This text 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.
This text 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.
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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