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Zapata, Zakry; Sedory, Stephen A.; Singh, Sarjinder – Sociological Methods & Research, 2022
In this article, we consider the use of the zero-truncated binomial distribution as a randomization device while estimating the population proportion of a sensitive characteristic. The resultant new estimator based on the zero-truncated binomial distribution is then compared to its competitors from both the efficiency and the protection point of…
Descriptors: Social Science Research, Research Methodology, Comparative Analysis, Statistical Analysis
Daza, Sebastian; Kreuger, L. Kurt – Sociological Methods & Research, 2021
Although agent-based models (ABMs) have been increasingly accepted in social sciences as a valid tool to formalize theory, propose mechanisms able to recreate regularities, and guide empirical research, we are not aware of any research using ABMs to assess the robustness of our statistical methods. We argue that ABMs can be extremely helpful to…
Descriptors: Statistical Analysis, Models, Selection, Social Influences
Bucca, Mauricio; Urbina, Daniela R. – Sociological Methods & Research, 2021
Log-linear models for contingency tables are a key tool for the study of categorical inequalities in sociology. However, the conventional approach to model selection and specification suffers from at least two limitations: reliance on oftentimes equivocal diagnostics yielded by fit statistics, and the inability to identify patterns of association…
Descriptors: Foreign Countries, Mathematical Models, Tables (Data), Regression (Statistics)
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
Pósch, Krisztián – Sociological Methods & Research, 2021
Complex social scientific theories are conventionally tested using linear structural equation modeling (SEM). However, the underlying assumptions of linear SEM often prove unrealistic, making the decomposition of direct and indirect effects problematic. Recent advancements in causal mediation analysis can help to address these shortcomings,…
Descriptors: Social Theories, Causal Models, Structural Equation Models, Statistical Analysis
Iannario, Maria; Manisera, Marica; Piccolo, Domenico; Zuccolotto, Paola – Sociological Methods & Research, 2020
In analyzing data from attitude surveys, it is common to consider the "don't know" responses as missing values. In this article, we present a statistical model commonly used for the analysis of responses/evaluations expressed on Likert scales and extended to take into account the presence of don't know responses. The main objective is to…
Descriptors: Response Style (Tests), Likert Scales, Statistical Analysis, Models
Davydov, Youri; Greselin, Francesca – Sociological Methods & Research, 2020
The observed increase in economic inequality, where the major concern is relative to the huge growth of the highest incomes, motivates to revisit classical measures of inequality and to offer new ways to synthesize the variability of the entire income distribution. The idea is to provide policy makers a way to contrast the economic position of the…
Descriptors: Social Differences, Poverty, Advantaged, Measurement Techniques
Mohammed, M. A.; Ibrahim, A. I. N.; Siri, Z.; Noor, N. F. M. – Sociological Methods & Research, 2019
In this article, a numerical method integrated with statistical data simulation technique is introduced to solve a nonlinear system of ordinary differential equations with multiple random variable coefficients. The utilization of Monte Carlo simulation with central divided difference formula of finite difference (FD) method is repeated n times to…
Descriptors: Monte Carlo Methods, Calculus, Sampling, Simulation
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