| Description |
1 online resource : illustrations |
| Series |
SAGE Research Methods. Cases |
|
SAGE Research Methods. Cases
|
| 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, 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 |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Description based on XML content |
| Subject |
Poor women -- Psychological aspects.
|
|
Psychiatry -- Research.
|
| Form |
Electronic book
|
| Author |
Milan, Stephanie, author
|
| ISBN |
1526449137 |
|
9781526449139 (ebook) |
|
