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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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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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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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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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Roy, Sudipta – Teaching Statistics: An International Journal for Teachers, 2019
The natural experiment proposed in this article extracts three stories from boxes of "100 paper clips". The activity requires students to apply three lessons from inferential statistics, starting with a hypothesis test and including confidence intervals as well as tolerance intervals.
Descriptors: Statistical Inference, Probability, Teaching Methods, Hypothesis Testing
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Block, Per; Stadtfeld, Christoph; Snijders, Tom A. B. – Sociological Methods & Research, 2019
Two approaches for the statistical analysis of social network generation are widely used; the tie-oriented exponential random graph model (ERGM) and the stochastic actor-oriented model (SAOM) or Siena model. While the choice for either model by empirical researchers often seems arbitrary, there are important differences between these models that…
Descriptors: Statistical Analysis, Social Networks, Models, Network Analysis
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Jorrín Abellán, Ivan M. – Georgia Educational Researcher, 2019
The development of educational research designs might be daunting for novice researchers that have to make choices among the plethora of philosophical frameworks, research traditions, and different methods existing in the field. In this article we describe the process followed to formally evaluate Hopscotch, a model and a web-tool created by the…
Descriptors: Research Design, Educational Research, Models, Qualitative Research
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Mertkan, Sefika; Bayrakli, Hatice – Higher Education Research and Development, 2018
This article is about being and becoming a qualitative researcher in Turkey, a context with a distinctive quantitative tradition shaped by the post-positivist paradigm where qualitative research has not yet reached the mature stage it enjoys elsewhere. Exploring the challenges of swimming against the tide unattended and keeping going, it argues…
Descriptors: Power Structure, Researchers, Professional Identity, Qualitative Research
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Reinholz, Daniel L.; Shah, Niral – Journal for Research in Mathematics Education, 2018
Equity in mathematics classroom discourse is a pressing concern, but analyzing issues of equity using observational tools remains a challenge. In this article, we propose equity analytics as a quantitative approach to analyzing aspects of equity and inequity in classrooms. We introduce a classroom observation tool that focuses on relatively…
Descriptors: Teaching Methods, Mathematics Instruction, Equal Education, Statistical Analysis
Fine, Wendy; Lansing, Jiffy; Bacon, Marshaun – Voices in Urban Education, 2018
The Becoming A Man (BAM) program is a school-based group counseling and mentoring program run by Youth Guidance (YG), a community organization that serves children in Chicago schools who are at risk. BAM guides young men to learn, internalize, and practice social cognitive skills, make responsible decisions for their future, and become positive…
Descriptors: Community Organizations, At Risk Students, Community Programs, Statistical Analysis
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Anupam, Aditya; Gupta, Ridhima; Naeemi, Azad; JafariNaimi, Nassim – IEEE Transactions on Education, 2018
Quantum mechanics (QMs) is a foundational subject in many science and engineering fields. It is difficult to teach, however, as it requires a fundamental revision of the assumptions and laws of classical physics and probability. Furthermore, introductory QM courses and texts predominantly focus on the mathematical formulations of the subject and…
Descriptors: Quantum Mechanics, Experiential Learning, Introductory Courses, Educational Games
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Mitchell, Brandon; Ekey, Robert; McCullough, Roy; Reitz, William – Physics Teacher, 2018
Teaching simple circuits and Ohm's law to students in the introductory classroom has been extensively investigated through the common practice of using incandescent light bulbs to help students develop a conceptual foundation before moving on to quantitative analysis. However, the bulb filaments' resistance has a large temperature dependence,…
Descriptors: Statistical Analysis, Models, Equipment, Science Instruction
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Coertjens, Liesje – British Journal of Educational Psychology, 2018
Aim: The main aim of this commentary was to connect the insights from the contributions of the special issue on the intersection between depth and the regulation of strategy use. The seven contributions in this special issue stem from three perspectives: self-regulated learning (SRL), model of domain learning (MDL), or the student approaches to…
Descriptors: Cognitive Processes, Metacognition, Learning Strategies, Independent Study
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