All questions worth ½ point each
- Correlation can
vary with respect to:
- moment.
- direction.
- strength.
- B and C
- A strong
correlation between variables X and Y implies:
- high scores on X are associated with high scores on Y.
- low scores on X are associated with low scores on Y.
- X is a good predictor of Y.
- X is not good predictor of Y.
- Choose the
strongest correlation:
- -0.28
- -0.76
- +-.66
- +0.12
- If Crime
increases as Police Presence decreases, the correlation is said to be:
- positive.
- negative.
- strong.
- curvilinear
- A negative correlation between variables X and Y implies:
- high scores on X are associated with high scores on Y.
- high scores on X are associated with low scores on Y.
- low scores on X are associated with low scores on Y.
- the variables X and Y are not strongly related.
- A positive correlation between variables X and Y implies:
- high scores on X are associated with high scores on Y.
- high scores on X are associated with low scores on Y.
- low scores on X are associated with high scores on Y.
- the variables X and Y are not strongly related.
- Which
of the following is not a
requirement for Spearman’s rank-order correlation coefficient?
- both X and Y variables must be ranked or ordered.
- ordinal data
- random sampling
- All of the above are required.
- Pearson’s r measures the linear [blank] between two [blank] level variables.
- correction, interval
- correlation, nominal
- correction, nominal
- correlation, interval
- Nonparametric
tests REQUIRE:
- nominal level measurement.
- equal sample sizes.
- more than two samples.
- none of the above are required.
- Which of the following is a
requirement when computing Spearman’s correlation coefficient?
- nominal level data
- interval level data
- ordinal level data
- a and b
- A chi-square test of significance
is essentially concerned with:
- only observed frequencies.
- the distinction between expected and observed frequencies.
- the distinction between two interval level variables.
- the distinction between one ordinal and one interval level variable.
- To determine the relationship
between rank-ordered or ordinal data, we compute:
- Pearson’s r.
- Spearman’s rank order.
- Contingency coefficient.
- Cramér’s V.
A researcher is interested to see if there are correlations among SAT scores, the social support that students receive, and college GPAs.
- There are 3 possible research hypotheses, what is one of them?
- Which two variables have the strongest correlation?
- The correlations between ________ and __________ is significant:
- SAT scores and social support True False
- SAT scores and college GPA True False
- College GPA and social support True False
- The correlations between ________ and __________ is positive:
- SAT scores and social support True False
- SAT scores and college GPA True False
- College GPA and social support True False
