rem4:experimental_designs_i
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- | HLaqPE , [url=http://ykymfoiejdnd.com/]ykymfoiejdnd[/url], [link=http:// | + | ===== Experimental Designs I: Types of Designs ===== |
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+ | ===Concepts=== | ||
+ | | Experimental design | ||
+ | | Subject(s) | ||
+ | | Sample | ||
+ | | Between subjects vs. within subjects design | ||
+ | | Quasi-Experimental | ||
+ | | Internal validity | ||
+ | | External validity | ||
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+ | ===Correlational Studies & Quasi-Experimental Design=== | ||
+ | | Correlation | ||
+ | | Correlation: | ||
+ | | Main operating principle behind correlation | ||
+ | | Correlation: | ||
+ | | Quasi-experimental designs | ||
+ | | How it works | 1. One-shot case study (no control group) \\ 2. Single group pre- and post-test (minimal control) \\ 3. ABAB: Single-group repeated measures (slightly less minimal control) | ||
+ | | Limitations | ||
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+ | ===Pilots=== | ||
+ | | What is it? | A more loose, pre-study using the intended experimental design to tune it \\ A pre-study intended to gauge the nature, scales or other factors of the variables to be measured, or the subject to be measured | ||
+ | | Why and when | Pilots are much more useful than you might think. Yes, it will increase the duration and effort of your experiment BUT: It can significantly improve the quality of the subsequent experiment in many cases. It will certainly clarify and sharpen the experimenter' | ||
+ | | Bottom line | Do not try to "save time" by skipping a pilot if a pilot study seems to makes sense. | ||
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+ | ===Field Studies=== | ||
+ | | What is it? | Quasi-experimental design. To study a phenomeon "in the wild" | ||
+ | | When | When an experimental setup is out of the question. | ||
+ | | Example | ||
+ | | How | Try to approximate a true experimental design as possible, by randomizing where possible, and by controlling the independent variables, if possible. Make the best attempt possible at analyzing potential alternative variables related to the dependent variable to be measured. | ||
+ | | Bottom line | Unavoidable in all fields of study. Very useful as a supportive method to true experiments. | ||
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+ | ===ABAB (aka Repeated Measures) === | ||
+ | | What is it? | Repeated measurements of the same sample, varying the independent variables between sessions | ||
+ | | When | When control group is not possible; When the group of subjects is small or single-case (e.g. medical studies) | ||
+ | | Example | ||
+ | | Often done with only ABA | Adding the last " | ||
+ | | Bottom line | Much more powerful than most books on experimental designs will tell you | | ||
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+ | ===Controled Experiment=== | ||
+ | | What is it? | A fairly recent research method, historically speaking, for testing hypotheses | ||
+ | | When | When it is possible to control and select everything of importance to the subject of study | | ||
+ | | How | Select subjects freely, randomize samples, remove experimenter effect through double-blind procedure, use control groups, select independent and dependent variables as necessary to answer the questions raised. | | ||
+ | | Why randomize? | ||
+ | | What is randomized? | ||
+ | | Bottom line | The most powerful mechanism for generating reliable knowledge known to mankind. | ||
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+ | ===Usability Studies=== | ||
+ | | What is it? | The study of human use of technology. | ||
+ | | When | When technology and/or its users are of interest | ||
+ | | How | Experimental setup - easy to use true experimental design, but field studies also common | ||
+ | | Origin | ||
+ | | Bottom line | Increasingly important in a world where more and more technology is interacting with humans | ||
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+ | EOF |
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