Conceptual Introduction To Modeling

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A01=David W. Britt
analysis
Author_David W. Britt
Break INUS Conditions
Capital Punishment
Category=JHBA
Category=JHBC
causal inference
comparative
Concept Indicator Models
conceptual frameworks
Due Process Safeguards
Emotional Triangles
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
equation
feedback
feedback mechanisms
gram
Hypothesis Reformulation
indicator
Inductive Side
Influence Flows
Interpretive Sense Making
Interpretive Validity
Longitudinal Graphs
measurement validity
modeling approaches in behavioral research
models
Negative Relationship
Original Relationship
pro
qualitative
Qualitative Comparative Analysis
Quantitative Research
research epistemology
Safe Guards
Situational Clarity
social science theory
Strengthening Yen
structural
System Dynamics Literature
Top Management Team Characteristics
Tv Hour
Tv Viewing
Vice Versa
Wife Battering
Wife's Communication

Product details

  • ISBN 9780805819373
  • Weight: 590g
  • Dimensions: 152 x 229mm
  • Publication Date: 01 Jan 1997
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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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.

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