Advanced Search Results For "1614-2241 IS"
Surprising Implications of Differences in Locations Versus Differences in Means
Publication Type: Academic Journal
Source(s): Methodology, Vol 19, Iss 2, Pp 152-169 (2023)
Abstract: Social science researchers depend on differences in means between experimental and control conditions to draw substantive conclusions. However, an alternative is to use differences in locations. For normal distributions, means and locations are the sam...
A Simulation-Based Scaled Test Statistic for Assessing Model-Data Fit in Least-Squares Unrestricted Factor-Analysis Solutions
Publication Type: Academic Journal
Source(s): Methodology, Vol 19, Iss 2, Pp 96-115 (2023)
Abstract: A shortcoming of least-squares unrestricted factor analysis (UFA) procedures, which are widely used in psychometric applications is that a test statistic for assessing model-data fit cannot be easily derived from the minimum fit function value. This pa...
Empirical Ensemble Equating Under the NEAT Design Inspired by Machine Learning Ideology
Publication Type: Academic Journal
Source(s): Methodology, Vol 19, Iss 2, Pp 116-132 (2023)
Abstract: This study proposes an empirical ensemble equating (3E) approach that collectively selects, adopts, weighs, and combines outputs from different sources to take and combine advantage of equating techniques in various score intervals. The ensemble idea w...
Estimation Quality and Required Sample Sizes in Three-Level Contextual Analysis Models
Publication Type: Academic Journal
Source(s): Methodology, Vol 19, Iss 2, Pp 133-151 (2023)
Abstract: In multilevel analysis, Level-1 predictors that also explain variance at a higher level are called contextual predictors. In the multilevel manifest covariate model, the Level-2 component is modeled as the average of the Level-1 predictor scores within...
The Logics of and Strategies to Enhance Generalization of Mixed Methods Research Findings
Publication Type: Academic Journal
Source(s): Methodology, Vol 19, Iss 2, Pp 170-191 (2023)
Abstract: Generalization of research findings is a cognizant action entailing careful examination and interpretation of findings drawn from specific samples and extrapolation of those findings to other diverse populations and settings. Approaches to generalizati...
Understanding, Testing, and Relaxing Sphericity of Repeated Measures ANOVA with Manifest and Latent Variables Using SEM
Publication Type: Academic Journal
Source(s): Methodology, Vol 19, Iss 1, Pp 60-95 (2023)
Abstract: This article demonstrates how to perform univariate repeated measures ANOVA (U-RM-ANOVA) as a special case of structural equation models (SEMs). In the literature, sphericity is usually defined in terms of variances of pairwise differences of within-su...
Introducing an Efficient Alternative Technique to Optional Quantitative Randomized Response Models
Publication Type: Academic Journal
Source(s): Methodology, Vol 19, Iss 1, Pp 24-42 (2023)
Abstract: In social surveys on sensitive characteristics, optional randomized response models give the respondents the option to either report the true response or report the scrambled response. If any respondent finds that the question being asked does not feel...
X Matters Too: How the Blended Slope Problem Manifests Differently in Unilevel vs. Multilevel Models
Publication Type: Academic Journal
Source(s): Methodology, Vol 19, Iss 1, Pp 1-23 (2023)
Abstract: Aside from multilevel models (MLMs), several analytic approaches are available for handling cluster-induced dependencies. Nevertheless, the literature on MLM alternatives has called less explicit attention to the potential bias in level-1 (L1) slope co...
Using Pointwise Mutual Information for Breast Cancer Health Disparities Research With SEER-Medicare Claims
Publication Type: Academic Journal
Source(s): Methodology, Vol 19, Iss 1, Pp 43-59 (2023)
Abstract: Identification of procedures using International Classification of Diseases or Healthcare Common Procedure Coding System codes is challenging when conducting medical claims research. We demonstrate how Pointwise Mutual Information can be used to find a...
Recovering Crossed Random Effects in Mixed-Effects Models Using Model Averaging
Publication Type: Academic Journal
Source(s): Methodology, Vol 18, Iss 4, Pp 298-323 (2022)
Abstract: Random effects contain crucial information to understand the variability of the processes under study in mixed-effects models with crossed random effects (MEMs-CR). Given that model selection makes all-or-nothing decisions regarding to the inclusion of...