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Amir Abdul Reda; Semuhi Sinanoglu; Mohamed Abdalla – Sociological Methods & Research, 2024
How can we measure the resource mobilization (RM) efforts of social movements on Twitter? In this article, we create the first ever measure of social movements' RM efforts on a social media platform. To this aim, we create a four-conditional lexicon that can parse through tweets and identify those concerned with RM. We also create a simple RM…
Descriptors: Social Media, Social Action, Natural Language Processing, Politics
Karlson, Kristian Bernt; Popham, Frank; Holm, Anders – Sociological Methods & Research, 2023
This article presents two ways of quantifying confounding using logistic response models for binary outcomes. Drawing on the distinction between marginal and conditional odds ratios in statistics, we define two corresponding measures of confounding (marginal and conditional) that can be recovered from a simple standardization approach. We…
Descriptors: Statistical Analysis, Probability, Standards, Mediation Theory
Cheng, Siwei – Sociological Methods & Research, 2023
One of the most important developments in the current era of social sciences is the growing availability and diversity of data, big and small. Social scientists increasingly combine information from multiple data sets in their research. While conducting statistical analyses with linked data is relatively straightforward, borrowing information…
Descriptors: Social Science Research, Statistical Analysis, Statistical Distributions, Statistical Bias
Elbers, Benjamin – Sociological Methods & Research, 2023
An important topic in the study of segregation are comparisons across space and time. This article extends current approaches in segregation measurement by presenting a five-term decomposition procedure that can be used to understand more clearly why segregation has changed or differs between two comparison points. Two of the five terms account…
Descriptors: Social Science Research, School Segregation, Equal Opportunities (Jobs), Residential Patterns
Penaloza, Roberto V.; Berends, Mark – Sociological Methods & Research, 2022
To measure "treatment" effects, social science researchers typically rely on nonexperimental data. In education, school and teacher effects on students are often measured through value-added models (VAMs) that are not fully understood. We propose a framework that relates to the education production function in its most flexible form and…
Descriptors: Data, Value Added Models, Error of Measurement, Correlation
Ragan, Daniel T.; Osgood, D. Wayne; Ramirez, Nayan G.; Moody, James; Gest, Scott D. – Sociological Methods & Research, 2022
The current study compares estimates of peer influence from an analytic approach that explicitly address network processes with those from traditional approaches that do not. Using longitudinal network data from the PROmoting School-community-university Partnerships to Enhance Resilience peers project, we obtain estimates of social influence on…
Descriptors: Peer Influence, Social Networks, Network Analysis, Regression (Statistics)
Barreto, Matt; Collingwood, Loren; Garcia-Rios, Sergio; Oskooii, Kassra A. R. – Sociological Methods & Research, 2022
Scholars and legal practitioners of voting rights are concerned with estimating individual-level voting behavior from aggregate-level data. The most commonly used technique, King's ecological inference (EI), has been questioned for inflexibility in multiethnic settings or with multiple candidates. One method for estimating vote support for…
Descriptors: Civil Rights Legislation, Federal Legislation, Voting, Statistical Analysis
Baggetta, Matthew; Bredenkamp, David M. – Sociological Methods & Research, 2021
Scholars of civil society organizations (CSOs) have long been concerned with face-to-face interactions among participants at meetings, events, and activities--what we collectively call "convenings." Small-N ethnographies have uncovered substantial differences in the dynamics of convenings within and across CSOs. Large-N quantitative…
Descriptors: Observation, Community Organizations, Interaction, Group Dynamics
Rohlfing, Ingo; Zuber, Christina Isabel – Sociological Methods & Research, 2021
Theories of causation in philosophy ask what makes causal claims true and establish the so-called truth conditions allowing one to separate causal from noncausal relationships. We argue that social scientists should be aware of truth conditions of causal claims because they imply which method of causal inference can establish whether a specific…
Descriptors: Social Science Research, Research Methodology, Influences, Theories
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
Blozis, Shelley A.; Harring, Jeffrey R. – Sociological Methods & Research, 2021
Nonlinear mixed-effects models are models in which one or more coefficients of the growth model enter in a nonlinear manner, such as appearing in the exponent of the growth function. In their applications, the within-individual residuals are often assumed to be independent with constant variance across time, an assumption that implies that the…
Descriptors: Statistical Analysis, Models, Computation, Goodness of Fit
Schouten, Rianne Margaretha; Vink, Gerko – Sociological Methods & Research, 2021
Missing data in scientific research go hand in hand with assumptions about the nature of the missingness. When dealing with missing values, a set of beliefs has to be formulated about the extent to which the observed data may also hold for the missing parts of the data. It is vital that the validity of these missingness assumptions is verified,…
Descriptors: Data, Validity, Beliefs, Statistical Analysis
Hollenbach, Florian M.; Bojinov, Iavor; Minhas, Shahryar; Metternich, Nils W.; Ward, Michael D.; Volfovsky, Alexander – Sociological Methods & Research, 2021
Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many scholars still fail to address this vital issue. In this article, we present a simple-to-use method for generating multiple imputations (MIs) using a Gaussian copula. The…
Descriptors: Data, Statistical Analysis, Statistical Distributions, Computation
Jasso, Guillermina – Sociological Methods & Research, 2021
Inequality often appears in linked pairs of variables. Examples include schooling and income, income and consumption, and wealth and happiness. Consider the famous words of Veblen: "wealth confers honor." Understanding inequality requires understanding input inequality, outcome inequality, and the relation between the two--in both…
Descriptors: Input Output Analysis, Justice, Research Methodology, Social Science Research
Berk, Richard; Heidari, Hoda; Jabbari, Shahin; Kearns, Michael; Roth, Aaron – Sociological Methods & Research, 2021
Objectives: Discussions of fairness in criminal justice risk assessments typically lack conceptual precision. Rhetoric too often substitutes for careful analysis. In this article, we seek to clarify the trade-offs between different kinds of fairness and between fairness and accuracy. Methods: We draw on the existing literatures in criminology,…
Descriptors: Justice, Crime, Risk Assessment, Accuracy