Publication Date
| In 2026 | 0 |
| Since 2025 | 3 |
| Since 2022 (last 5 years) | 3 |
| Since 2017 (last 10 years) | 7 |
| Since 2007 (last 20 years) | 7 |
Descriptor
Source
| Sociological Methods &… | 7 |
Author
| Ari Decter-Frain | 1 |
| Asparouhov, Tihomir | 1 |
| Bloome, Deirdre | 1 |
| Brauer, Jonathan R. | 1 |
| Day, Jacob C. | 1 |
| Edoardo Costantini | 1 |
| Fu, Qiang | 1 |
| Guo, Xin | 1 |
| Hammond, Brittany M. | 1 |
| Hikari Murayama | 1 |
| John Ermisch | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 7 |
| Reports - Research | 5 |
| Reports - Evaluative | 2 |
Education Level
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Ari Decter-Frain; Pratik Sachdeva; Loren Collingwood; Hikari Murayama; Juandalyn Burke; Matt Barreto; Scott Henderson; Spencer Wood; Joshua Zingher – Sociological Methods & Research, 2025
We consider the cascading effects of researcher decisions throughout the process of quantifying racially polarized voting (RPV). We contrast three methods of estimating precinct racial composition, Bayesian Improved Surname Geocoding (BISG), fully Bayesian BISG, and Citizen Voting Age Population (CVAP), and two algorithms for performing ecological…
Descriptors: Voting, Computation, Racial Composition, Bayesian Statistics
John Ermisch – Sociological Methods & Research, 2025
Empirical analysis of variation in demographic events within the population is facilitated by using longitudinal survey data because of the richness of covariate measures in such data, but there is wave-on-wave dropout. When attrition is related to the event, it precludes consistent estimation of the impacts of covariates on the event and on event…
Descriptors: Attrition (Research Studies), Longitudinal Studies, Surveys, Statistical Analysis
Edoardo Costantini; Kyle M. Lang; Tim Reeskens; Klaas Sijtsma – Sociological Methods & Research, 2025
Including a large number of predictors in the imputation model underlying a multiple imputation (MI) procedure is one of the most challenging tasks imputers face. A variety of high-dimensional MI techniques can help, but there has been limited research on their relative performance. In this study, we investigated a wide range of extant…
Descriptors: Statistical Analysis, Social Science Research, Predictor Variables, Sociology
Bloome, Deirdre; Schrage, Daniel – Sociological Methods & Research, 2021
Causal analyses typically focus on average treatment effects. Yet for substantive research on topics like inequality, interest extends to treatments' distributional consequences. When individuals differ in their responses to treatment, three types of inequality may result. Treatment may shape inequalities between subgroups defined by pretreatment…
Descriptors: Regression (Statistics), Outcomes of Treatment, Statistical Analysis, Correlation
Fu, Qiang; Guo, Xin; Land, Kenneth C. – Sociological Methods & Research, 2020
Count responses with grouping and right censoring have long been used in surveys to study a variety of behaviors, status, and attitudes. Yet grouping or right-censoring decisions of count responses still rely on arbitrary choices made by researchers. We develop a new method for evaluating grouping and right-censoring decisions of count responses…
Descriptors: Surveys, Artificial Intelligence, Evaluation Methods, Probability
Brauer, Jonathan R.; Day, Jacob C.; Hammond, Brittany M. – Sociological Methods & Research, 2021
This article presents two alternative methods to null hypothesis significance testing (NHST) for improving inferences from underpowered research designs. Post hoc design analysis (PHDA) assesses whether an NHST analysis generating null findings might otherwise have had sufficient power to detect effects of plausible magnitudes. Bayesian analysis…
Descriptors: Hypothesis Testing, Statistical Analysis, Bayesian Statistics, Statistical Significance
Muthén, Bengt; Asparouhov, Tihomir – Sociological Methods & Research, 2018
This article reviews and compares recently proposed factor analytic and item response theory approaches to the study of invariance across groups. Two methods are described and contrasted. The alignment method considers the groups as a fixed mode of variation, while the random-intercept, random-loading two-level method considers the groups as a…
Descriptors: Measurement, Factor Analysis, Item Response Theory, Statistical Analysis

Peer reviewed
Direct link
