power and sample size calculations are derived for likelihood ratio tests and Wald tests based on the asymptotic distribution of the maximum likelihood estimators for the logistic regression model.…
Descriptors: Test Bias, Sample Size, Statistical Analysis, Regression (Statistics)
Moses, Tim – Educational and Psychological Measurement, 2014
In this study, smoothing and scaling approaches are compared for estimating subscore-to-composite scaling results involving composites computed as rounded and weighted combinations of subscores. The considered smoothing and scaling approaches included those based on raw data, on smoothing the bivariate distribution of the subscores, on smoothing…
Descriptors: Weighted Scores, Scaling, Data Analysis, Comparative Analysis
Liu, Xiaofeng Steven; Loudermilk, Brandon; Simpson, Thomas – Measurement in Physical Education and Exercise Science, 2014
Sample size can be chosen to achieve a specified width in a confidence interval. The probability of obtaining a narrow width given that the confidence interval includes the population parameter is defined as the power of the confidence interval, a concept unfamiliar to many practitioners. This article shows how to utilize the Statistical Analysis…
Descriptors: Sample Size, Statistical Analysis, Confidence Testing, Intervals
Csibra, Gergely; Hernik, Mikolaj; Mascaro, Olivier; Tatone, Denis; Lengyel, Máté – Developmental Psychology, 2016
Looking times (LTs) are frequently measured in empirical research on infant cognition. We analyzed the statistical distribution of LTs across participants to develop recommendations for their treatment in infancy research. Our analyses focused on a common within-subject experimental design, in which longer looking to novel or unexpected stimuli is…
Descriptors: Eye Movements, Time, Statistical Distributions, Infants
Warne, Russell T. – Online Submission, 2016
Recently Kim (2016) published a meta-analysis on the effects of enrichment programs for gifted students. She found that these programs produced substantial effects for academic achievement (g = 0.96) and socioemotional outcomes (g = 0.55). However, given current theory and empirical research these estimates of the benefits of enrichment programs…
Descriptors: Enrichment Activities, Program Effectiveness, Bias, Accuracy
Miller, Jessie L.; Weiss, Lawrence G.; Beal, A. Lynne; Saklofske, Donald H.; Zhu, Jianjun; Holdnack, James A. – Journal of Psychoeducational Assessment, 2015
It is well established that Canadians produce higher raw scores than their U.S. counterparts on intellectual assessments. As a result of these differences in ability along with smaller variability in the population's intellectual performance, Canadian normative data will yield lower standard scores for most raw score points compared to U.S. norms.…
Descriptors: Foreign Countries, Intelligence Tests, Test Norms, Raw Scores
Mikum, Siriporn; Suksakulchai, Surachai; Chaisanit, Settachai; Murphy, Elizabeth – Education and Information Technologies, 2018
Social media (SM) support new approaches to learning that rely on voluntary, peer-to-peer communication using devices and software provided and managed by students rather than on institutional course management systems. We present one case of such an approach with first-year university students (n = 86) in Thailand using SM for asking and…
Descriptors: Social Media, College Freshmen, Programming, Student Participation
Paul Siciliano; Bethany Hornbeck; Sarah Hanks; Summer Kuhn; Alicia Zbehlik; Ann L. Chester – Journal of STEM Outreach, 2018
This paper explores the dynamics of a research partnership between a practicing clinician/research and 34 West Virginia high school students participating in a precollege STEM intervention program. The collaboration provided a more diverse study sample to the clinician for examining attitudes about knee osteoarthritis in adults over 40. It…
Descriptors: Partnerships in Education, Sample Size, Experiential Learning, STEM Education
Guest, Greg; Namey, Emily; McKenna, Kevin – Field Methods, 2017
Few empirical studies exist to guide researchers in determining the number of focus groups necessary for a research study. The analyses described here provide foundational evidence to help researchers in this regard. We conducted a thematic analysis of 40 focus groups on health-seeking behaviors of African American men in Durham, North Carolina.…
Descriptors: Focus Groups, Sample Size, Evidence Based Practice, Thematic Approach
Kelcey, Ben; Spybrook, Jessaca; Phelps, Geoffrey; Jones, Nathan; Zhang, Jiaqi – Journal of Experimental Education, 2017
We develop a theoretical and empirical basis for the design of teacher professional development studies. We build on previous work by (a) developing estimates of intraclass correlation coefficients for teacher outcomes using two- and three-level data structures, (b) developing estimates of the variance explained by covariates, and (c) modifying…
Descriptors: Faculty Development, Research Design, Teacher Effectiveness, Correlation
Yuan, Ke-Hai; Zhang, Zhiyong; Zhao, Yanyun – Grantee Submission, 2017
The normal-distribution-based likelihood ratio statistic T[subscript ml] = nF[subscript ml] is widely used for power analysis in structural Equation modeling (SEM). In such an analysis, power and sample size are computed by assuming that T[subscript ml] follows a central chi-square distribution under H[subscript 0] and a noncentral chi-square…
Descriptors: Statistical Analysis, Evaluation Methods, Structural Equation Models, Reliability

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