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Moretti, Angelo; Whitworth, Adam – Sociological Methods & Research, 2023
Spatial microsimulation encompasses a range of alternative methodological approaches for the small area estimation (SAE) of target population parameters from sample survey data down to target small areas in contexts where such data are desired but not otherwise available. Although widely used, an enduring limitation of spatial microsimulation SAE…
Descriptors: Simulation, Geometric Concepts, Computation, Measurement
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Raggi, Martina; Stanghellini, Elena; Doretti, Marco – Sociological Methods & Research, 2023
The decomposition of the overall effect of a treatment into direct and indirect effects is here investigated with reference to a recursive system of binary random variables. We show how, for the single mediator context, the marginal effect measured on the log odds scale can be written as the sum of the indirect and direct effects plus a residual…
Descriptors: Path Analysis, Student Attitudes, Museums, Error of Measurement
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Voyer, Andrea; Kline, Zachary D.; Danton, Madison; Volkova, Tatiana – Sociological Methods & Research, 2022
This article presents a computational approach to examining immigrant incorporation through shifts in the social "mainstream." Analyzing a historical corpus of American etiquette books, texts from 1922-2017 describing social norms, we identify mainstream shifts related to long-standing groups which once were and may currently still be…
Descriptors: Immigrants, United States History, Discourse Analysis, Acculturation
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Moretti, Angelo; Shlomo, Natalie; Sakshaug, Joseph W. – Sociological Methods & Research, 2021
Small area estimation (SAE) plays a crucial role in the social sciences due to the growing need for reliable and accurate estimates for small domains. In the study of well-being, for example, policy makers need detailed information about the geographical distribution of a range of social indicators. We investigate data dimensionality reduction…
Descriptors: Well Being, Social Indicators, Computation, Social Science Research
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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
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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