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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.Too difficult to read, not reader friendly. Horrible bookIntroduction - 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