Experimental Design

Experimental Design - Depth and Breadth of Information :...

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Unformatted text preview: Depth and Breadth of Information : Little Lot Causal Concomitant Variation Time Order Experimentation Experimental Design Quasi vs. True Randomization Control Exploratory From Before: Research Designs From Before: Research Designs Descriptive Methods cross-tabs t-tests ANOVA regression Focus Groups Literature Search Experience Survey Content Analysis Little Information: Information: Lot Exploratory Causal Causality Causality-- one variable is said to be the cause of another when all other explanations for the effect have been eliminated . Descriptive Research Designs Research Designs A: No, we INFER causality i.e., We probe but do not prove causality.- Kerlinger Q: Is it possible to eliminate all other causes? Causal Inference Causal Inference Q: Lets say that Macintoshs sales went up 45% the week following the Super Bowl. This sales increase is unprecedented in its history and unmatched by its competitors. Based on these findings, do you recommend buying ad time again next year? Why or why not? My A : I dont b/c what if the sales spike was totally unrelated to the ad? For instance, what if I told you that, the same week, Consumer Reports came out with its PC ratings and Imacs were rated Superior....
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Experimental Design - Depth and Breadth of Information :...

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