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von der Fehr, Ane; Sølberg, Jan; Bruun, Jesper – International Journal of Research & Method in Education, 2018
Social network analysis (SNA) has been used in many educational studies in the past decade, but what these studies have in common is that the populations in question in most cases are defined and known to the researchers studying the networks. Snowball sampling is an SNA methodology most often used to study hidden populations, for example, groups…
Descriptors: Social Networks, Network Analysis, Sampling, Science Education
Robbins, Michael W.; Grimm, Geoffrey; Stecher, Brian; Opfer, V. Darleen – SAGE Open, 2018
We examine a range of options for recruiting teachers into a nationally representative survey panel. Recruitment strategies considered include a telephone-based approach and the use of promised incentives and pre-incentives of varying amounts and forms. Using a randomized experiment, we evaluate the effectiveness of five separate recruitment…
Descriptors: Comparative Analysis, Incentives, Teacher Recruitment, Cost Effectiveness
Adang, Otto M. J. – Sociological Methods & Research, 2018
The article outlines a methodology for systematically observing collective violence (and public order policing in relation to it). Specific attention is given to matters of sampling and measurement and to the way in which observational challenges have been met in comparison with participant observational studies of demonstrations and football…
Descriptors: Observation, Violence, Law Enforcement, Research Methodology
Chan, Wendy – Journal of Educational and Behavioral Statistics, 2018
Policymakers have grown increasingly interested in how experimental results may generalize to a larger population. However, recently developed propensity score-based methods are limited by small sample sizes, where the experimental study is generalized to a population that is at least 20 times larger. This is particularly problematic for methods…
Descriptors: Computation, Generalization, Probability, Sample Size
McNeish, Daniel – Journal of Experimental Education, 2018
Small samples are common in growth models due to financial and logistical difficulties of following people longitudinally. For similar reasons, longitudinal studies often contain missing data. Though full information maximum likelihood (FIML) is popular to accommodate missing data, the limited number of studies in this area have found that FIML…
Descriptors: Growth Models, Sampling, Sample Size, Hierarchical Linear Modeling
Cajka, James; Amer, Safaa; Ridenhour, Jamie; Allpress, Justine – International Journal of Social Research Methodology, 2018
RTI International created a geospatial grid-based sampling methodology that: achieved a probability-based household sample and unbiased estimates; was comparable across countries; used simple frame data available from the in-country census; and was efficient with minimal training to local field staff. The methodology used 1 km[superscript 2]…
Descriptors: Sampling, Developing Nations, Probability, Cross Cultural Studies
Sarkar, Jyotirmoy; Rashid, Mamunur – Educational Research Quarterly, 2017
The standard deviation (SD) of a random sample is defined as the square-root of the sample variance, which is the "mean" squared deviation of the sample observations from the sample mean. Here, we interpret the sample SD as the square-root of twice the mean square of all pairwise half deviations between any two sample observations. This…
Descriptors: Sample Size, Sampling, Visualization, Geometric Concepts
Lee, Daniel Y.; Harring, Jeffrey R.; Stapleton, Laura M. – Journal of Experimental Education, 2019
Respondent attrition is a common problem in national longitudinal panel surveys. To make full use of the data, weights are provided to account for attrition. Weight adjustments are based on sampling design information and data from the base year; information from subsequent waves is typically not utilized. Alternative methods to address bias from…
Descriptors: Longitudinal Studies, Research Methodology, Research Problems, Data Analysis
de Vetten, Arjen; Schoonenboom, Judith; Keijzer, Ronald; van Oers, Bert – Journal of Mathematics Teacher Education, 2019
The ability to reason inferentially is increasingly important in today's society. It is hypothesized here that engaging primary school students in informal statistical reasoning (ISI), defined as making generalizations without the use of formal statistical tests, will help them acquire the foundations for inferential and statistical thinking.…
Descriptors: Preservice Teachers, Mathematics Instruction, Statistics, Inferences
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
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
Luh, Wei-Ming; Guo, Jiin-Huarng – Journal of Experimental Education, 2016
This article discusses the sample size requirements for the interaction, row, and column effects, respectively, by forming a linear contrast for a 2×2 factorial design for fixed-effects heterogeneous analysis of variance. The proposed method uses the Welch t test and its corresponding degrees of freedom to calculate the final sample size in a…
Descriptors: Sample Size, Interaction, Statistical Analysis, Sampling
Vehabovic, Nermin – Multicultural Perspectives, 2020
In this personal perspective piece, I share my own refugee background and experiences, as well as stories about myself in the research context, in juxtaposition with stories about children, youth, and families from refugee backgrounds with whom I interacted as a volunteer tutor and researcher in an afterschool program. Drawing on San Pedro and…
Descriptors: Refugees, Children, Youth, Family (Sociological Unit)
Roitsch, Jane; Horn, Annemarie L. – EBP Briefs (Evidence-based Practice Briefs), 2020
Clinical Question: Should speech-language pathologists (SLPs) perform a formal standardized speech and language assessment and/or an informal speech and language sample to determine communication skills of students with mild ID during postsecondary transition? Method: Literature Review Study Sources: ASHA, ASHA Perspectives, Google Scholar,…
Descriptors: Speech Language Pathology, Allied Health Personnel, Speech Evaluation, Communication Skills
Yig, Katibe Gizem; Sezgin, Sezan – Journal of Educational Technology and Online Learning, 2021
This paper presents an explorative holistic analysis of digitally-constructed gamification processes in mathematics education. The main aim of this study is to identify the key issues, intentions and trends by examining peer-reviewed publications using a combination of social network analysis (SNA), computerized lexical analysis and content…
Descriptors: Mathematics Instruction, Teaching Methods, Educational Technology, Technology Uses in Education

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