NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Researchers2
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 16 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Browne, Matthew; Rockloff, Matthew; Rawat, Vijay – Sociological Methods & Research, 2018
Development and refinement of self-report measures generally involves selecting a subset of indicators from a larger set. Despite the importance of this task, methods applied to accomplish this are often idiosyncratic and ad hoc, or based on incomplete statistical criteria. We describe a structural equation modeling (SEM)-based technique, based on…
Descriptors: Structural Equation Models, Scaling, Evaluation Criteria, Psychometrics
Peer reviewed Peer reviewed
Direct linkDirect link
Muñoz, J. F.; Álvarez-Verdejo, E.; García-Fernández, R. M. – Sociological Methods & Research, 2018
Many poverty measures are estimated by using sample data collected from social surveys. Two examples are the poverty gap and the poverty severity indices. A novel method for the estimation of these poverty indicators is described. Social surveys usually contain different variables, some of which can be used to improve the estimation of poverty…
Descriptors: Poverty, Simulation, Income, Socioeconomic Status
Peer reviewed Peer reviewed
Direct linkDirect link
Hemmert, Giselmar A. J.; Schons, Laura M.; Wieseke, Jan; Schimmelpfennig, Heiko – Sociological Methods & Research, 2018
The literature proposes numerous so-called pseudo-R[superscript 2] measures for evaluating "goodness of fit" in regression models with categorical dependent variables. Unlike ordinary least square-R[superscript 2], log-likelihood-based pseudo-R[superscript 2]s do not represent the proportion of explained variance but rather the…
Descriptors: Regression (Statistics), Sample Size, Predictor Variables, Benchmarking
Peer reviewed Peer reviewed
Direct linkDirect link
Vuolo, Mike – Sociological Methods & Research, 2017
Often in sociology, researchers are confronted with nonnormal variables whose joint distribution they wish to explore. Yet, assumptions of common measures of dependence can fail or estimating such dependence is computationally intensive. This article presents the copula method for modeling the joint distribution of two random variables, including…
Descriptors: Sociology, Research Methodology, Social Science Research, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Blackwell, Matthew; Honaker, James; King, Gary – Sociological Methods & Research, 2017
Although social scientists devote considerable effort to mitigating measurement error during data collection, they often ignore the issue during data analysis. And although many statistical methods have been proposed for reducing measurement error-induced biases, few have been widely used because of implausible assumptions, high levels of model…
Descriptors: Error of Measurement, Monte Carlo Methods, Data Collection, Simulation
Peer reviewed Peer reviewed
Direct linkDirect link
Blackwell, Matthew; Honaker, James; King, Gary – Sociological Methods & Research, 2017
We extend a unified and easy-to-use approach to measurement error and missing data. In our companion article, Blackwell, Honaker, and King give an intuitive overview of the new technique, along with practical suggestions and empirical applications. Here, we offer more precise technical details, more sophisticated measurement error model…
Descriptors: Error of Measurement, Correlation, Simulation, Bayesian Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
Hidalgo, Ma Dolores; Benítez, Isabel; Padilla, Jose-Luis; Gómez-Benito, Juana – Sociological Methods & Research, 2017
The growing use of scales in survey questionnaires warrants the need to address how does polytomous differential item functioning (DIF) affect observed scale score comparisons. The aim of this study is to investigate the impact of DIF on the type I error and effect size of the independent samples t-test on the observed total scale scores. A…
Descriptors: Test Items, Test Bias, Item Response Theory, Surveys
Peer reviewed Peer reviewed
Direct linkDirect link
Lohr, Sharon L.; Zhu, Xiaoshu – Sociological Methods & Research, 2017
Many randomized experiments in the social sciences allocate subjects to treatment arms at the time the subjects enroll. Desirable features of the mechanism used to assign subjects to treatment arms are often (1) equal numbers of subjects in intervention and control arms, (2) balanced allocation for population subgroups and across covariates, (3)…
Descriptors: Social Science Research, Randomized Controlled Trials, Research Design, Computer Software
Peer reviewed Peer reviewed
Direct linkDirect link
Stamey, James D.; Beavers, Daniel P.; Sherr, Michael E. – Sociological Methods & Research, 2017
Survey data are often subject to various types of errors such as misclassification. In this article, we consider a model where interest is simultaneously in two correlated response variables and one is potentially subject to misclassification. A motivating example of a recent study of the impact of a sexual education course for adolescents is…
Descriptors: Bayesian Statistics, Classification, Models, Correlation
Peer reviewed Peer reviewed
Direct linkDirect link
Yamaguchi, Kazuo – Sociological Methods & Research, 2016
This article describes (1) the survey methodological and statistical characteristics of the nonrandomized method for surveying sensitive questions for both cross-sectional and panel survey data and (2) the way to use the incompletely observed variable obtained from this survey method in logistic regression and in loglinear and log-multiplicative…
Descriptors: Data Analysis, Surveys, Statistical Analysis, Regression (Statistics)
Peer reviewed Peer reviewed
Direct linkDirect link
Pokropek, Artur – Sociological Methods & Research, 2015
This article combines statistical and applied research perspective showing problems that might arise when measurement error in multilevel compositional effects analysis is ignored. This article focuses on data where independent variables are constructed measures. Simulation studies are conducted evaluating methods that could overcome the…
Descriptors: Error of Measurement, Hierarchical Linear Modeling, Simulation, Evaluation Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Buelens, Bart; van den Brakel, Jan A. – Sociological Methods & Research, 2015
Mixed-mode surveys are known to be susceptible to mode-dependent selection and measurement effects, collectively referred to as mode effects. The use of different data collection modes within the same survey may reduce selectivity of the overall response but is characterized by measurement errors differing across modes. Inference in sample surveys…
Descriptors: Error of Measurement, Surveys, Crime, Victims
Peer reviewed Peer reviewed
Direct linkDirect link
Song, Xi; Mare, Robert D. – Sociological Methods & Research, 2015
Most intergenerational social mobility studies are based upon retrospective data, in which samples of individuals report socioeconomic information about their parents, an approach that provides representative data for offspring but not the parental generation. When available, prospective data on intergenerational mobility, which are based on a…
Descriptors: Social Mobility, Simulation, Income, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Liu, Kayuet; Bearman, Peter S. – Sociological Methods & Research, 2015
Autism prevalence has increased rapidly in the United States during the past two decades. We have previously shown that the diffusion of information about autism through spatially proximate social relations has contributed significantly to the epidemic. This study expands on this finding by identifying the focal points for interaction that drive…
Descriptors: Autism, Pervasive Developmental Disorders, Incidence, Interaction
Previous Page | Next Page »
Pages: 1  |  2