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Chapter 4: Studying Recruitment and Retention in PETE--Qualitative and Quantitative Research Methods
Richards, K. Andrew R.; Killian, Chad M.; Graber, Kim C.; Kern, Ben D. – Journal of Teaching in Physical Education, 2019
The preceding chapters of this monograph have served to situate the study of physical education teacher education recruitment and retention within relevant literature and theory. This chapter outlines the sequential explanatory design methods, whereby participants in an online survey were selected using stratified random sampling to participate in…
Descriptors: Physical Education Teachers, Teacher Education Programs, Student Recruitment, Academic Persistence
Sablan, Jenna R. – American Educational Research Journal, 2019
Critical race theory (CRT) has been used in educational literature to emphasize the influence of racism on educational opportunity and the assets of students of color. Quantitative methods appear antithetical to CRT tenets according to some, but this article endeavors to show why this is not the case, based on both historical and contemporary…
Descriptors: Critical Theory, Race, Statistical Analysis, Educational Research
Önen, Emine – Universal Journal of Educational Research, 2019
This simulation study was conducted to compare the performances of Frequentist and Bayesian approaches in the context of power to detect model misspecification in terms of omitted cross-loading in CFA models with respect to the several variables (number of omitted cross-loading, magnitude of main loading, number of factors, number of indicators…
Descriptors: Factor Analysis, Bayesian Statistics, Comparative Analysis, Statistical Analysis
Oleson, Jacob J.; Brown, Grant D.; McCreery, Ryan – Journal of Speech, Language, and Hearing Research, 2019
Purpose: Scientists in the speech, language, and hearing sciences rely on statistical analyses to help reveal complex relationships and patterns in the data collected from their research studies. However, data from studies in the fields of communication sciences and disorders rarely conform to the underlying assumptions of many traditional…
Descriptors: Speech Language Pathology, Data Collection, Interpersonal Communication, Communication Problems
Scott, Dane; Firth, Daniel – Journal of Chemical Education, 2019
Statistical process control (SPC) is used in the chemical industry to monitor manufacturing and laboratory processes to ensure quality and compliance with regulatory requirements. Control charts are a key tool used in this monitoring. Industrial job postings desire experience with SPC. Most undergraduates entering the workforce have no exposure,…
Descriptors: Chemistry, Science Instruction, Scientific Concepts, Science Laboratories
Gagnon, Ryan J.; Garst, Barry A. – Journal of Outdoor Recreation, Education, and Leadership, 2019
To support practitioners' need for reliable and valid measures of the youth camp experience, this study compares the results of two analytic approaches--(1) composite-based paired samples t tests and (2) a latent structural equation model approach--using the Parental Perceptions of Developmental Outcomes (PPDO) scale in a sample of 930 parents of…
Descriptors: Parent Attitudes, Attitude Measures, Resident Camp Programs, Summer Programs
Aksu, Gökhan; Güzeller, Cem Oktay; Eser, Mehmet Taha – International Journal of Assessment Tools in Education, 2019
In this study, it was aimed to compare different normalization methods employed in model developing process via artificial neural networks with different sample sizes. As part of comparison of normalization methods, input variables were set as: work discipline, environmental awareness, instrumental motivation, science self-efficacy, and weekly…
Descriptors: Sample Size, Artificial Intelligence, Classification, Statistical Analysis
Shear, Benjamin R.; Reardon, Sean F. – Stanford Center for Education Policy Analysis, 2019
This paper describes a method for pooling grouped, ordered-categorical data across multiple waves to improve small-sample heteroskedastic ordered probit (HETOP) estimates of latent distributional parameters. We illustrate the method with aggregate proficiency data reporting the number of students in schools or districts scoring in each of a small…
Descriptors: Computation, Scores, Statistical Distributions, Sample Size
Gao, Niu; Lafortune, Julien – Public Policy Institute of California, 2019
In 2010, California adopted the Common Core State Standards (CCSS) for math and English. The new standards are part of a state effort to prepare students for college and careers in the 21st-century global economy and narrow longstanding achievement gaps. The state's implementation is complete, but because districts decide whether and when they…
Descriptors: Common Core State Standards, Program Implementation, Elementary Schools, Middle Schools
Temkin, Deborah; Thompson, Joy A.; Gabriel, Alex; Fulks, Emily; Sun, Sarah; Rodriguez, Yosmary – Phi Delta Kappan, 2021
As states consider non-academic measures of school quality for their accountability plans under the Every Student Succeeds Act, few are choosing to focus on the school climate in which students learn. That's not a surprise, given concerns about the validity and usefulness of existing climate surveys. However, the authors argue, a recent study…
Descriptors: Educational Environment, Data Collection, Evaluation Methods, Elementary Secondary Education
Suk, Youmi; Kim, Jee-Seon; Kang, Hyunseung – Journal of Educational and Behavioral Statistics, 2021
There has been increasing interest in exploring heterogeneous treatment effects using machine learning (ML) methods such as causal forests, Bayesian additive regression trees, and targeted maximum likelihood estimation. However, there is little work on applying these methods to estimate treatment effects in latent classes defined by…
Descriptors: Artificial Intelligence, Statistical Analysis, Statistical Inference, Classification
Bash, Kirstie L.; Howell Smith, Michelle C.; Trantham, Pam S. – Journal of Mixed Methods Research, 2021
The use of advanced quantitative methods within mixed methods research has been investigated in a limited capacity. In particular, hierarchical linear models are a popular approach to account for multilevel data, such as students within schools, but its use and value as the quantitative strand in a mixed methods study remains unknown. This article…
Descriptors: Hierarchical Linear Modeling, Mixed Methods Research, Research Design, Statistical Analysis
Wilson, Melody; Ross, Andrew; Casey, Stephanie – Teaching Statistics: An International Journal for Teachers, 2021
We present a classroom-ready activity for high school or college students involving an investigation of a rich, multivariate data set concerning educational and demographic characteristics of K-12 schools at the state level in the United States. The data set includes educational characteristics such as per-pupil revenue and graduation rate along…
Descriptors: High School Students, College Students, Institutional Characteristics, Elementary Schools
Kemda, Lionel Establet; Murray, Michael – International Journal of Higher Education, 2021
Within students' attrition studies, it is necessary to assess the longitudinal evolution of students within a given course of study, from enrolment to exit from the university through degree completion and academic dropout. Here, the student's academic progress is monitored through the number of courses failed each semester enrolled. The students'…
Descriptors: Academic Failure, Student Behavior, College Students, Student Attrition
Román, Henrik; Sundberg, Daniel; Hirsh, Åsa; Forsberg, Eva; Nilholm, Claes – Review of Education, 2021
A third level of educational research is emerging, in addition to original research and secondary-level reviews. Whereas most third-level research syntheses focus on rather restricted topical areas, this study introduces a comparative and integrative overview of prominent second-order research on teaching, including many different types of reviews…
Descriptors: Educational Research, Teaching (Occupation), Literature Reviews, Research Methodology

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