A conceptual introduction to modeling: qualitative and quantitative perspectives
When seeking to test specific hypotheses in large data sets, social and behavioral scientists often construct models. Although useful in such situations, many phenomena of interest do not occur in large samples and do not lend themselves to precise measurement. In addition, a focus on hypothesis testing can constrict the potential use of models as organizing devices for emerging patterns -- summaries of what we believe we know about the dynamics of situation. This book bridges the gap between "quantitative" and "qualitative" modelers to reconcile the need to impose rigor and to understand the influence of context . Although there are many different uses for models, there is also the realistic possibility of doing credible research without their use. A critical reexamination of the assumptions used in quantitatively-oriented models, however, suggests ways to increase their effectiveness as organizers of both quantitative and qualitative data. Students of methods in psychology, sociology, education, management, social work, and public health -- and their instructors -- are increasingly expected to become familiar with both quantitative and qualitative approaches. Unfortunately, they find few vehicles for communication regarding the implications of overlapping work between the two approaches. Using models as organizing devices for a better dialogue between assumptions and data might facilitate this communication process.
What people are saying - Write a review
We haven't found any reviews in the usual places.
Carving Situations up Into
Elaboration Within the Constraints of an
5 other sections not shown
Other editions - View all
Achen alternative Altheide Amenta analysis analytic induction Anderson and Rouse argued aspects assessing associated assumptions battering become Burawoy capture causal chapter cholesterol claims combination complex concept-indicator models considered context counterinstances credibility dependent variable descriptive validity dialogue discussion emic evaluation examine example explain explanatory explicit extent factor analysis feedback loops focus focuses going Hammersley HIPPY impact implications important increase indicators indirect effects influence interaction interest involved leverage meaning mechanisms Miles & Huberman Miles and Huberman multiple nature observations original relationship overtime parents participants patterns phenomena polarity positive potentially prediction problem qualitative and quantitative qualitative researchers questions Ragin Randers reality relevant represented respecification role scenarios self-esteem self-fulfilling prophecies sense sensitive simplified situation specification process Spurious relationships spuriousness strategies structural equation modeling substantive summarized system dynamics tentative theoretical perspectives theory things tion tive variables and concepts wife wife's