UTD EPPS 6342 - EPPS 6342 SYLLABUS (17 pages)

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EPPS 6342 SYLLABUS



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EPPS 6342 SYLLABUS

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Pages:
17
School:
The University of Texas at Dallas
Course:
Epps 6342 - Research Design II

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RESEARCH DESIGN II Instructor D A Hicks Fall 2007 Tuesday 4 00 6 45 PM dahicks utdallas edu Office GR 3 804 Vox 972 883 2733 Email INTRODUCTION AND COURSE OBJECTIVES I n the interplay between design and statistics design rules Shadish et al 2002 xvi The principal task of all science is to explain The framework for explanation is the cause and effect sequence The science part of social science indicates our dependence on replicable methods as the means of isolating causal sequences from other influences We cannot use science to prove something The most we can ever do is gradually strengthen our confidence in the validity of a causal sequence by eliminating possible alternative explanations We accomplish this by repeated testing Testing involves introducing controls for alternative explanations suggested by theory or intuition And it is this process that social science shares with any and all other sciences Science is an empirical activity the coin of the realm is data We derive understanding from data generally expressed as numbers by developing them in disciplined ways The resulting computations data analysis involve attempts to characterize and summarize sets of data so that we might identify and trace possible causal relationships between measured attributes variables of a sample of units of analysis Inevitably the quality of the science we do depends on both the quality of the concepts and measurements underlying our data and the integrity of the techniques we use to develop them The best known way of controlling holding constant extraneous factors and thereby eliminating alternative explanations involves the use of statistical techniques The field of econometrics illustrates the emphasis and effort that have gone into the development of such techniques As powerful and useful as these techniques can be however they focus only on one stage and a latter one at that of the larger research process Much can be done at prior stages to develop our data in ways that can



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