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When mothers and daughters see symptoms differently : a case study on dyadic research in low-income families

Author: Linda Oshin; Stephanie Milan
Publisher: London : SAGE Publications Ltd, 2018.
Series: SAGE Research Methods., Cases.
Edition/Format:   eBook : Document : English
Summary:
Conducting quantitative research with low-income and minority adolescents and their families presents a myriad of challenges. This case study is based on our work investigating how relational factors (i.e., attachment style) affect mother-daughter agreement on their own and each other's depressive symptoms. We use this case to illustrate specific challenges in dyadic research with an understudied population. First,  Read more...
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Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Linda Oshin; Stephanie Milan
ISBN: 9781526449139 1526449137
OCLC Number: 1023830335
Description: 1 online resource : illustrations.
Series Title: SAGE Research Methods., Cases.
Responsibility: Linda Oshin, Stephanie Milan.

Abstract:

Conducting quantitative research with low-income and minority adolescents and their families presents a myriad of challenges. This case study is based on our work investigating how relational factors (i.e., attachment style) affect mother-daughter agreement on their own and each other's depressive symptoms. We use this case to illustrate specific challenges in dyadic research with an understudied population. First, we discuss recruitment and data collection strategies used to target this population. Next, we highlight important issues to consider in choosing measures for diverse populations and for gathering data on clinical symptoms from multiple viewpoints. Third, we describe the process of hypothesis generation in studies conducted for other purposes. Finally, we review and evaluate different options for data analysis with multiple informants (e.g., mother and child) on the same construct, which has long been a challenge in developmental research. Through this case study, we hope the reader will gain an understanding of strategies for conducting research with members of low-income families, a typically underrepresented group in social science research. Furthermore, our goal is to communicate the merits of designing quantitative studies that capture a more complex picture of psychopathology.

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