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Autor(en): 
  • Yang Keming
  • Making Sense of Statistical Methods in Social Research 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  März 2010  
    Genre:  Geschichte / Politik / Kultur 
     
    data sampling / quantitative method / Quantitative research / research method statistics / social research / Social research & statistics / Social research and statistics / SOCIAL SCIENCE / Research
    ISBN:  9781847872876 
    EAN-Code: 
    9781847872876 
    Verlag:  Sage Publications 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H / B / D  
    Gewicht:  380 gr 
    Seiten:  216 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Making Sense of Statistical Methods in Social Research is a critical introduction to the use of statistical methods in social research. It provides a unique approach to statistics that concentrates on helping social researchers think about the conceptual basis for the statistical methods they're using.

    Whereas other statistical methods books instruct students in how to get through the statistics-based elements of their chosen course with as little mathematical knowledge as possible, this book aims to improve students' statistical literacy, with the ultimate goal of turning them into competent researchers.

    Making Sense of Statistical Methods in Social Research contains careful discussion of the conceptual foundation of statistical methods, specifying what questions they can, or cannot, answer. The logic of each statistical method or procedure is explained, drawing on the historical development of the method, existing publications that apply the method, and methodological discussions. Statistical techniques and procedures are presented not for the purpose of showing how to produce statistics with certain software packages, but as a way of illuminating the underlying logic behind the symbols.

    The limited statistical knowledge that students gain from straight forward 'how-to' books makes it very hard for students to move beyond introductory statistics courses to postgraduate study and research. This book should help to bridge this gap.

      



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