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Platt, Jennifer – International Journal of Social Research Methodology, 2016
The methods used when samples of journal articles are treated as the basis for measuring levels of quantification in national sociologies are examined. The data come from every identified example in English. It is found that operational definitions of 'quantitative' vary, while 'qualitative' work is characterised simply by the absence of…
Descriptors: Journal Articles, Statistical Analysis, Sociology, Qualitative Research
Kang, Yoonjeong; Hancock, Gregory R. – Journal of Experimental Education, 2017
Structured means analysis is a very useful approach for testing hypotheses about population means on latent constructs. In such models, a z test is most commonly used for testing the statistical significance of the relevant parameter estimates or of the differences between parameter estimates, where a z value is computed based on the asymptotic…
Descriptors: Models, Statistical Analysis, Hypothesis Testing, Statistical Significance
Baccini, Alberto; De Nicolao, Giuseppe – Research Evaluation, 2017
This letter documents some problems in Ancaiani et al. (2015). Namely the evaluation of concordance, based on Cohen's kappa, reported by Ancaiani et al. was not computed on the whole random sample of 9,199 articles, but on a subset of 7,597 articles. The kappas relative to the whole random sample were in the range 0.07-0.15, indicating an…
Descriptors: Foreign Countries, Scientific Research, Evaluation, Statistical Analysis
Cousineau, Denis; Laurencelle, Louis – Educational and Psychological Measurement, 2017
Assessing global interrater agreement is difficult as most published indices are affected by the presence of mixtures of agreements and disagreements. A previously proposed method was shown to be specifically sensitive to global agreement, excluding mixtures, but also negatively biased. Here, we propose two alternatives in an attempt to find what…
Descriptors: Interrater Reliability, Evaluation Methods, Statistical Bias, Accuracy
Reardon, Sean F.; Shear, Benjamin R.; Castellano, Katherine E.; Ho, Andrew D. – Journal of Educational and Behavioral Statistics, 2017
Test score distributions of schools or demographic groups are often summarized by frequencies of students scoring in a small number of ordered proficiency categories. We show that heteroskedastic ordered probit (HETOP) models can be used to estimate means and standard deviations of multiple groups' test score distributions from such data. Because…
Descriptors: Scores, Statistical Analysis, Models, Computation
Sharpe, Donald – Practical Assessment, Research & Evaluation, 2015
Applied researchers have employed chi-square tests for more than one hundred years. This paper addresses the question of how one should follow a statistically significant chi-square test result in order to determine the source of that result. Four approaches were evaluated: calculating residuals, comparing cells, ransacking, and partitioning. Data…
Descriptors: Statistical Analysis, Statistical Significance, Computation, Comparative Analysis
Shieh, Gwowen; Jan, Show-Li – Psicologica: International Journal of Methodology and Experimental Psychology, 2015
The general formulation of a linear combination of population means permits a wide range of research questions to be tested within the context of ANOVA. However, it has been stressed in many research areas that the homogeneous variances assumption is frequently violated. To accommodate the heterogeneity of variance structure, the…
Descriptors: Statistical Analysis, Sample Size, Computation, Meta Analysis
Riley, Barbara L.; Kernoghan, Alison; Stockton, Lisa; Montague, Steve; Yessis, Jennifer; Willis, Cameron D. – Research Evaluation, 2018
Assessing societal impacts of research is more difficult than assessing advances in knowledge. Methods to evaluate research impact on policy processes and outcomes are especially underdeveloped, and are needed to optimize the influence of research on policy for addressing complex issues such as chronic diseases. Contribution analysis (CA), a…
Descriptors: Foreign Countries, Evaluation Methods, Public Health, Research and Development Centers
de Sousa, Gabriel L. A.; Cardoso, George C. – Physics Education, 2018
We use analogies to provide introductory laboratory students intuition into measurement uncertainties. Using a battery-resistor circuit we discuss uncertainty concepts and derive expressions for uncertainty of the mean and sums of uncertainties. Finally, we draw attention to the fact that the interpretation of standard deviation as uncertainty…
Descriptors: Physics, Science Instruction, Statistical Analysis, Introductory Courses
Kane, Michael T. – Assessment in Education: Principles, Policy & Practice, 2017
In response to an argument by Baird, Andrich, Hopfenbeck and Stobart (2017), Michael Kane states that there needs to be a better fit between educational assessment and learning theory. In line with this goal, Kane will examine how psychometric constraints might be loosened by relaxing some psychometric "rules" in some assessment…
Descriptors: Educational Assessment, Psychometrics, Standards, Test Reliability
Fawcett, Lee – Journal of Statistics Education, 2017
The CASE project (Case-based Approaches to Statistics Education; see www.mas.ncl.ac.uk/~nlf8/innovation) was established to investigate how the use of real-life, discipline-specific case study material in Statistics service courses could improve student engagement, motivation, and confidence. Ultimately, the project aims to promote deep learning…
Descriptors: Case Method (Teaching Technique), Statistics, Case Studies, Statistical Analysis
Doroudi, Shayan; Brunskill, Emma – Grantee Submission, 2017
In this paper, we investigate two purported problems with Bayesian Knowledge Tracing (BKT), a popular statistical model of student learning: "identifiability" and "semantic model degeneracy." In 2007, Beck and Chang stated that BKT is susceptible to an "identifiability problem"--various models with different…
Descriptors: Bayesian Statistics, Research Problems, Statistical Analysis, Models
Byrne, Brian; Little, Callie W.; Olson, Richard K.; Larsen, Sally A.; Coventry, William L.; Weymouth, Rachel – Journal of School Choice, 2020
Asbury and Wai ("Journal of School Choice," 2019) perform a valuable service by summarizing much available behavior--genetic research on academic achievement. However they consider that no specific policies stem from the research body at this time. Here we do propose a policy based on some of our research using twins, namely that…
Descriptors: Educational Policy, Educational Finance, Financial Support, Resource Allocation
Tampieri, Alessandro – Education Economics, 2016
This paper argues that assortative matching may explain over-education. Education determines individuals' income and, due to the presence of assortative matching, the quality of partners in personal, social and working life. Thus, an individual acquires education to improve the expected partners' quality. However, since every individual of the…
Descriptors: Educational Attainment, Overachievement, Education Work Relationship, Interpersonal Relationship
Wang, Jue; Engelhard, George, Jr. – Measurement: Interdisciplinary Research and Perspectives, 2016
The authors of the focus article describe an important issue related to the use and interpretation of causal indicators within the context of structural equation modeling (SEM). In the focus article, the authors illustrate with simulated data the effects of omitting a causal indicator. Since SEMs are used extensively in the social and behavioral…
Descriptors: Structural Equation Models, Measurement, Causal Models, Construct Validity