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Blaine, Bruce Evan – Scholarship and Practice of Undergraduate Research, 2019
Reproducibility crises have arisen in psychology and other behavioral sciences, spurring efforts to ensure research findings are credible and replicable. Although reforms are occurring at professional levels in terms of new publication parameters and open science initiatives, the credibility and reproducibility of undergraduate research deserves…
Descriptors: Undergraduate Students, Student Research, Behavioral Science Research, Research Methodology
Bolin, Jocelyn H.; Finch, W. Holmes; Stenger, Rachel – Educational and Psychological Measurement, 2019
Multilevel data are a reality for many disciplines. Currently, although multiple options exist for the treatment of multilevel data, most disciplines strictly adhere to one method for multilevel data regardless of the specific research design circumstances. The purpose of this Monte Carlo simulation study is to compare several methods for the…
Descriptors: Hierarchical Linear Modeling, Computation, Statistical Analysis, Maximum Likelihood Statistics
Xie, Zilong; Reetzke, Rachel; Chandrasekaran, Bharath – Journal of Speech, Language, and Hearing Research, 2019
Purpose: Speech-evoked neurophysiological responses are often collected to answer clinically and theoretically driven questions concerning speech and language processing. Here, we highlight the practical application of machine learning (ML)-based approaches to analyzing speech-evoked neurophysiological responses. Method: Two categories of ML-based…
Descriptors: Speech Language Pathology, Intervention, Communication Problems, Speech Impairments
Cao, Chunhua; Kim, Eun Sook; Chen, Yi-Hsin; Ferron, John; Stark, Stephen – Educational and Psychological Measurement, 2019
In multilevel multiple-indicator multiple-cause (MIMIC) models, covariates can interact at the within level, at the between level, or across levels. This study examines the performance of multilevel MIMIC models in estimating and detecting the interaction effect of two covariates through a simulation and provides an empirical demonstration of…
Descriptors: Hierarchical Linear Modeling, Structural Equation Models, Computation, Identification
Kiranli Güngör, Semra; Aydin, Gizem – European Journal of Educational Research, 2019
This research study aims to evaluate the graduate theses and articles conducted on the concept of instructional leadership over the period between 2002 and 2017 in Turkey by means of methodological and statistical analysis techniques. In the study, which is configured by using the case study design as one of the qualitative research methods, the…
Descriptors: Foreign Countries, Instructional Leadership, Educational Research, Graduate Students
Sinclair, Andrea L., Ed.; Thacker, Arthur, Ed. – Human Resources Research Organization (HumRRO), 2019
California's Commission on Teacher Credentialing (Commission) requires all programs of preliminary multiple and single subject teacher preparation to use a Commission-approved Teaching Performance Assessment (TPA) as one of the program completion requirements for prospective teacher candidates. Three TPA models were approved by the Commission: (1)…
Descriptors: Preservice Teachers, Performance Based Assessment, Models, Credentials
Sun, Min; Kennedy, Alec I.; Loeb, Susanna – Educational Evaluation and Policy Analysis, 2021
School Improvement Grants (SIGs) exemplify a capacity-building investment to spur sustainable changes in America's persistently lowest-performing schools and stimulate the economy. This study examines both short- and longer-term effects of the first two cohorts of SIG schools from four locations across the country. Dynamic…
Descriptors: Longitudinal Studies, Educational Improvement, Grants, Capacity Building
Schweig, Jonathan; McEachin, Andrew; Kuhfeld, Megan; Mariano, Louis T.; Diliberti, Melissa Kay – RAND Corporation, 2021
The novel coronavirus disease 2019 (COVID-19) pandemic has created an unprecedented set of obstacles for schools and exacerbated existing structural inequalities in public education. In spring 2020, as schools went to remote learning formats or closed completely, end-of-year assessment programs ground to a halt. As a result, schools began the…
Descriptors: Student Placement, COVID-19, Pandemics, Student Characteristics
Jonathan Schweig; Andrew McEachin; Megan Kuhfeld; Louis T. Mariano; Melissa Kay Diliberti – Grantee Submission, 2021
The novel coronavirus disease 2019 (COVID-19) pandemic has created an unprecedented set of obstacles for schools and exacerbated existing structural inequalities in public education. In spring 2020, as schools went to remote learning formats or closed completely, end-of-year assessment programs ground to a halt. As a result, schools began the…
Descriptors: Student Placement, COVID-19, Pandemics, Student Characteristics
Thomas, Donna C.; McCabe, Patricia; Ballard, Kirrie J.; Lincoln, Michelle – International Journal of Language & Communication Disorders, 2016
Background: Rapid Syllable Transitions (ReST) treatment uses pseudo-word targets with varying lexical stress to target simultaneously articulation, prosodic accuracy and coarticulatory transitions in childhood apraxia of speech (CAS). The treatment is efficacious for the acquisition of imitated pseudo-words, and generalization of skill to…
Descriptors: Statistical Analysis, Neurological Impairments, Speech Impairments, Syllables
Yamaguchi, Kazuo – Sociological Methods & Research, 2016
This article describes (1) the survey methodological and statistical characteristics of the nonrandomized method for surveying sensitive questions for both cross-sectional and panel survey data and (2) the way to use the incompletely observed variable obtained from this survey method in logistic regression and in loglinear and log-multiplicative…
Descriptors: Data Analysis, Surveys, Statistical Analysis, Regression (Statistics)
Leavy, Aisling; Hourigan, Mairead – Teaching Statistics: An International Journal for Teachers, 2016
We argue that the development of statistical literacy is greatly supported by engaging students in carrying out statistical investigations. We describe the use of driving questions and interesting contexts to motivate two statistical investigations. The PPDAC cycle is use as an organizing framework to support the process statistical investigation.
Descriptors: Statistics, Statistical Analysis, Literacy, Questioning Techniques
Beaujean, A. Alexander – Journal of Psychoeducational Assessment, 2016
One of the ways to increase the reproducibility of research is for authors to provide a sufficient description of the data analytic procedures so that others can replicate the results. The publishers of the Wechsler Intelligence Scale for Children-Fifth Edition (WISC-V) do not follow these guidelines when reporting their confirmatory factor…
Descriptors: Children, Intelligence Tests, Factor Analysis, Replication (Evaluation)
Hung, Yu-Chen; Lin, Chun-Yi; Tsai, Li-Chiun; Lee, Ya-Jung – Journal of Speech, Language, and Hearing Research, 2016
Purpose: Because the Ling six-sound test is based on American English phonemes, it can yield unreliable results when administered to non-English speakers. In this study, we aimed to improve specifically the diagnostic palette for Mandarin Chinese users by developing an adapted version of the Ling six-sound test. Method: To determine the set of…
Descriptors: Mandarin Chinese, Auditory Tests, Acoustics, Statistical Analysis
Qian, Minghui; Hu, Ridong; Chen, Jianwei – EURASIA Journal of Mathematics, Science & Technology Education, 2016
Spatial panel data models have been widely studied and applied in both scientific and social science disciplines, especially in the analysis of spatial influence. In this paper, we consider the spatial dynamic nonparametric Durbin model (SDNDM) with fixed effects, which takes the nonlinear factors into account base on the spatial dynamic panel…
Descriptors: Nonparametric Statistics, Models, Hypothesis Testing, Statistical Analysis

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