Representation Is Not Enough: Symbolic Representation and Perceptions of the Police

2020 ◽  
Vol 52 (5) ◽  
pp. 794-822 ◽  
Author(s):  
Mark Benton
Keyword(s):  
Mixed Methods ◽  
Qualitative Analysis ◽  
Mixed Methods Research ◽  
Symbolic Representation ◽  
Black Clients ◽  
Black Police ◽  
Perceptions Of Police ◽  
Black Officers

Representation in government tends to improve clients’ outcomes, but often has not done so for Black police clients. Representation may have perceptual effects on Black clients separate from its ability to influence outcomes. This mixed-methods research examines representation’s effects on Blacks’ perceptions of police. Representation did not seem to improve perceptions. Results led to a consideration of why representation was not effective. Qualitative analysis revealed that some Black police clients see Black officers as more like White officers than themselves. Participants came to understand that representation did not improve outcomes and adjusted their perceptions of Black officers.

Integrating Without Quantitizing: Two Examples of Deductive Analysis Strategies Within Qualitatively Driven Mixed Methods Research

2021 ◽  
pp. 155868982198983
Author(s):  
Hailey R. Love ◽  
Catherine Corr
Keyword(s):  
Early Childhood ◽  
Mixed Methods ◽  
Qualitative Analysis ◽  
Inclusive Education ◽  
Mixed Methods Research ◽  
Qualitative Data ◽  
Analytic Integration ◽  
Analysis Strategies ◽  
Integration Techniques ◽  
Integration Strategies

When mixed methods research (MMR) has a qualitatively driven analytic frame, integration techniques should align with the purposes and contributions of qualitative methods. This article describes two integration strategies that can be used within qualitatively driven MMR to deductively analyze qualitative data: (a) using quantitative variables as a coding framework, (b) using statistical findings to develop codes for qualitative analysis. The strategies capitalize on the strengths of qualitatively driven MMR while facilitating analytic integration. After describing the strategies, we provide examples within a study examining early childhood inclusive education. This discussion contributes to MMR by providing integration strategies that are necessarily grounded in an analytic frame and that allow rigorous qualitative analysis, facilitate systematic analytic integration, and promote richer understanding of phenomena.

A Theoretical Framework for Mixed Methods Research with Canadian Families Living with Low Income

2019 ◽  
Vol 11 (3) ◽  
pp. 255-276 ◽  
Author(s):  
Carla Ginn ◽  
◽  
Karen Benzies ◽  
Leslie-Anne Keown ◽  
Shelley Raffin Bouchal ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Low Income ◽  
Mixed Methods Research ◽  
Theoretical Framework

Planning and Conducting a Large-Scale Mixed Methods Research Study: Research Team Experiences and Recommendations

2018 ◽  
Vol 10 (1) ◽  
pp. 283-295
Author(s):  
Katrin Niglas ◽  
◽  
Meril Ümarik ◽  
Maarja Tinn ◽  
Ivor Goodson ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
Large Scale ◽  
Research Team ◽  
Research Study ◽  
Study Research

Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders

2019 ◽  
Author(s):  
Tarun Khanna ◽  
Karim R. Lakhani ◽  
Shubhangi Bhadada ◽  
Nabil Khan ◽  
Saba Kohli Davé ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research

Change, Challenges, and Mixed Methods

2017 ◽  
Author(s):  
Jeasik Cho
Keyword(s):  
Qualitative Research ◽  
Mixed Methods ◽  
Mixed Methods Research ◽  
Evaluation Criteria ◽  
Scientific Research ◽  
Evaluation Strategy ◽  
Validity Criteria ◽  
Research Questions ◽  
The Way

This chapter discusses three ongoing issues related to the evaluation of qualitative research. First, the chapter considers whether a set of evaluation criteria is either determinative or changeable. Due to the evolving nature of qualitative research, it is likely that the way in which qualitative research is evaluated can change—not all at once, but gradually. Second, qualitative research has been criticized by newly resurrected positivists whose definitions of scientific research and evaluation criteria are narrow. “Politics of evidence” and a recent big-tent evaluation strategy are examined. Last, this chapter analyzes how validity criteria of qualitative research are incorporated into the evaluation of mixed methods research. The elements of qualitative research seem to be fairly represented but are largely treated as trivial. A criterion, the fit of research questions to design, is identified as distinctive in the review guide of the Journal of Mixed Methods Research.

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