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To investigate issues relavant to confirmation or disconfirmation of theories or emperical positions |
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To investigate a problem based in the real world |
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Description
Explanation
Prediction
Control
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Is neccessary for
Event A only happens because event B happened
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No interference, observe natural changes |
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Experimental manipulation |
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Manipulate variable to see if it produces change in other variable |
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What the researcher manipulates and is on the x axis |
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What the researcher measures and is on the y axis |
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Non experimental research |
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Observational and hard to prove causation
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Can demonstrate causation |
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Must make sure that conditions are the same for both groups |
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The extent to which the test measures what it is designed to measure |
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Refers to the adequacy of the operational definition of variables |
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How well does test predict future behaviour |
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How much do the results of a test match with another test that has measured the same thing |
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A study has high internal validity when strong inferences can be made that one variable caused changes in the other variable.made more easily when in experimental research |
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When results can be generalised to other populations and settings |
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The extent to which the test provides a reliable measure of what it is measuring. i.e reliable tools you wouldnt measure skytower with a 30cm ruler |
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doing the test twice and seeing how scores correlate |
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•After the participant sat the test, arbitrarily split the test in two equal halves. How similar are the results from both halves? |
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Nominal measurement level |
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Numbers are used to represent names for the different values of a variable. e.g., measuring gender as 1=male / 2=female |
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