NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 1 to 15 of 16 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Johnson, Michael Lee; Sedory, Stephen A.; Singh, Sarjinder – Sociological Methods & Research, 2019
In this article, alternative randomized response models are proposed, which make use of sum of quantitative scores generated from two decks of cards being used in a survey. The proposed methods are compared to the Odumade and Singh and Singh and Grewal models through a simulation study. It is shown that the modified methods can be used more…
Descriptors: Scores, Surveys, Responses, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Block, Per; Stadtfeld, Christoph; Snijders, Tom A. B. – Sociological Methods & Research, 2019
Two approaches for the statistical analysis of social network generation are widely used; the tie-oriented exponential random graph model (ERGM) and the stochastic actor-oriented model (SAOM) or Siena model. While the choice for either model by empirical researchers often seems arbitrary, there are important differences between these models that…
Descriptors: Statistical Analysis, Social Networks, Models, Network Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Tavory, Iddo – Sociological Methods & Research, 2019
Ethnography is made of relationships. Even when the observations the ethnographer writes of take place between others in the field, it is through the development of relationships that data are generated and through a particular relationship that interpretation is offered. In this introduction to the special issue about relationships and theorizing…
Descriptors: Ethnography, Interpersonal Relationship, Theories, Power Structure
Peer reviewed Peer reviewed
Direct linkDirect link
Bacak, Valerio; Kennedy, Edward H. – Sociological Methods & Research, 2019
A rapidly growing number of algorithms are available to researchers who apply statistical or machine learning methods to answer social science research questions. The unique advantages and limitations of each algorithm are relatively well known, but it is not possible to know in advance which algorithm is best suited for the particular research…
Descriptors: Violence, Census Figures, Correctional Institutions, Institutionalized Persons
Peer reviewed Peer reviewed
Direct linkDirect link
Dittrich, Dino; Leenders, Roger Th. A. J.; Mulder, Joris – Sociological Methods & Research, 2019
Currently available (classical) testing procedures for the network autocorrelation can only be used for falsifying a precise null hypothesis of no network effect. Classical methods can be neither used for quantifying evidence for the null nor for testing multiple hypotheses simultaneously. This article presents flexible Bayes factor testing…
Descriptors: Correlation, Bayesian Statistics, Networks, Evaluation Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Houghton, James P.; Siegel, Michael; Madnick, Stuart; Tounaka, Nobuaki; Nakamura, Kazutaka; Sugiyama, Takaaki; Nakagawa, Daisuke; Shirnen, Buyanjargal – Sociological Methods & Research, 2019
The potential of social media to give insight into the dynamic evolution of public conversations, and into their reactive and constitutive role in political activities, has to date been underdeveloped. While topic modeling can give static insight into the structure of a conversation, and keyword volume tracking can show how engagement with a…
Descriptors: Social Media, Political Attitudes, Computer Mediated Communication, Social Values
Peer reviewed Peer reviewed
Direct linkDirect link
Barrenechea, Rodrigo; Mahoney, James – Sociological Methods & Research, 2019
This article develops a set-theoretic approach to Bayes's theorem and Bayesian process tracing. In the approach, hypothesis testing is the procedure whereby one updates beliefs by narrowing the range of states of the world that are regarded as possible, thus diminishing the domain in which the actual world can reside. By explicitly connecting…
Descriptors: Bayesian Statistics, Hypothesis Testing, Qualitative Research, Research Methodology
Peer reviewed Peer reviewed
Direct linkDirect link
Trouille, David; Tavory, Iddo – Sociological Methods & Research, 2019
This article makes the case for shadowing as ethnographic methodology: focusing attention on what occurs as interlocutors move among settings and situations. Whereas ethnographers often zoom in on one principal set of situations or site, we argue that intersituational variation broadens and deepens the researcher's ethnographic account as well as…
Descriptors: Ethnography, Immigrants, Hispanic Americans, Parks
Peer reviewed Peer reviewed
Direct linkDirect link
Beach, Derek; Pedersen, Rasmus Brun – Sociological Methods & Research, 2018
The last decade has witnessed resurgence in the interest in studying the causal mechanisms linking causes and effects. This article games through the methodological consequences that adopting a systems understanding of mechanisms has for what types of cases we should select when using in-depth case study methods like process tracing. The article…
Descriptors: Influences, Case Studies, Systems Approach, Selection Criteria
Peer reviewed Peer reviewed
Direct linkDirect link
Cabrera, Laura Y.; Reiner, Peter B. – Sociological Methods & Research, 2018
Between-subject design surveys are a powerful means of gauging public opinion, but critics rightly charge that closed-ended questions only provide slices of insight into issues that are considerably more complex. Qualitative research enables richer accounts but inevitably includes coder bias and subjective interpretations. To mitigate these…
Descriptors: Mixed Methods Research, Comparative Analysis, Content Analysis, Qualitative Research
Peer reviewed Peer reviewed
Direct linkDirect link
Slez, Adam; O'Connell, Heather A.; Curtis, Katherine J. – Sociological Methods & Research, 2017
Areal data have been used to good effect in a wide range of sociological research. One of the most persistent problems associated with this type of data, however, is the need to combine data sets with incongruous boundaries. To help address this problem, we introduce a new method for identifying common geographies. We show that identifying common…
Descriptors: Data, Data Processing, Geographic Information Systems, Research Methodology
Peer reviewed Peer reviewed
Direct linkDirect link
Tarray, Tanveer A.; Singh, Housila P.; Yan, Zaizai – Sociological Methods & Research, 2017
This article addresses the problem of estimating the proportion Pi[subscript S] of the population belonging to a sensitive group using optional randomized response technique in stratified sampling based on Mangat model that has proportional and Neyman allocation and larger gain in efficiency. Numerically, it is found that the suggested model is…
Descriptors: Models, Efficiency, Sampling, Research Problems
Peer reviewed Peer reviewed
Direct linkDirect link
Solanki, Ramkrishna S.; Singh, Housila P. – Sociological Methods & Research, 2016
In this article, first we obtained the correct mean square error expression of Gupta and Shabbir's linear weighted estimator of the ratio of two population proportions. Later we suggested the general class of ratio estimators of two population proportions. The usual ratio estimator, Wynn-type estimator, Singh, Singh, and Kaur difference-type…
Descriptors: Computation, Mathematical Concepts, Generalization, Statistical Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Singh, Housila P.; Tarray, Tanveer A. – Sociological Methods & Research, 2015
In this article, we have suggested a new modified mixed randomized response (RR) model and studied its properties. It is shown that the proposed mixed RR model is always more efficient than the Kim and Warde's mixed RR model. The proposed mixed RR model has also been extended to stratified sampling. Numerical illustrations and graphical…
Descriptors: Item Response Theory, Models, Efficiency, Comparative Analysis
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
Previous Page | Next Page ยป
Pages: 1  |  2