500
Bonus answers:
-Reasons to conduct pilot studies: to weed out potentially confusing questions, to test the independent variable (to see if the manipulation works)…
-Other ways to describe results: comparing individual scores, comparing group means,...
-what do you get if you square s?: the variance, a measure of variability of scores about a mean; the mean of a sum of squared deviations of scores from the group means.
-Repeated Measures design: when the same group of subjects measured over time get the same treatment; an example is one group gets the same medication and is measured weekly where as with Independent Groups one group might get medication, another group might get counseling, another group might vitamins, another group might get yoga and meditation- each group is measured after treatment to compare differences in treatments.
-effects: Main effect: the effect each variable has by itself; Simple main effects: The effect of one IV at a particular level of another IV
-most common factorial design: 2x2; mixed factorial design: combines between and within subjects designs
-testing and instrument decay also might be responsible for the results of an experiment instead of the IV.
-an example of a matched pairs design: having a group be women under 21 and another group being men under 21 and another could be women over 21 and another could be men over 21 = 4 different matched pair groups, first the groups are assigned and then the individuals are randomly mixed up.
-longitudinal method: a developmental research method in which the same persons are observed repeatedly as they grow older (conceptually similar to a repeated measures design; sequential method: a combination of cross-sectional and longitudinal design to study developmental research questions.
-physiological measures: a DV, examples include the GSR, EMG, EEG, etc.
-Type II error: Null hypothesis is accepted when it is not true. Type I error: when the null hypothesis is rejected when it is true; an example- if the null hypothesis is that medication helps a certain group of people and the people are not treated with medication.
-ANOVA: analysis of variance; there is also chi-aquared tests and t-tests.