Navigation » List of Schools » Glendale Community College » Psychology » Psychology 200 – Research Methods for Psychology » Fall 2022 » Module 5 Quiz
Below are the questions for the exam with the choices of answers:
Question #1
A It can cause people to interrogate a study’s validities.
B It can make journalists look bad.
C It can lead people to think journalists are scientists.
D It can lead people to value one study over decades of previous research.
Question #2
A p
B r
C b
D d
Question #3
A Dr. Finn’s study in which he measured job commitment in a group of Japanese factory workers and in a group of Mexican factory workers
B Dr. Stabler’s study in which he measured people’s frequency of playing video games in ninth grade and their aggressive behaviors in 12th grade
C Dr. Tutola’s study in which he measured the daily stress of a group of married men and the daily happiness of their spouses
D Dr. Benson’s study in which she measured people’s spatial manipulation ability in August and measured their ability again in May after they had taken two semesters of art classes
Question #4
A Effect size and statistical significance are synonymous terms.
B Larger effect sizes are advantageous for statistical significance.
C Statistical significance alone is sufficient to indicate effect size.
D An association’s effect size has no effect on statistical significance.
Question #5
A All else being equal, there will be greater likelihood of a finding being important in the real world.
B All else being equal, there will be greater likelihood of finding a zero in the 95% CI.
C All else being equal, there will be a greater likelihood of finding a non-statistically significant relationship.
D All else being equal, there will be greater likelihood of establishing construct validity.
Question #6
A A list of the specific predictor variables used.
B A list of the specific criterion variables used.
C A table with the betas and their confidence intervals.
D The phrase “controlled for” when describing the findings.
Question #7
A manipulating a variable at two points in time
B measuring the same variables at two points in time
C measuring at least four variables at one time
D measuring different age groups at two different times
Question #8
A r = -.44, 95% CI [–.32, –.56]
B r = .32, 95% CI [.03, .61]
C r = –.28, 95% CI [–.06, –.50]
D r = .26, 95% CI [–.08, .60]
Question #9
A They are the same: A moderator indicates that the association is spurious.
B They are different: A moderator indicates that the same association exists within subgroups, while a spurious association indicates that the associations differ for subgroups.
C They are different: A moderator only involves one variable, while a spurious association involves both variables.
D They are different: A moderator indicates the association is not spurious.
Question #10
A beta values
B b values
C significance values
D effect sizes
Question #11
A a scatterplot
B a bar graph
C a curvilinear association
D an outlier
Question #12
A the number of observations that make each bar
B a difference in the height between the bars
C the number of bars in the graph
D the direction of the bars
Question #13
A autocorrelations
B multivariate correlations
C cross-lag correlations
D cross-sectional correlations
Question #14
A causal inferences; made
B hypotheses; tested
C covariance; established
D construct validity; interrogated
Question #15
A directionality
B third variable
C covariance
D association
Question #16
A pattern and parsimony
B third variable problems
C multiple-regression designs
D hypothesis generation
Question #17
A number of outliers and direction of the association
B sample size and effect size
C sample size and number of variables analyzed
D direction of the association and strength of the association
Question #18
A participant gender is a mediating variable.
B emotional well-being is a moderating variable.
C participant gender is a moderating variable.
D emotional well-being is a mediating variable.
Question #19
RESEARCH STUDY 8.1: Dr. Guidry conducts a study examining the relationship between the number of friends one has and the experience of daily stress and life satisfaction. She randomly samples 1,500 elderly men and women in Nashville, Tennessee (the state capital), located in the southern United States. Below are her findings:
• Life satisfaction and experience of daily stress: r = –.57, 95% CI [–.77, –.37]
• Number of friends one has and experience of daily stress: r = .09, 95% CI [–.27, .45]
• Number of friends one has and life satisfaction: r = .36, 95% CI [.12, .60]
Dr. Guidry finds that the relationship between the number of friends one has and life satisfaction is stronger for men than for women. In this study, gender (male or female) is considered a(n)
A moderator.
B spurious variable.
C outlier.
D cause.
Question #20
RESEARCH STUDY 8.1: Dr. Guidry conducts a study examining the relationship between the number of friends one has and the experience of daily stress and life satisfaction. She randomly samples 1,500 elderly men and women in Nashville, Tennessee (the state capital), located in the southern United States. Below are her findings:
• Life satisfaction and experience of daily stress: r = –.57, 95% CI [–.77, –.37]
• Number of friends one has and experience of daily stress: r = .09, 95% CI [–.27, .45]
• Number of friends one has and life satisfaction: r = .36, 95% CI [.12, .60]
In determining whether the relationship between two of Dr. Guidry’s variables was statistically significant, which of the following must be considered?
A sample size and effect size
B the number of outliers and the direction of the association
C sample size and number of variables analyzed
D direction of the association and strength of the association
Question #21
RESEARCH STUDY 8.1: Dr. Guidry conducts a study examining the relationship between the number of friends one has and the experience of daily stress and life satisfaction. She randomly samples 1,500 elderly men and women in Nashville, Tennessee (the state capital), located in the southern United States. Below are her findings:
• Life satisfaction and experience of daily stress: r = –.57, 95% CI [–.77, –.37]
• Number of friends one has and experience of daily stress: r = .09, 95% CI [–.27, .45]
• Number of friends one has and life satisfaction: r = .36, 95% CI [.12, .60]
Dr. Guidry creates a scatterplot of the relationship between the experience of daily stress and life satisfaction. In doing so, she realizes there are three scores that seem to be very extreme and are nowhere near the other points on the scatterplot. Specifically, it appears that three people report very high levels of daily stress and very low levels of life satisfaction. Dr. Guidry should probably consider these scores
A curvilinear scores.
B moderators.
C outliers.
D random.
Question #22
A life satisfaction and experience of daily stress
B life satisfaction, experiences of daily stress, and number of friends one has simultaneously
C number of friends one has and experience of daily stress
D number of friends one has and life satisfaction
Question #23
RESEARCH STUDY 8.1: Dr. Guidry conducts a study examining the relationship between the number of friends one has and the experience of daily stress and life satisfaction. She randomly samples 1,500 elderly men and women in Nashville, Tennessee (the state capital), located in the southern United States. Below are her findings:
• Life satisfaction and experience of daily stress: r = –.57, 95% CI [–.77, –.37]
• Number of friends one has and experience of daily stress: r = .09, 95% CI [–.27, .45]
• Number of friends one has and life satisfaction: r = .36, 95% CI [.12, .60]
Considering Dr. Guidry’s sample, which of the following statements is true?
A The association found in her study could probably generalize to people living in other capital cities (e.g., Sacramento, California).
B The association found in her study could probably generalize to elderly persons living in nursing homes.
C The association found in her study could probably generalize to young adults.
D The association found in her study could probably generalize to elderly people in other large cities in the South.
Question #24
RESEARCH STUDY 8.1: Dr. Guidry conducts a study examining the relationship between the number of friends one has and the experience of daily stress and life satisfaction. She randomly samples 1,500 elderly men and women in Nashville, Tennessee (the state capital), located in the southern United States. Below are her findings:
• Life satisfaction and experience of daily stress: r = –.57, 95% CI [–.77, –.37]
• Number of friends one has and experience of daily stress: r = .09, 95% CI [–.27, .45]
• Number of friends one has and life satisfaction: r = .36, 95% CI [.12, .60]
Dr. Guidry finds that the relationship between the number of friends one has and life satisfaction is stronger for men than for women. In this study, gender (male or female) is considered a(n)
A cause.
B moderator.
C outlier.
D spurious variable.
Question #25
A longitudinal
B cross-lag correlations
C cross-sectional
D autocorrelational
Question #26
A null effect.
B restriction of range.
C spurious data.
D an outlier effect.
Question #27
A The effect size should be considered, but tests of statistical significance should not.
B The findings should be replicated in another population.
C The study must be done again using the same participants.
D The association should be rejected as inconclusive.
Question #28
A mediation
B third variables
C controlling variables
D moderation
Question #29
A The third variable must be related to both of the measured variables in the original association.
B The third variable must be a categorical variable.
C The third variable must be measured on the same scale as the original measured variables.
D The third variable must have a positive relationship with the two measured variables in the original association.
Question #30
A He should find that the interval is wider for his second study.
B He should find that the interval contains a zero for his first study.
C He should find that the interval contains a zero for his second study.
D He should find that the interval is wider for his first study.
Question #31
A both betas and correlation coefficients can tell you something about the strength of a relationship.
B both betas and correlation coefficients can tell you something about the direction of a relationship.
C betas from an analysis can be compared with other beta coefficients from the same analysis just as correlation coefficients can.
D betas describe the relationship between two variables exactly as correlations coefficients do.
Question #32
A predictor.
B mediator.
C moderator.
D criterion.
Question #33
A running another correlational study but with more people
B specifying a mechanism or explanation for the causal relationship
C replicating all of the original studies
D examining the dates of the studies to look for temporal precedence
Question #34
A The 95% CI for that beta does not contain zero.
B The 95% CI for that beta is not significant.
C The 95% CI for that beta contains zero.
D The 95% CI for that beta indicates a positive association.
Question #35
A control
B dependent
C predictor
D independent