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Shieh, Gwowen – Journal of Experimental Education, 2019
The analysis of covariance (ANCOVA) is a useful statistical procedure that incorporates covariate features into the adjustment of treatment effects. The consequences of omitted prognostic covariates on the statistical inferences of ANCOVA are well documented in the literature. However, the corresponding influence on sample-size calculations for…
Descriptors: Sample Size, Statistical Analysis, Computation, Accuracy
Trafimow, David; Wang, Tonghui; Wang, Cong – Educational and Psychological Measurement, 2019
Two recent publications in "Educational and Psychological Measurement" advocated that researchers consider using the a priori procedure. According to this procedure, the researcher specifies, prior to data collection, how close she wishes her sample mean(s) to be to the corresponding population mean(s), and the desired probability of…
Descriptors: Statistical Distributions, Sample Size, Equations (Mathematics), Statistical Analysis
Sülkü, Seher Nur; Koçak, Deniz – International Journal of Assessment Tools in Education, 2019
Performance evaluation functions as an essential tool for decision makers in the field of measuring and assessing the performance under the multiple evaluation criteria aspect of the systems such as management, economy, and education system. Besides, academic performance evaluation is one of the critical issues in higher institution of learning.…
Descriptors: College Students, Student Evaluation, Evaluation Criteria, Statistical Analysis
Pentimonti, J.; Petscher, Y.; Stanley, C. – National Center on Improving Literacy, 2019
Sample representativeness is an important piece to consider when evaluating the quality of a screening assessment. If you are trying to determine whether or not the screening tool accurately measures children's skills, you want to ensure that the sample that is used to validate the tool is representative of your population of interest.
Descriptors: Sampling, Screening Tests, Measurement, Test Validity
Sinharay, Sandip; Johnson, Matthew S. – Grantee Submission, 2019
According to Wollack and Schoenig (2018), score differencing is one of six types of statistical methods used to detect test fraud. In this paper, we suggested the use of Bayes factors (e.g., Kass & Raftery, 1995) for score differencing. A simulation study shows that the suggested approach performs slightly better than an existing frequentist…
Descriptors: Cheating, Deception, Statistical Analysis, Bayesian Statistics
Bosman, Lisa B.; O'Brien, Steve; Shanta, Susheela; Strimel, Greg J. – Technology and Engineering Teacher, 2018
The purpose of this article is to provide educators with resources to help students establish a deeper understanding of the application and role of statistical analysis within the design and innovation process. Quantitative analyses are often taught and applied through design activities, especially during testing or experimenting phases of design.…
Descriptors: Design, Engineering Education, Statistical Analysis, Statistics
Martínez, Sergio; Rueda, Maria; Arcos, Antonio; Martínez, Helena – Sociological Methods & Research, 2020
This article discusses the estimation of a population proportion, using the auxiliary information available, which is incorporated into the estimation procedure by a probit model fit. Three probit regression estimators are considered, using model-based and model-assisted approaches. The theoretical properties of the proposed estimators are derived…
Descriptors: Computation, Regression (Statistics), Statistical Analysis, Population Groups
Koster, Jeremy; Leckie, George; Aven, Brandy – Field Methods, 2020
The multilevel social relations model (SRM) is a commonly used statistical method for the analysis of social networks. In this article and accompanying supplemental materials, we demonstrate the estimation and interpretation of the SRM using Stat-JR software. Multiple software templates permit the analysis of different response types, including…
Descriptors: Statistical Analysis, Computer Software, Hierarchical Linear Modeling, Social Networks
Barbato, Giovanni; Turri, Matteo – Studies in Higher Education, 2020
Diversity in Higher Education system has been a central topic for both scholars and policy-makers for decades. Several studies have investigated how to measure diversity and the nature of its determinants so far; however, contradictory empirical evidence has emerged. This paper contributes to this literature by adopting a methodological approach…
Descriptors: Diversity (Institutional), Higher Education, Measurement Techniques, Institutional Characteristics
Fleuchaus, Ethan; Kloos, Heidi; Kiefer, Adam W.; Silva, Paula L. – Journal of Experimental Education, 2020
Mistaken beliefs pose a barrier to science learning. For this reason, it is important to understand the circumstances in which they emerge and change. In the current paper, we apply complexity theory to shed light on the nature of mistaken beliefs. The strength of this approach lies in conceptualizing beliefs as dynamic stabilities, a well-defined…
Descriptors: Science Instruction, Misconceptions, Preschool Children, Human Body
Tuytens, Melissa; Devos, Geert; Vanblaere, Bénédicte – Educational Assessment, Evaluation and Accountability, 2020
Teacher evaluation has been used for decades in schools as a human resource management practice to hold teachers accountable and to help them develop professionally. This paper provides a synthesis of empirical studies about teacher evaluation. We use an overarching theoretical framework, the value chain, as a guide to collect and map insights…
Descriptors: Teacher Evaluation, Educational Research, Qualitative Research, Statistical Analysis
Ferrão, Maria Eugénia – Journal of College Student Development, 2020
A broad consensus regarding the need for universities to cultivate academic success has emerged because many students do not achieve their goals or optimally benefit from their higher education (HE) experiences (Altbach, 2014; Davidson & Wilson, 2014; Ferrão & Almeida, 2019; Meggiolaro, Giraldo, & Clerici, 2017; Tinto & Pusser,…
Descriptors: Statistical Analysis, Research Methodology, Educational Research, Higher Education
Hayes, Timothy; Usami, Satoshi – Educational and Psychological Measurement, 2020
Recently, quantitative researchers have shown increased interest in two-step factor score regression (FSR) approaches to structural model estimation. A particularly promising approach proposed by Croon involves first extracting factor scores for each latent factor in a larger model, then correcting the variance-covariance matrix of the factor…
Descriptors: Regression (Statistics), Structural Equation Models, Statistical Bias, Correlation
Kassab, Omar; Mutz, Rüdiger; Daniel, Hans-Dieter – Research Evaluation, 2020
With the growing complexity of societal and scientific problems, research centers have emerged to facilitate the conduct of research beyond disciplinary and institutional boundaries. While they have become firmly established in the global university landscape, research centers raise some critical questions for research evaluation. Existing…
Descriptors: Statistical Analysis, Research and Development Centers, Evaluation Methods, Quasiexperimental Design
Ting, Carol; Fitzgerald, Richard – International Journal of Social Research Methodology, 2020
Contrary to its typical presentation in scientific publications as a certain and linear process, in reality, the experimental method, not least the design aspect of it, requires a great deal of trial-and-error and ad hoc decision-making on the part of the researchers. This uncertain and contingent aspect of research, although little known outside…
Descriptors: Research Design, Logical Thinking, Research Methodology, Ethnography