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Valente, Matthew J.; Gonzalez, Oscar; Miocevic, Milica; MacKinnon, David P. – Educational and Psychological Measurement, 2016
Methods to assess the significance of mediated effects in education and the social sciences are well studied and fall into two categories: single sample methods and computer-intensive methods. A popular single sample method to detect the significance of the mediated effect is the test of joint significance, and a popular computer-intensive method…
Descriptors: Structural Equation Models, Sampling, Statistical Inference, Statistical Bias
Sweet, Tracy M.; Junker, Brian W. – Journal of Educational and Behavioral Statistics, 2016
The hierarchical network model (HNM) is a framework introduced by Sweet, Thomas, and Junker for modeling interventions and other covariate effects on ensembles of social networks, such as what would be found in randomized controlled trials in education research. In this article, we develop calculations for the power to detect an intervention…
Descriptors: Intervention, Social Networks, Statistical Analysis, Computation
Phillips, Gary W.; Jiang, Tao – Practical Assessment, Research & Evaluation, 2016
Power analysis is a fundamental prerequisite for conducting scientific research. Without power analysis the researcher has no way of knowing whether the sample size is large enough to detect the effect he or she is looking for. This paper demonstrates how psychometric factors such as measurement error and equating error affect the power of…
Descriptors: Error of Measurement, Statistical Analysis, Equated Scores, Sample Size
Tao, Wei; Cao, Yi – Applied Measurement in Education, 2016
Current procedures for equating number-correct scores using traditional item response theory (IRT) methods assume local independence. However, when tests are constructed using testlets, one concern is the violation of the local item independence assumption. The testlet response theory (TRT) model is one way to accommodate local item dependence.…
Descriptors: Item Response Theory, Equated Scores, Test Format, Models
Zigler, Christina K.; Ye, Feifei – AERA Online Paper Repository, 2016
Mediation in multi-level data can be examined using conflated multilevel modeling (CMM), unconflated multilevel modeling (UMM), or multilevel structural equation modeling (MSEM). A Monte Carlo study was performed to compare the three methods on bias, type I error, and power in a 1-1-1 model with random slopes. The three methods showed no…
Descriptors: Hierarchical Linear Modeling, Structural Equation Models, Monte Carlo Methods, Statistical Bias
Guerrero, Tricia A.; Griffin, Thomas D.; Wiley, Jennifer – Grantee Submission, 2020
The Predict-Observe-Explain (POE) learning cycle improves understanding of the connection between empirical results and theoretical concepts when students engage in hands-on experimentation. This study explored whether training students to use a POE strategy when learning from social science texts that describe theories and experimental results…
Descriptors: Prediction, Observation, Reading Comprehension, Correlation
Meredith P. Franco; Jessika H. Bottiani; Katrina J. Debnam; Wes Bonifay; Toshna Pandey; Juliana Karras; Catherine P. Bradshaw – Grantee Submission, 2024
There is growing interest in improving and assessing teachers' use of culturally responsive practices (CRP) in the classroom, yet relatively few research-based approaches exist to address these measurement gaps. This article presents findings on the psychometric properties of a newly developed classroom observation measure of CRP, called the CARES…
Descriptors: Culturally Relevant Education, Classroom Observation Techniques, Construct Validity, Educational Practices
Istiyono, Edi; Dwandaru, Wipsar Sunu Brams; Lede, Yulita Adelfin; Rahayu, Farida; Nadapdap, Amipa – International Journal of Instruction, 2019
The objective of this study was to develop Physics critical thinking skill test using computerized adaptive test (CAT) based on item response theory (IRT). This research was a development research using 4-D (define, design, develop, and disseminate). The content validity of the items was proven using Aiken's V. The test trial involved 252 students…
Descriptors: Critical Thinking, Thinking Skills, Cognitive Tests, Physics
Cairney, John; Clark, Heather; Dudley, Dean; Kriellaars, Dean – Journal of Teaching in Physical Education, 2019
Purpose: Physical literacy (PL) has been proposed as a key construct for understanding participation in physical activity. However, the lack of an agreed-upon definition and measure has hindered research on the topic. The current study proposed and analyzed the construct validity of a PL model comprised of motor competence, perceived competence,…
Descriptors: Physical Activities, Literacy, Physical Education, Children
Schoen, Robert C.; Yang, Xiaotong; Tazaz, Amanda M.; Bray, Wendy S.; Farina, Kristy – Grantee Submission, 2019
The "2016 Knowledge for Teaching Early Elementary Mathematics" (2016 K-TEEM) test measures teachers' mathematical knowledge for teaching early elementary mathematics. The 2016 K-TEEM is the third version of the K-TEEM (Schoen, Bray, Wolfe, Tazaz, & Nielsen, 2017). In this report, we present results of the first large-scale field test…
Descriptors: Test Construction, Elementary School Mathematics, Elementary School Teachers, Knowledge Base for Teaching
Brenner, Philip S. – Sociological Methods & Research, 2017
That rates of normative behaviors produced by sample surveys are higher than actual behavior warrants is well evidenced in the research literature. Less well understood is the source of this error. Twenty-five cognitive interviews were conducted to probe responses to a set of common, conventional survey questions about one such normative behavior:…
Descriptors: Interviews, Surveys, Religion, Religious Factors
Cao, Mengyang; Tay, Louis; Liu, Yaowu – Educational and Psychological Measurement, 2017
This study examined the performance of a proposed iterative Wald approach for detecting differential item functioning (DIF) between two groups when preknowledge of anchor items is absent. The iterative approach utilizes the Wald-2 approach to identify anchor items and then iteratively tests for DIF items with the Wald-1 approach. Monte Carlo…
Descriptors: Monte Carlo Methods, Test Items, Test Bias, Error of Measurement
Suero, Manuel; Privado, Jesús; Botella, Juan – Psicologica: International Journal of Methodology and Experimental Psychology, 2017
A simulation study is presented to evaluate and compare three methods to estimate the variance of the estimates of the parameters d and "C" of the signal detection theory (SDT). Several methods have been proposed to calculate the variance of their estimators, "d'" and "c." Those methods have been mostly assessed by…
Descriptors: Evaluation Methods, Theories, Simulation, Statistical Analysis
Willse, John T. – Measurement and Evaluation in Counseling and Development, 2017
This article provides a brief introduction to the Rasch model. Motivation for using Rasch analyses is provided. Important Rasch model concepts and key aspects of result interpretation are introduced, with major points reinforced using a simulation demonstration. Concrete guidelines are provided regarding sample size and the evaluation of items.
Descriptors: Item Response Theory, Test Results, Test Interpretation, Simulation
Magnus, Brooke E.; Thissen, David – Journal of Educational and Behavioral Statistics, 2017
Questionnaires that include items eliciting count responses are becoming increasingly common in psychology. This study proposes methodological techniques to overcome some of the challenges associated with analyzing multivariate item response data that exhibit zero inflation, maximum inflation, and heaping at preferred digits. The modeling…
Descriptors: Item Response Theory, Models, Multivariate Analysis, Questionnaires