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A Type I error is made in a significance test when the researcher rejects the null hypothesis when it is actually true.
Q2: To increase the internal validity of a
Q4: Independent variables can be manipulated according to
Q15: Ruling out alternative explanations for results increases
Q16: _ is a source of bias that
Q17: The number of participants in a study
Q30: In terms of the way data are
Q31: Convenience samples where past participants recommend future
Q33: The _ section is not explicitly listed
Q35: Milgram (1963) justified his study by arguing
Q36: There are areas of psychology where experiments