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Autor(en): 
  • David W Britt
  • A Conceptual Introduction To Modeling: Qualitative and Quantitative Perspectives 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

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    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  1997  
    Genre:  Psychologie / Pädagogik 
    ISBN:  9780805819380 
    EAN-Code: 
    9780805819380 
    Verlag:  Taylor & Francis Ltd (Sales) 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 229 mm / B 154 mm / D 23 mm 
    Gewicht:  327 gr 
    Seiten:  232 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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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