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Beasley, T. Mark – Journal of Experimental Education, 2014
Increasing the correlation between the independent variable and the mediator ("a" coefficient) increases the effect size ("ab") for mediation analysis; however, increasing a by definition increases collinearity in mediation models. As a result, the standard error of product tests increase. The variance inflation caused by…
Descriptors: Statistical Analysis, Effect Size, Nonparametric Statistics, Statistical Inference
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Beaujean, A. Alexander – Practical Assessment, Research & Evaluation, 2014
A common question asked by researchers using regression models is, What sample size is needed for my study? While there are formulae to estimate sample sizes, their assumptions are often not met in the collected data. A more realistic approach to sample size determination requires more information such as the model of interest, strength of the…
Descriptors: Regression (Statistics), Sample Size, Sampling, Monte Carlo Methods
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James, David E.; Schraw, Gregory; Kuch, Fred – Assessment & Evaluation in Higher Education, 2015
We present an equation, derived from standard statistical theory, that can be used to estimate sampling margin of error for student evaluations of teaching (SETs). We use the equation to examine the effect of sample size, response rates and sample variability on the estimated sampling margin of error, and present results in four tables that allow…
Descriptors: Student Evaluation of Teacher Performance, Sampling, Validity, Statistical Analysis
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Genvieve, Nasimiyu – Journal of Education and Practice, 2017
There has been a concern about the quality of school teachers being prepared at the university especially in pedagogy. The main objective of the study was to investigate the preparation of teacher-trainees in pedagogy in Kenyan universities.The theoretical framework of the study was based on Shulman's concept of pedagogical content knowledge. The…
Descriptors: Teacher Education, Teaching Methods, Questionnaires, Interviews
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Keller, Bryan – Psychometrika, 2012
Randomization tests are often recommended when parametric assumptions may be violated because they require no distributional or random sampling assumptions in order to be valid. In addition to being exact, a randomization test may also be more powerful than its parametric counterpart. This was demonstrated in a simulation study which examined the…
Descriptors: Statistical Analysis, Nonparametric Statistics, Simulation, Sampling
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Adekunjo, Olalekan Abraham; Adepoju, Samuel Olusegun; Adeola, Anuoluwapo Odebunmi – Educational Research and Reviews, 2015
The study assessed users' information needs and satisfaction in selected seminary libraries in Oyo State, Nigeria. This paper employed the descriptive survey research design, whereby the expost-facto was employed with a sample size of three hundred (300) participants, selected from six seminaries located in Ibadan, Oyo and Ogbomoso, all in Oyo…
Descriptors: Information Needs, Users (Information), Theological Education, Foreign Countries
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Inegbedion, Juliet O.; Adu, Folorunso I.; Ofulue, Christine Y. – Open Praxis, 2016
This paper presents a study conducted by Inegbedion, Adu and Ofulue from the National Open University of Nigeria. The study focused on the quality of access (admission and registration) at NOUN from a student perspective. A survey design was used for the study while a multi-stage sampling technique was used to select the sample size. All the…
Descriptors: Educational Quality, Questionnaires, Sample Size, Open Universities
Wu, Yi-Fang – ProQuest LLC, 2015
Item response theory (IRT) uses a family of statistical models for estimating stable characteristics of items and examinees and defining how these characteristics interact in describing item and test performance. With a focus on the three-parameter logistic IRT (Birnbaum, 1968; Lord, 1980) model, the current study examines the accuracy and…
Descriptors: Item Response Theory, Test Items, Accuracy, Computation
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Tipton, Elizabeth; Pustejovsky, James E. – Society for Research on Educational Effectiveness, 2015
Randomized experiments are commonly used to evaluate the effectiveness of educational interventions. The goal of the present investigation is to develop small-sample corrections for multiple contrast hypothesis tests (i.e., F-tests) such as the omnibus test of meta-regression fit or a test for equality of three or more levels of a categorical…
Descriptors: Randomized Controlled Trials, Sample Size, Effect Size, Hypothesis Testing
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Romero, Sonia J.; Ordoñez, Xavier G.; Ponsoda, Vincente; Revuelta, Javier – Psicologica: International Journal of Methodology and Experimental Psychology, 2014
Cognitive Diagnostic Models (CDMs) aim to provide information about the degree to which individuals have mastered specific attributes that underlie the success of these individuals on test items. The Q-matrix is a key element in the application of CDMs, because contains links item-attributes representing the cognitive structure proposed for solve…
Descriptors: Evaluation Methods, Q Methodology, Matrices, Sampling
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Ugille, Maaike; Moeyaert, Mariola; Beretvas, S. Natasha; Ferron, John M.; Van den Noortgate, Wim – Journal of Experimental Education, 2014
A multilevel meta-analysis can combine the results of several single-subject experimental design studies. However, the estimated effects are biased if the effect sizes are standardized and the number of measurement occasions is small. In this study, the authors investigated 4 approaches to correct for this bias. First, the standardized effect…
Descriptors: Effect Size, Statistical Bias, Sample Size, Regression (Statistics)
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Hills, Thomas T.; Hertwig, Ralph – Psychological Review, 2012
Gonzalez and Dutt (2011) recently reported that trends during sampling, prior to a consequential risky decision, reveal a gradual movement from exploration to exploitation. That is, even when search imposes no immediate costs, people adopt the same pattern manifest in costly search: early exploration followed by later exploitation. From this…
Descriptors: Decision Making, Models, Inferences, Sampling
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Ishak, Noriah Mohd; Abu Bakar, Abu Yazid – World Journal of Education, 2014
Due to statistical analysis, the issue of random sampling is pertinent to any quantitative study. Unlike quantitative study, the elimination of inferential statistical analysis, allows qualitative researchers to be more creative in dealing with sampling issue. Since results from qualitative study cannot be generalized to the bigger population,…
Descriptors: Case Studies, Statistical Analysis, Sampling, Qualitative Research
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Straat, J. Hendrik; van der Ark, L. Andries; Sijtsma, Klaas – Educational and Psychological Measurement, 2014
An automated item selection procedure in Mokken scale analysis partitions a set of items into one or more Mokken scales, if the data allow. Two algorithms are available that pursue the same goal of selecting Mokken scales of maximum length: Mokken's original automated item selection procedure (AISP) and a genetic algorithm (GA). Minimum…
Descriptors: Sampling, Test Items, Effect Size, Scaling
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Higginbottom, Gina M. A.; Pillay, Jennifer J.; Boadu, Nana Y. – Qualitative Report, 2013
Focused ethnographies can have meaningful and useful application in primary care, community, or hospital healthcare practice, and are often used to determine ways to improve care and care processes. They can be pragmatic and efficient ways to capture data on a specific topic of importance to individual clinicians or clinical specialties. While…
Descriptors: Ethnography, Qualitative Research, Research Methodology, Health Services
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