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Full-Text Articles in Quantitative Psychology
Evaluation Of Modern Missing Data Handling Methods For Coefficient Alpha, Katerina Matysova
Evaluation Of Modern Missing Data Handling Methods For Coefficient Alpha, Katerina Matysova
College of Education and Human Sciences: Dissertations, Theses, and Student Research
When assessing a certain characteristic or trait using a multiple item measure, quality of that measure can be assessed by examining the reliability. To avoid multiple time points, reliability can be represented by internal consistency, which is most commonly calculated using Cronbach’s coefficient alpha. Almost every time human participants are involved in research, there is missing data involved. Missing data means that even though complete data were expected to be collected, some data are missing. Missing data can follow different patterns as well as be the result of different mechanisms. One traditional way to deal with missing data is listwise …
The Reliability And Validity Of The Thin Slice Technique: Observational Research On Video Recorded Medical Interactions, Tanina Suzanne Foster
The Reliability And Validity Of The Thin Slice Technique: Observational Research On Video Recorded Medical Interactions, Tanina Suzanne Foster
Wayne State University Dissertations
The Reliability and Validity of the Thin Slice Technique: Observational Research on Video Recorded Medical Interactions
Introduction: Observational research using the thin slice technique has been routinely incorporated in observational research methods, however there is limited evidence supporting use of this technique compared to full interaction coding. The purpose of this study was to determine if this technique could be reliability coded, if ratings are consistent between the first, second and third slice, and if they are indeed representative of full interactions.
Methods: Three 30-second thin slices were sampled from the beginning, middle and end of a full-length video-recorded …
Using Above-Level Testing To Track Growth In Academic Achievement In Gifted Students, Russell Warne
Using Above-Level Testing To Track Growth In Academic Achievement In Gifted Students, Russell Warne
Russell T Warne
Above-level testing is the practice of administering aptitude or academic achievement tests that are designed for typical students in higher grades or older age-groups to gifted or high-achieving students. Although widely accepted in gifted education, above-level testing has not been subject to careful psychometric scrutiny. In this study, I examine reliability data, growth trajectories, distributions, and group differences of above-level test scores obtained from the Iowa Tests of Basic Skills and Iowa Tests of Educational Development. Two hundred twenty-four middle school students participated in this study. All participants were tested at least 1 time for an overall total of 435 …
Statistical Methods Used In Gifted Education Journals, 2006-2010, Russell Warne, Maria Lazo, Tami Ramos, Nicola Ritter
Statistical Methods Used In Gifted Education Journals, 2006-2010, Russell Warne, Maria Lazo, Tami Ramos, Nicola Ritter
Russell T Warne
This article describes the statistical methods used in quantitative and mixed methods articles between 2006 and 2010 in five gifted education research journals. Results indicate that the most commonly used statistical methods are means (85.9% of articles), standard deviations (77.8%), Pearson’s r (47.8%), χ2 (32.2%), ANOVA (30.7%), t tests (30.0%), and MANOVA (23.0%). Approximately half (53.3%) of the articles included reliability reports for the data at hand; Cronbach’s alpha was the most commonly reported measure of reliability (41.5%). Some discussions of best statistical practice and implications for the field of gifted education are included.