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This is an ideal text for advanced courses in research methods and experimental design. It argues that the methodology of quantitative research is a unified discipline with basic notions, procedures and ways of reasoning which can be applied across the social, behavioural and life sciences. Key designs, models and methods in research are covered by leading contributors in their field who seek to explain the fundamentals of the research process to enable the student to understand the broader implications and unifying themes.
This is an ideal text for advanced courses in research methods and experimental design. It argues that the methodology of quantitative research is a unified discipline with basic notions, procedures and ways of reasoning which can be applied across the social, behavioural and life sciences. Key designs, models and methods in research are covered by leading contributors in their field who seek to explain the fundamentals of the research process to enable the student to understand the broader implications and unifying themes.
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Autorenporträt
CONTRIBUTORS OUTSIDE NORTH AMERICA: J G Bethlehem, University of Amsterdam Paul Darius, KU Leuven Paul de Greef, Amsterdam J van Heerden, University of Amsterdam Peter C M Molenaar Unversity of Amsterdam Joe Whittaker, University of Lancaster Stuart J Pocock, University of Liverpool W E Saris, Vakgroep Methoden en Technieken Pete Sewart, Credit Development Department, Marks and Spencers, England
Inhaltsangabe
Introduction Herman J Ad[gr]er and Gideon J Mellenbergh Historical Remarks Jaap van Heerden Graphical Representation Herman J Ad[gr]er Meta Data Paul de Greef Well defined models of data sets Experimental Design Paul Darius and Kenneth Portier Clinical Trials Stuart J Pocock Cross Sectional Research Jelke Bethlehem Longitudinal Analysis Peter C M Molenaar Measurement Models Gideon J Mellenbergh Graphical Modelling Joe Whittaker and Pete Stewart Structural Equation Modelling William E Saris Graphs, Causality and Structural Equation Models Judea Pearl Meta Analysis John E Cornell and Cynthia D Mulrow Discussion Gideon J Mellenbergh
Introduction Herman J Ad[gr]er and Gideon J Mellenbergh Historical Remarks Jaap van Heerden Graphical Representation Herman J Ad[gr]er Meta Data Paul de Greef Well defined models of data sets Experimental Design Paul Darius and Kenneth Portier Clinical Trials Stuart J Pocock Cross Sectional Research Jelke Bethlehem Longitudinal Analysis Peter C M Molenaar Measurement Models Gideon J Mellenbergh Graphical Modelling Joe Whittaker and Pete Stewart Structural Equation Modelling William E Saris Graphs, Causality and Structural Equation Models Judea Pearl Meta Analysis John E Cornell and Cynthia D Mulrow Discussion Gideon J Mellenbergh
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