Buch, Englisch, 264 Seiten, Hardback, Format (B × H): 184 mm x 261 mm, Gewicht: 683 g
Buch, Englisch, 264 Seiten, Hardback, Format (B × H): 184 mm x 261 mm, Gewicht: 683 g
ISBN: 978-1-4338-1115-9
Verlag: American Psychological Association (APA)
<p>A prevailing paradigm in social research and community-based interventions involves examining individual problems within various contexts — from the interpersonal to the community at large. Yet the research methodologies used to support these interventions typically lack the ability to consider data from this multilevel, systemic perspective. </p> <p><em>Methodological Approaches to Community-Based Research</em> presents a range of innovative research methodologies that address this basic problem in community-based research frameworks, thereby facilitating more encompassing and more nuanced analyses and interventions. Contributors to this groundbreaking volume offer appropriate methodologies for addressing specific, community-based problems that are relevant to both researchers and practitioners involved in designing, implementing, and evaluating social, health, and education programs from a variety of perspectives, including community psychology, developmental psychology and ageing, health and rehabilitation psychology, neuropsychology, industrial/organisational psychology, and consumer psychology, among them. </p> <p>Part I presents chapters on the implications of mixed-methods research for the producers and consumers of such research. Parts II–IV present chapters on methodologies that involve the grouping of data (such as cluster analysis and meta-analysis), change over time (such as time series analysis and survival analysis), and the context of behaviour and community-wide interventions (such as multilevel modelling, epidemiological approaches, and geographic information systems). </p> <p>A special feature of <em>Methodological Approaches to Community-Based Research</em> are Web Appendixes that include a variety of research applications (e.g., SPSS, SAS, Mplus, GIS) and detailed guidelines on how to run the applications for analysing the accompanying data sets. </p>
