Qualitative Approaches to Dyadic Data Analyses in Family Communication Research: An Invited Essay

2015 ◽  
Vol 15 (3) ◽  
pp. 185-192 ◽  
Author(s):  
Jimmie Manning ◽  
Adrianne Kunkel
Keyword(s):  
Family Communication ◽  
Communication Research ◽  
Dyadic Data ◽  
Qualitative Approaches ◽  
Data Analyses

scholarly journals The Meaning Extraction Method: A Complementary Approach to Content Analysis for Communication Research

2020 ◽  
Author(s):  
David Matthew Markowitz
Keyword(s):  
Social Psychology ◽  
Content Analysis ◽  
Extraction Method ◽  
Qualitative Content Analysis ◽  
Communication Research ◽  
Top Down ◽  
Massive Datasets ◽  
Qualitative Approaches ◽  
Complementary Approach ◽  
Content Analyses

Qualitative content analyses often rely on a top-down approach to understand themes in a collection of texts. A codebook prescribes how humans should qualitatively judge whether a text fits a theme based on rules and judgment criteria. Qualitative approaches are challenging because they require many resources (e.g., coders, training, rounds of coding), can be affected by researcher or coder bias, and may miss meaningful patterns that deviate from the codebook. A complementary, bottom-up approach — the Meaning Extraction Method — has been popular in social psychology but rarely applied to communication research. This paper outlines the value of qualitative content analysis and the Meaning Extraction Method, concluding with a guide to conduct analyses of content and themes from massive datasets, quantitatively. The Meaning Extraction Method is performed on a public and published archive of pet adoption profiles to demonstrate the approach. Considerations for communication research are offered.

scholarly journals The vicarious effects of discrimination: How partner experiences of discrimination affect individual health

2017 ◽  
Author(s):  
Nyla Wofford ◽  
Andrew M. Defever ◽  
William J. Chopik
Keyword(s):  
Chronic Illness ◽  
Interpersonal Relationships ◽  
Psychological Effects ◽  
Dyadic Data ◽  
Self Rated Health ◽  
Individual Health ◽  
Data Analyses ◽  
Vicarious Experiences ◽  
Insight Into ◽  
Relationship Strain

Little is known about how discriminatory experiences are associated with interpersonal relationships—specifically whether one person’s experience of discrimination has psychological effects on their partner and their relationship (i.e., vicarious effects). Using dyadic data analyses, we examined actor and partner effects of discriminatory experiences on self-rated health, chronic illness, depression, and relationship strain in a sample of 1,949 couples (3,898 participants). Actor and partner discrimination were associated with poorer health, greater depression, and greater relationship strain. These effects were mediated by higher levels of relationship strain. Our findings provide insight into the effects of direct and vicarious experiences of discrimination on interpersonal relationships.

Advice in Families

2018 ◽  
Author(s):  
Cassandra Carlson Hill
Keyword(s):  
Family Therapy ◽  
Human Development ◽  
Systems Theory ◽  
Family Communication ◽  
Integrated Model ◽  
Family Systems Theory ◽  
Communication Research ◽  
Response Theory ◽  
Theoretical Frameworks ◽  
Different Types

This chapter examines what is known and what requires further exploration in research on advice in family communication. Research about advice in families is largely drawn from human development, family therapy, and psychology, with only a few studies grounded in theories of advice and family communication. This chapter provides a synthetic review of this research, emphasizing who provides advice and how it functions across different types of familial relationships. The chapter also highlights relevant theoretical frameworks, including advice response theory, the integrated model of advice, and family systems theory. Finally, the chapter offers guidance specifically relevant to family members giving and receiving advice.

Datafication research: Mapping the field for a future agenda

2021 ◽  
pp. 146144482110466
Author(s):  
Sofie Flensburg ◽  
Stine Lomborg
Keyword(s):  
Web Of Science ◽  
Research Field ◽  
Data Driven ◽  
Communication Research ◽  
Research Fields ◽  
Use Of Data ◽  
Qualitative Approaches ◽  
Current State ◽  
User Perspectives

A growing body of research centers around the concept of “datafication” suggesting a buzz around data studies and, perhaps, the emergence of a research field. This article analyzes and discusses the current state of datafication research. Our dataset comprises 463 publications on datafication identified through a systematic literature search in Web of Science and Scopus, an explorative network analysis of keyword co-occurrences and a content analysis of these publications. We map datafication research interests in various research fields, find that the majority of studies are theoretically oriented, whereas empirical analyses largely apply qualitative approaches and rarely make use of data-driven methods. We suggest studies on datafication can be devised into categories reflecting research interests in either user understandings and practices or in infrastructure and technological processes of datafication. The latter strand is particularly sparse in empirical anchoring, and needs empirical and methodological attention. We conclude by outlining three paths for future datafication research to cross-pollinate infrastructural and user perspectives, highlighting the bridging role of communication research in such an endeavor.

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