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If an association study did not select people for the study by using random sampling, which of the following statements is true?


A) The association should be rejected as inconclusive.
B) The study must be done again using the same participants.
C) The effect size should be considered, but tests of statistical significance should not.
D) The findings should be replicated in another population.

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If a person is asking whether the variables in an association claim are measured appropriately, is being interrogated.


A) construct validity
B) external validity
C) internal validity
D) statistical validity

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When examining an association in which one variable is categorical and one is quantitative, which of the following is NOT likely to be used?


A) A t test
B) A correlation
C) A scatterplot
D) A bar graph

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A study finds a correlation coefficient of r = .52 and reports p < .05.The p value indicates which of the following?


A) The correlation is negative.
B) The correlation is unlikely to have come from a zero association population.
C) The correlation is not statistically significant.
D) The effect size is large.

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RESEARCH STUDY 8.2: Dr.Moynihan conducts a study examining the relationship between the number of panic attacks a person experienced in the past month, the number of nightmares experienced in the past month, and people's levels of neuroticism (a personality trait characterized by instability, anxiety, and worry).She collects a convenience sample of 50 community college students (25 males, 25 females).Below are her findings. • A (number of panic attacks in the past month and neuroticism): r = .03, not sig. • B (number of panic attacks in the past month and number of nightmares in the past month): r = .14 (p = .05) • C (number of nightmares in the past month and neuroticism): r = .48 (p = .003). Of the three findings in Dr.Moynihan's study, which finding has the largest effect size? Name two things that having a large effect size means.

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The finding that has the largest effect ...

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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 (p = .01) • Number of friends one has and experience of daily stress: r = .09, not sig. • Number of friends one has and life satisfaction: r = .36 (p = .04) 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) random
B) moderators
C) outliers
D) curvilinear scores

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What is the relationship between moderators and external validity?


A) Moderators suggest that associations may be spurious.
B) Moderators suggest that associations may not generalize to all subgroups of people.
C) Moderators are necessary for external validity to be established.
D) Moderators suggest that an association between two variables will extend to another variable.

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If there is not a full range of scores on one of the variables, this is known as .


A) spurious data
B) an outlier effect
C) restriction of range
D) null effect

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Why are curvilinear relationships hard to detect with correlation coefficients (r) ?


A) Curvilinear relationships require a large amount of scores.
B) r always looks for the best straight line to fit the data.
C) r always assumes a zero association.
D) r always assumes a negative relationship.

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RESEARCH STUDY 8.2: Dr.Moynihan conducts a study examining the relationship between the number of panic attacks a person experienced in the past month, the number of nightmares experienced in the past month, and people's levels of neuroticism (a personality trait characterized by instability, anxiety, and worry).She collects a convenience sample of 50 community college students (25 males, 25 females).Below are her findings. • A (number of panic attacks in the past month and neuroticism): r = .03, not sig. • B (number of panic attacks in the past month and number of nightmares in the past month): r = .14 (p = .05) • C (number of nightmares in the past month and neuroticism): r = .48 (p = .003). What is an outlier? What aspect of Dr.Moynihan's study makes her findings especially susceptible to outliers? Why is this a problem?

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Outliers are extreme scores. Dr. Moyniha...

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A study finds a correlation coefficient of r = .52 and reports p < .05.The p is a .


A) population value
B) possibility assessment
C) probability estimate
D) plausible significance approximation

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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 (p = .01) • Number of friends one has and experience of daily stress: r = .09, not sig. • Number of friends one has and life satisfaction: r = .36 (p = .04) 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.Which of the following statements is NOT true?


A) These scores may have strengthened the correlation between these two variables.
B) These scores are more likely to have an effect because of the large sample size.
C) These scores are more likely to have an effect because they are extreme on both variables.
D) These scores may be considered outliers.

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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 (p = .01) • Number of friends one has and experience of daily stress: r = .09, not sig. • Number of friends one has and life satisfaction: r = .36 (p = .04) Considering Dr.Guidry's sample, which of the following statements is true?


A) The association found in her study could probably generalize to young adults.
B) The association found in her study could probably generalize to elderly people in other large cities in the South.
C) The association found in her study could probably generalize to people living in other capital cities (e.g., Sacramento, California) .
D) The association found in her study could probably generalize to elderly persons living in nursing homes.

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When interrogating the construct validity of an association claim, which of the following statements is true?


A) Quantitative variables need to be assessed, but qualitative variables do not.
B) The reliability of the measures is more important than their validity.
C) How each variable was measured must be considered.
D) Only the construct validity of the outcome variable needs to be interrogated.

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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 (p = .01) • Number of friends one has and experience of daily stress: r = .09, not sig. • Number of friends one has and life satisfaction: r = .36 (p = .04) 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) Life satisfaction and experience of daily stress
B) Number of friends one has and experience of daily stress
C) Number of friends one has and life satisfaction
D) Life satisfaction, experiences of daily stress, and number of friends one has simultaneously

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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 (p = .01) • Number of friends one has and experience of daily stress: r = .09, not sig. • Number of friends one has and life satisfaction: r = .36 (p = .04) 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, sex (male or female) is considered a(n) :


A) outlier.
B) cause.
C) moderator.
D) spurious variable.

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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 (p = .01) • Number of friends one has and experience of daily stress: r = .09, not sig. • Number of friends one has and life satisfaction: r = .36 (p = .04) Which of the following conclusions can Dr.Guidry draw about the number of friends one has and life satisfaction based on her statistical analyses?


A) The probability of her sample coming from a zero association population is about 4%.
B) The probability of her sample coming from a zero association population is about 96%.
C) The relationship is not statistically significant.
D) The strong correlation means that the number of friends one has causes an increase in life satisfaction.

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Martin has found a correlation of r = .18 between the two variables of using prescription stimulants (e.g., Adderall) and frontal lobe activity.This correlation is more likely to be statistically significant if:


A) the study can be applied to the real world.
B) Martin used a larger number of subjects.
C) Martin measured frontal lobe activity extremely accurately.
D) Martin's measure of prescription stimulant use is categorical.

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