Psychology 200 - Research Methods for Psychology » Fall 2022 » Module 5 Quiz

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Question #1
A criterion variable is also known as a(n) ________ variable.
A.   control
B.   independent
C.   dependent
D.   predictor
Question #2
A regression table in an empirical journal article includes columns for betas and p values. What can you determine from p values that are less than .05?
A.   The 95% CI for that beta does not contain zero.
B.   The 95% CI for that beta indicates a positive association.
C.   The 95% CI for that beta is not significant.
D.   The 95% CI for that beta contains zero.
Question #3
A researcher has examined a variety of correlational studies that point to a causal relationship between two variables. All of the studies have found a positive relationship between the two variables, but for ethical reasons, no experiments have been conducted. Using an approach of pattern and parsimony, the researcher may begin to make a causal claim by doing which of the following?
A.   examining the dates of the studies to look for temporal precedence
B.   replicating all of the original studies
C.   specifying a mechanism or explanation for the causal relationship
D.   running another correlational study but with more people
Question #4
A variable that explains the association between two other variables when the condition of temporal precedence has been established is a(n)
A.   predictor.
B.   mediator.
C.   criterion.
D.   moderator.
Question #5
All of the following are true of betas and correlation coefficients EXCEPT
A.   betas from an analysis can be compared with other beta coefficients from the same analysis just as correlation coefficients can.
B.   both betas and correlation coefficients can tell you something about the strength of a relationship.
C.   both betas and correlation coefficients can tell you something about the direction of a relationship.
D.   betas describe the relationship between two variables exactly as correlations coefficients do.
Question #6
Dr. Tung is investigating the association between smartphone use and mindless eating. In his first study with a sample size of 25 college students, he finds r = .32. In his second study with a sample size of 100 college students, he finds r = .31. With all else equal, which of the following should Dr. Tung expect to find in terms of 95% CI in his two studies?
A.   He should find that the interval contains a zero for his first study.
B.   He should find that the interval is wider for his second 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 #7
For a third variable to be plausible as the explanation in an established association, which of the following must also be true?
A.   The third variable must be measured on the same scale as the original measured variables.
B.   The third variable must be a categorical variable.
C.   The third variable must have a positive relationship with the two measured variables in the original association.
D.   The third variable must be related to both of the measured variables in the original association.
Question #8
If a researcher is asking why the relationship between two variables exists, they are curious about which of the following?
A.   controlling variables
B.   mediation
C.   third variables
D.   moderation
Question #9
If an association study did not select people for the study by using random sampling, which of the following statements is true?
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 association should be rejected as inconclusive.
D.   The study must be done again using the same participants.
Question #10
If there is very little variance on one of the variables, this is known as
A.   restriction of range.
B.   spurious data.
C.   an outlier effect.
D.   null effect.
Question #11
Jennifer is a developmental psychologist who studies changes over time in intelligence by studying the same people at ages 16, 22, and 30. What type of research design is she using?
A.   cross-lag correlations
B.   autocorrelational
C.   cross-sectional
D.   longitudinal
Question #12
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.   outlier.
B.   moderator.
C.   spurious variable.
D.   cause.
Question #13
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 young adults.
C.   The association found in her study could probably generalize to elderly persons living in nursing homes.
D.   The association found in her study could probably generalize to elderly people in other large cities in the South.
Question #14
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 has decided to examine one of her relationships with a scatterplot to double-check for a curvilinear relationship. Which relationship will be most important for her to examine?
A.   number of friends one has and experience of daily stress
B.   life satisfaction and experience of daily stress
C.   life satisfaction, experiences of daily stress, and number of friends one has simultaneously
D.   number of friends one has and life satisfaction
Question #15
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.   random.
C.   outliers.
D.   moderators.
Question #16
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.   the number of outliers and the direction of the association
B.   sample size and number of variables analyzed
C.   sample size and effect size
D.   direction of the association and strength of the association
Question #17
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.   spurious variable.
B.   moderator.
C.   outlier.
D.   cause.
Question #18
RESEARCH STUDY 9.3: Dr. Cheong is a clinical psychologist who is curious about how people deal with natural disasters (e.g., hurricanes, tornados, earthquakes). His previous research suggests that there is a relationship between how much people feel their emotional well-being was affected by the natural disaster and their likelihood of developing posttraumatic stress disorder (PTSD) symptoms. However, he is curious as to whether the effect of emotional well-being occurs because people receive different levels of social support. He conducts a study in which he asks 174 men and women affected by Hurricane Sandy (2012) to report on how their well-being was affected by the hurricane, the social support felt after the storm, and the number of PTSD symptoms. Dr. Cheong finds support for his proposed relationship. However, in examining his data more closely, he finds that the relationship between emotional well-being and PTSD symptoms is stronger for men than for women. Dr. Cheong’s finding that the relationship between emotional well-being and PTSD symptoms is stronger for men than for women suggests which of the following?
A.   participant gender is a mediating variable.
B.   emotional well-being is a mediating variable.
C.   participant gender is a moderating variable.
D.   emotional well-being is a moderating variable.
Question #19
Statistical significance depends on which of the following?
A.   number of outliers and direction of the association
B.   sample size and number of variables analyzed
C.   sample size and effect size
D.   direction of the association and strength of the association
Question #20
Such topics as the link between media and aggression and smoking and lung cancer have been studied with a variety of methods and by a variety of researchers and have all reached similar conclusions. This is an example of which of the following?
A.   third variable problems
B.   multiple-regression designs
C.   hypothesis generation
D.   pattern and parsimony
Question #21
The temporal precedence criterion is also known as the ________ problem.
A.   third variable
B.   directionality
C.   association
D.   covariance
Question #22
When bivariate association claims do not meet the criteria of temporal precedence and internal validity, this means that ________ cannot be ________.
A.   hypotheses; tested
B.   covariance; established
C.   causal inferences; made
D.   construct validity; interrogated
Question #23
When conducting longitudinal research, researchers typically find ________ to be the most interesting.
A.   cross-sectional correlations
B.   cross-lag correlations
C.   multivariate correlations
D.   autocorrelations
Question #24
When examining an association claim using a bar graph, an association is indicated by which of the following?
A.   the direction of the bars
B.   the number of bars in the graph
C.   the number of observations that make each bar
D.   a difference in the height between the bars
Question #25
When examining an association in which one variable is categorical and one is quantitative, which of the following is most likely to be used?
A.   a bar graph
B.   a scatterplot
C.   a curvilinear association
D.   an outlier
Question #26
When examining the results of a multiple regression, which of the following should be compared to determine which predictor variables have the largest relationship to the criterion variable?
A.   effect sizes
B.   b values
C.   beta values
D.   significance values
Question #27
Which of the following correctly explains the relationship between a moderator and a spurious association?
A.   They are different: A moderator indicates the association is not 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 the same: A moderator indicates that the association is spurious.
Question #28
Which of the following does NOT depict a statistically significant association?
A.   r = .32, 95% CI [.03, .61]
B.   r = -.44, 95% CI [–.32, –.56]
C.   r = .26, 95% CI [–.08, .60]
D.   r = –.28, 95% CI [–.06, –.50]
Question #29
Which of the following is a necessary component of a longitudinal design?
A.   measuring at least four variables at one time
B.   measuring the same variables at two points in time
C.   manipulating a variable at two points in time
D.   measuring different age groups at two different times
Question #30
Which of the following is most likely to be included in popular media articles describing a study that used multiple regression?
A.   The phrase “controlled for” when describing the findings.
B.   A table with the betas and their confidence intervals.
C.   A list of the specific criterion variables used.
D.   A list of the specific predictor variables used.
Question #31
Which of the following is true about large effect sizes in an association claim?
A.   All else being equal, there will be greater likelihood of establishing construct validity.
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 a finding being important in the real world.
Question #32
Which of the following is true of the relationship between effect size and statistical significance?
A.   Larger effect sizes are advantageous for statistical significance.
B.   Effect size and statistical significance are synonymous terms.
C.   Statistical significance alone is sufficient to indicate effect size.
D.   An association’s effect size has no effect on statistical significance.
Question #33
Which of the following studies is an example of a longitudinal design?
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. 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
C.   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
D.   Dr. Tutola’s study in which he measured the daily stress of a group of married men and the daily happiness of their spouses
Question #34
Which of the following symbols would indicate that you are reading results from a multiple-regression analysis?
A.   r
B.   p
C.   d
D.   b
Question #35
Why is it problematic when journalists report only on a single study?
A.   It can make journalists look bad.
B.   It can lead people to value one study over decades of previous research.
C.   It can cause people to interrogate a study’s validities.
D.   It can lead people to think journalists are scientists.

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