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define the confounds in the following list and tell why each confound undermines the internal validity of an
1 should demand characteristics be eliminated or strengthened in an experiment explain2 how do researchers detect and
1 what can researchers do to minimize error variance2 discuss the trade-off between internal and external validity
imagine that you are interested in the effects of background music on peopleamp39s performance at workdesign an
1 why do researchers calculate the coefficient of determination2 what does a coefficient of determination of 40
1 why can it be argued that the formula for calculating r should be named the edgeworth rather than the pearson
1 what is a restricted range and what effect does it have on correlation coefficients how would you detect and correct
1 do outliers increase or decrease the magnitude of correlation coefficients2 what impact does reliability have on
1 how can partial correlation help researchers explore possible causal relationships among correlated variables2 when
imagine that you predicted a moderate correlation between peoples scores on a measure of anxiety and the degree to
following the rash of school shootings that occurred in the late 1990s some individuals suggested that violent video
a researcher obtained a sample of 180 participants between the ages of 18 and 24 and calculated the phi coefficient
imagine you obtained a point biserial correlation of 35 between gender and punctuality showing that men arrived later
imagine that you are a college professor you notice that fewer students appear to attend class on friday afternoons
a researcher was interested in whether people tend to marry individuals who are about the same level of physical
1 when do researchers use regression analysis2 what is multiple regression analysis3 distinguish among simultaneous or
1 write the general form of a regression equation that has a single predictor variable identify the criterion variable
imagine that the equation for predicting y from x is y 112 - 47xhow would you use this equation to predict a
1 in stepwise regression why might a predictor variable that correlates highly with the criterion variable not enter
1 when would you calculate a multiple correlation coefficient what do you learn if you square a multiple correlation2
1 describe how structural equations modeling works2 distinguish between latent variable modeling and path analysis as
1 why do researchers use factor analysis2 imagine that you conducted a factor analysis on a set of variables that were
1 discuss the advantages and disadvantages of using a successive independent samples survey design versus a
1 draw a negatively skewed distribution2 what does it indicate if a participant has a z-score of 25 -80
in a normal distribution what percentage of scores fall between -1 and 1 standard deviations from the meanbetween the