scholarly journals Analytic flexibility in laboratory aggression paradigms: Relations with personality traits vary (slightly) by operationalization of aggression

2018 ◽  
Author(s):  
Courtland Hyatt ◽  
David Skylan Chester ◽  
Amos Zeichner ◽  
Josh Miller
Keyword(s):  
Personality Traits ◽  
Effect Size ◽  
Social Science Research ◽  
Science Research ◽  
Recent Criticism ◽  
Competitive Reaction ◽  
Future Directions ◽  
Total N ◽  
Profile Matching ◽  
Intraclass Correlations

Competitive reaction time tasks (CRTTs) have been used widely in social science research, but recent criticism has been directed at the flexible quantification strategies used with this methodology. One estimate suggests that over 150 different quantification strategies have been used, and there is evidence to suggest that different operationalizations can affect the results and interpretations of experiments using CRTTs (Elson, Mohseni, Breuer, Scharkow, & Quandt, 2014). In the current investigation, we re-analyze data from four extant samples from two different sites (total N = 600) to examine how the relations between a range of personality traits and aggression vary based on how aggression is operationalized. Our results suggest that there is a modest degree of heterogeneity in effect size and direction for these relations, and that effect size and direction were more consistent for traits more generally related to lab aggression (e.g., psychopathy, low FFM Agreeableness). Additionally, profile matching analyses suggest that different operationalizations yield strong intraclass correlations with one another. These results were consistent across site, methodology, and type of sample, suggesting that these issues are likely generalizable across most labs using CRTTs. We conclude with suggestions for future directions, particularly emphasizing the need for adequately-powered samples, and for researchers to preregister a justified plan for how CRTT data will be analyzed.

Feminist Qualitative Research

2020 ◽  
pp. 199-242
Author(s):  
Maureen C. McHugh
Keyword(s):  
Qualitative Research ◽  
Power Analysis ◽  
Social Science Research ◽  
Science Research ◽  
Feminist Research ◽  
Double Consciousness ◽  
Future Directions ◽  
Gender Oppression ◽  
Qualitative Approaches ◽  
Women's Lives

Feminist research is described in terms of its purposes of addressing women’s lives, advocacy for women, analysis of gender oppression, working for social justice, and transformation of society. Feminist critiques of social science research are reviewed in relation to the development of methodological and epistemological positions. Feminist research is viewed as contributing to the transformation of science from empiricism to postmodernism. Reflexivity, collaboration, power analysis, and advocacy are discussed as common practices of feminist qualitative research. Several qualitative approaches to research are described in relation to feminist research goals, with illustrations of feminist research included. Validity and voice are identified as particular challenges in the conduct of feminist qualitative research. Intersectionality and double consciousness are reviewed as feminist contributions to the transformation of science. Some emerging and innovative forms of feminist qualitative research are highlighted in relation to potential future directions.

scholarly journals Social science research on HIV in Vietnam: A critical review and future directions

2013 ◽  
Vol 8 (sup1) ◽  
pp. S7-S29 ◽  
Author(s):  
Amy Dao ◽  
Jennifer S. Hirsch ◽  
Le Minh Giang ◽  
Richard G. Parker
Keyword(s):  
Social Science ◽  
Critical Review ◽  
Social Science Research ◽  
Science Research ◽  
Future Directions

Feminist Qualitative Research

2014 ◽  
pp. 136-164 ◽  
Author(s):  
Maureen C. McHugh
Keyword(s):  
Qualitative Research ◽  
Power Analysis ◽  
Social Science Research ◽  
Science Research ◽  
Feminist Research ◽  
Double Consciousness ◽  
Future Directions ◽  
Gender Oppression ◽  
Qualitative Approaches ◽  
Women's Lives

Feminist research is described in terms of its purposes of knowledge about women’s lives, advocacy for women, analysis of gender oppression, and transformation of society. Feminist critiques of social science research are reviewed in relation to the development of methodological and epistemological positions. Feminist research is viewed as contributing to the transformation of science from empiricism to postmodernism. Reflexivity, collaboration, power analysis, and advocacy are discussed as common practices of feminist qualitative research. Several qualitative approaches to research are described in relation to feminist research goals, with illustrations of feminist research included. Validity and voice are identified as particular challenges in the conduct of feminist qualitative research. Intersectionality and double consciousness are reviewed as feminist contributions to transformation of science. Some emerging and innovative forms of feminist qualitative research are highlighted in relation to potential future directions.

scholarly journals Analysis and Visualization Considerations for Quantitative Social Science Research Using Social Media Data

2021 ◽  
Author(s):  
J. Bradford Jensen ◽  
Lisa Singh ◽  
Pamela Davis-Kean ◽  
Katharine Abraham ◽  
Paul Beatty ◽  
...  
Keyword(s):  
Social Media ◽  
Visual Analytics ◽  
Social Science Research ◽  
Science Research ◽  
Data Set ◽  
Future Directions ◽  
Social Media Data ◽  
Analysis Techniques ◽  
Media Data ◽  
Different Levels

This is the fifth in a series of white papers providing a summary of the discussions and future directions that are derived from these topical meetings. This paper focuses on issues related to analysis and visual analytics. While these two topics are distinct, there are clear overlaps between the two. It is common to use different visualizations during analysis and given the sheer volume of social media data, visual analytic tools can be important during analysis, as well as during other parts of the research lifecycle. Choices about analysis may be informed by visualization plans and vice versa - both are key in communicating about a data set and what it means. We also recognized that each field of research has different analysis techniques and different levels of familiarity with visual analytics. Putting these two topics into the same meeting provided us with the opportunity to think about analysis and visual analytics/visualization in new, synergistic ways.

scholarly journals Fifty Years of the Panel Study of Income Dynamics: Past, Present, and Future

2018 ◽  
Vol 680 (1) ◽  
pp. 9-28 ◽  
Author(s):  
David S. Johnson ◽  
Katherine A. McGonagle ◽  
Vicki A. Freedman ◽  
Narayan Sastry
Keyword(s):  
Panel Study ◽  
Social Science Research ◽  
Science Research ◽  
War On Poverty ◽  
Income Dynamics ◽  
Future Directions ◽  
Data Infrastructure ◽  
Current Survey ◽  
Research Questions ◽  
Structural Aspects

The Panel Study of Income Dynamics (PSID) is the world’s longest running household panel survey. Since it began in 1968, it has collected data on the same families and their descendants, making it an essential part of America’s data infrastructure for empirically based social science research. The PSID arose from the War on Poverty as a tool for evaluating poverty dynamics, and this year (2018) marks 50 years of data collection. Because of its long history and distinctive design of following adult children as they form their own households, the PSID is uniquely positioned to address emerging social and behavioral research questions and related policy issues. This overview presents the design and structural aspects and its evolution over the past 50 years, the successes of the current survey, possible future directions, and the value of using the PSID to understand the challenges facing American families.

scholarly journals Modeling Considerations for Quantitative Social Science Research Using Social Media Data

2021 ◽  
Author(s):  
Ceren Budak ◽  
Stuart Soroka ◽  
Lisa Singh ◽  
Michael Bailey ◽  
Leticia Bode ◽  
...  
Keyword(s):  
Social Media ◽  
Social Science ◽  
Social Science Research ◽  
Science Research ◽  
Model Fit ◽  
Model Construction ◽  
Interesting Aspect ◽  
Future Directions ◽  
Social Media Data ◽  
Media Data

In this paper, the fourth in a series of white papers, we provide a summary of the discussions and future directions that came from the topical meeting that focused on model construction with social media data. A particularly interesting aspect of this meeting was, in our view, discussion of the different disciplines’ requirements and approaches to modeling and the different considerations that are used to assess model fit.

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