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Ross, Karen; Call-Cummings, Meagan – International Journal of Social Research Methodology, 2019
In this article, we interrogate the concept of methodological 'failures' as they arise during fieldwork, in the process of collecting empirical data. We highlight how the techniques of validity horizon matrices and power analysis can be used as methodological tools to illustrate moments in the fieldwork process where these 'failures' occur and to…
Descriptors: Failure, Data Collection, Research Methodology, Validity
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Thompson, W. Burt – Teaching of Psychology, 2019
When a psychologist announces a new research finding, it is often based on a rejected null hypothesis. However, if that hypothesis is true, the claim is a false alarm. Many students mistakenly believe that the probability of committing a false alarm equals alpha, the criterion for statistical significance, which is typically set at 5%. Instructors…
Descriptors: Statistical Analysis, Hypothesis Testing, Misconceptions, Data Interpretation
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Lin, Xunyi; Li, Hui – International Journal of Behavioral Development, 2019
Parental beliefs about play and learning are part of the "belief-context" of early childhood development and can thus make a key difference for the child. Previous studies have focused on cross-cultural comparisons, and therefore have neglected intra-cultural variations. This study sampled 163 Chinese mothers with children aged two to…
Descriptors: Asians, Mothers, Play, Academic Achievement
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Trafimow, David; Wang, Tonghui; Wang, Cong – Educational and Psychological Measurement, 2019
Two recent publications in "Educational and Psychological Measurement" advocated that researchers consider using the a priori procedure. According to this procedure, the researcher specifies, prior to data collection, how close she wishes her sample mean(s) to be to the corresponding population mean(s), and the desired probability of…
Descriptors: Statistical Distributions, Sample Size, Equations (Mathematics), Statistical Analysis
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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
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Woods, Amelia Mays; Ayers, Suzan F. – Journal of Teaching in Physical Education, 2019
There are several factors that contribute to the shrinking supply of teachers. Fewer individuals are pursuing teaching as a career; in the United States, for example, teacher education enrollments plunged 35% between 2009 and 2014 (Berry & Shields, 2017). In direct relation to the decrease in students entering preservice teaching, fewer…
Descriptors: Physical Education Teachers, Teacher Supply and Demand, Preservice Teacher Education, Teacher Education Programs
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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
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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
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Astivia, Oscar L. Olvera; Zumbo, Bruno D. – Practical Assessment, Research & Evaluation, 2019
Within psychology and the social sciences, Ordinary Least Squares (OLS) regression is one of the most popular techniques for data analysis. In order to ensure the inferences from the use of this method are appropriate, several assumptions must be satisfied, including the one of constant error variance (i.e. homoskedasticity). Most of the training…
Descriptors: Multiple Regression Analysis, Least Squares Statistics, Statistical Analysis, Error of Measurement
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Walters, Glenn D. – International Journal of Social Research Methodology, 2019
Identifying mediators in variable chains as part of a causal mediation analysis can shed light on issues of causation, assessment, and intervention. However, coefficients and effect sizes in a causal mediation analysis are nearly always small. This can lead those less familiar with the approach to reject the results of causal mediation analysis.…
Descriptors: Effect Size, Statistical Analysis, Sampling, Statistical Inference
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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
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Kim, Minjung; Hsu, Hsien-Yuan – Journal of Educational and Behavioral Statistics, 2019
Given the natural hierarchical structure in school-setting data, multilevel modeling (MLM) has been widely employed in education research using a number of different statistical software packages. The purpose of this article is to review a recent feature of Stat-JR, the statistical analysis assistants (SAAs) embedded in Stat-JR (Version 1.0.5),…
Descriptors: Hierarchical Linear Modeling, Statistical Analysis, Computer Software, Computer Software Evaluation
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Mohammed, M. A.; Ibrahim, A. I. N.; Siri, Z.; Noor, N. F. M. – Sociological Methods & Research, 2019
In this article, a numerical method integrated with statistical data simulation technique is introduced to solve a nonlinear system of ordinary differential equations with multiple random variable coefficients. The utilization of Monte Carlo simulation with central divided difference formula of finite difference (FD) method is repeated n times to…
Descriptors: Monte Carlo Methods, Calculus, Sampling, Simulation
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White, Simon R.; Bonnett, Laura J. – Teaching Statistics: An International Journal for Teachers, 2019
The statistical concept of sampling is often given little direct attention, typically reduced to the mantra "take a random sample". This low resource and adaptable activity demonstrates sampling and explores issues that arise due to biased sampling.
Descriptors: Statistical Bias, Sampling, Statistical Analysis, Learning Activities
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Johnson, Michael Lee; Sedory, Stephen A.; Singh, Sarjinder – Sociological Methods & Research, 2019
In this article, alternative randomized response models are proposed, which make use of sum of quantitative scores generated from two decks of cards being used in a survey. The proposed methods are compared to the Odumade and Singh and Singh and Grewal models through a simulation study. It is shown that the modified methods can be used more…
Descriptors: Scores, Surveys, Responses, Models
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