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rem4:experimental_designs_i [2008/09/17 12:39] – created thorissonrem4:experimental_designs_i [2024/04/29 13:33] (current) – external edit 127.0.0.1
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 | External validity  | How likely is it that the results generalize to other instances of the phenomenon under study?  | | External validity  | How likely is it that the results generalize to other instances of the phenomenon under study?  |
  
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 ===Correlational Studies & Quasi-Experimental Design=== ===Correlational Studies & Quasi-Experimental Design===
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 | 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)  | 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  | Much greater uncertainty as to the internal and external validity of the quasi-experiments than true experimental designs  | | Limitations  | Much greater uncertainty as to the internal and external validity of the quasi-experiments than true experimental designs  |
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 ===Pilots=== ===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+| 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's understanding of one or more of: the experiment, experimental procedure, variables and subjects.  | | 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's understanding of one or more of: the experiment, experimental procedure, variables and subjects.  |
 | Bottom line  | Do not try to "save time" by skipping a pilot if a pilot study seems to makes sense.  | | Bottom line  | Do not try to "save time" by skipping a pilot if a pilot study seems to makes sense.  |
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 | 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.  | | 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.  | | Bottom line  | Unavoidable in all fields of study. Very useful as a supportive method to true experiments.  |
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 | Bottom line  | Much more powerful than most books on experimental designs will tell you  | | Bottom line  | Much more powerful than most books on experimental designs will tell you  |
  
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 ===Controled Experiment=== ===Controled Experiment===
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 | What is randomized?  | The sample should be randomized; subjects should be randomly assigned to control group versus experimental group; Any independent variable identified which could affect the results but is not considered of interest to the research at hand.  | | What is randomized?  | The sample should be randomized; subjects should be randomly assigned to control group versus experimental group; Any independent variable identified which could affect the results but is not considered of interest to the research at hand.  |
 | Bottom line  | The most powerful mechanism for generating reliable knowledge known to mankind.  | | Bottom line  | The most powerful mechanism for generating reliable knowledge known to mankind.  |
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/var/www/cadia.ru.is/wiki/data/attic/rem4/experimental_designs_i.1221655189.txt.gz · Last modified: 2024/04/29 13:33 (external edit)

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