Final Exam Flashcards

1
Q

A psychologist is studying the effect of eating ice cream on memory performance. She assigns participants into groups that eat 1, 2, or 3 scoops one hour before they all take a memory test. What term best describes the role of “scoops of ice cream” in this study?

A

independent variable

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2
Q

Sum of Squares (SS)

A

Σ(X –M)^2

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3
Q

Variance (SD^2)

A

SD^2 = SS/N

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4
Q

Standard Deviation (SD)

A

square root of variance

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5
Q

To be scientific, a theory must be testable. This means the theory must be

A

falsifiable

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6
Q

A researcher expects that baboon mothers are generally more protective of their female offspring than their male offspring. When the researcher observes baboons in the wild, he focuses more of his attention on the mother-with-female offspring interactions, and takes more detailed notes, than when witnessing mother-with-male offspring interactions. Follow-up analysis demonstrated that the experimenter’s increased attention to mother-with-female offspring interactions actually caused the mothers to behave in a more protective way. Which of the following problems is evident?

A

Experimenter reactivity, experimenter bias

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7
Q

Where does a Cohen’s d effect size of -1.39 fall in terms of Jacob Cohen’s suggested conventions?

A

Large

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8
Q

What’s the point of Geoff Cumming’s slogan about a confidence interval, “It might be red!”?

A

It might not capture the true population mean from which the sample was drawn

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9
Q

In psychological research, a fact is something that can be precisely and objectively measured, like the diameter of the circles drawn in a sociogram. A ____ is the term for an inferred state/characteristic, something that can’t be directly measured, such as intelligence, anxiety, implicit self-inflation

A

construct

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10
Q

Which of the following is necessary to establish causation?

A

Alternative explanations have been ruled out, Covariation of the events, A time-order relationship

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11
Q

A particular standardized test has a population mean score of 75 and standard deviation of 7.5, and the scores are normally distributed. If a person’s score places them at the 5th percentile on this test (from the bottom), what is this person’s score?

A

z*σ + x

Score = (-1.64*7.5) + 75 = -12.3 + 75 = 62.7

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12
Q

The median is typically a better measure of central tendency than the mean in which of the following cases?

A

the distribution is highly skewed

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13
Q

Which of these describes the shape of a frequency distribution that has clearly been affected by a ceiling effect?

A

negatively skewed, skewed left

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14
Q

The results of a study measuring reaction time in response to a stimulus show a mean of 3.50 seconds and a standard deviation of 1.30 seconds. This allows us to calculate that a participant with a Z-score of +1.5 took ___ seconds to respond to the stimulus

A

score = z*σ + x

1.5(1.3) + 3.5 = 5.45

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15
Q

Which of these is a Z-score you would use if conducting a two-tailed Z test with an alpha level of 0.01?

A

2.58

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16
Q

A Z-score of 2.53 means that the score is ________

A

2.53 standard deviations above the mean

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17
Q

When there is no actual difference between the populations being studied, but the researcher rejects the null hypothesis, what kind of statistical decision error has occurred?

A

Type 1, false positive

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18
Q

If a measurement instrument gives consistent scores, the technical term we use to describe this is

A

reliability

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19
Q

The accuracy or goodness of an instrument’s functioning is referred to by the technical term

A

validity

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20
Q

When interpreting a boxplot, what does the top of the box tell you?

A

the 75th percentile score

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21
Q

By holding constant the content of an email, but randomly assigning professors to see one of 10 different types of names for the sender (suggesting different gender/race identities), what type of validity did Katherine Milkman strengthen?

A

internal & construct

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22
Q

A researcher is interested in children’s performance on a novel task after the 30 children from one classroom are randomly assigned to one of two groups: Group 1 children pretend to do the task (n = 15), while Group 2 children actually do the task (n = 15). Which of the following tests should the researcher use?

A

t-test for independent means

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23
Q

What does a very small p value, say p < .0001, tell you about the effect size of a study?

A

It tells you nothing about the effect size

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24
Q

power is the probability that…

A

if the research hypothesis is true, the experiment will support it.

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25
Q

When figuring the pooled population variance estimate in a t test for independent means,

A

the variance estimates based on each of the samples are averaged in such as way as to give more influence to the estimate based on more participants

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26
Q

A sample of children who scored highly on a measure of depression were given an energy drink once a day for one week. Three months later, their scores on the depression measure averaged significantly lower. The researcher concluded that the energy drink intervention was promising for reducing depression.

Which major type of confound (from among the nine we’ve studied) is most threatening to this researcher’s budding belief that the energy drink intervention is reducing depression?

A

regression to the mean

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27
Q

How do we best ensure high interrater reliability?

A

Randomly check 20% of their ratings

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28
Q

Which random assignment approach is best to use when sample sizes available for experimental conditions are small? The

A

matched

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29
Q

Professor Smyth once taught Intro to Social Psychology at 6pm on Tuesdays and Thursdays. He noticed that his students were far more likely to miss on Thursdays and he wondered whether his Thursday attendance rate was significantly different from the University’s overall attendance rate for Thursday classes. Fortunately, he was able to obtain the mean UVA Thursday attendance rate from University administrators. Which of the following tests would be most appropriate for his question?

A

Single sample t test

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30
Q

A t distribution for df = 20 will have ____ tails compared to the Z distribution, so the cut off scores for that t distribution will be ____ .

A

fatter; more extreme

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31
Q

A medical researcher hypothesizes an effect of half a standard deviation reduction (d = -0.5) in cancer cell growth from a new drug. He conducts a power analysis which indicates that a control group with N=100 and a treatment group with N=100 will yield 100% power. Using these sample sizes, the study was then executed perfectly with a double-blind design, but a statistically significant effect of the drug was not found. Which of the following is the most likely explanation for the inconclusive result?

A

The drug’s effect is probably smaller than hypothesized

32
Q

Random sampling improves a study’s ___ validity.

A

external

33
Q

When estimating the population variance (S2) of difference scores in a t test for dependent means, we _____

A

divide the SS by N-1

34
Q

What are the total degrees of freedom, df, for an independent means t test with total N = 467?

A

465

35
Q

The variance of a sample is a “biased” estimate of the population variance because…

A

the sample is generally less variable than the population

36
Q

Which of the following is true for both the t test for independent means AND the t test for dependent means?

A

the population means are unknown, the sample scores (in some form) are eventually compared to a t distribution, population variances are estimated from the information in the sample of scores actually studied.

37
Q

In actual practice, the usual reason for determining power before conducting a study is

A

to determine the number of participants needed to have a reasonable level of power.

38
Q

Which of the following is a consequence of increasing the sample size of a study?

A

Reduced false negative error rate, Reduced standard error

39
Q

Which one of the following correctly completes this statement: “The larger the sample size, _____

A

the higher the power.”

40
Q

When conducting a planned contrast of two groups after finding a significant omnibus ANOVA result with three or more groups, which of these statistics must be recomputed?

A

The grand mean, SSbtwn, DFbtwn, the observed F value

41
Q

This graph shows the effects of three variables on a math test: gender (participants self-identified as female or male), strength of personal gender identification (relatively low or relatively high), and, by random assignment, whether or not gender identity was relevant to math performance (that is, half of participants were told that examining the relationship between gender and math performance was a focal point of the study, and half were not told this).

The highest level of research design constraint used in this study is _____.
As seen in the graph, there is not a simple answer to the question, “What is the effect of gender identity relevance on the math test scores of men and women?” Rather, the answer depends on whether participants’ gender identification is low or high. In this case, strength of gender identification, low or high, would be referred to as a ____ variable

A

experimental, moderator

42
Q

You have conducted an Analysis of Variance of six groups that revealed a significant F value. Now you would like to test the significance of each of the possible pairwise comparisons. With one sentence, describe the purpose of applying the Bonferroni procedure as you make the comparisons.

A

The Bonferroni procedure allows setting more conservative (lower) alpha levels for each test so that the family-wise false positive rate can be maintained at a standard level, e.g., .05 or .01.

43
Q

In what way(s) are t-tests and ANOVAs similar?

A

We do not know the true population variance, We assume all populations have the same variance, We can estimate the variance of each population from the sample scores.

44
Q

Which of these is the recommended first step of data analysis?

A

Look at the data using graphical techniques

45
Q

Which of the following is true for F-tests?

A

F-tests are used to determine if three or more groups come from the same underlying population, The critical-F for a given alpha varies according to numerator and denominator degrees of freedom, F-tests cannot tell you the direction of a significant effect

46
Q

In regression, the baseline error (SSTotal) in the prediction of your criterion variable, Y, is derived from deviations of Y scores from

A

the mean of Y

47
Q

What does a statistically significant p-value indicate for a correlation coefficient?

A

The correlation is probably not zero.

48
Q

This table gives the multiple regression results for the prediction of Age of Menarche (first menstrual period). Put into words the meaning (specific interpretation) of the standardized multiple regression estimate for the effect of “harshness of early environment” in the context of this analysis.

A

With other predictors equal (or “accounted for” or “held constant”), a 1-standard deviation increase in the harshness of early environment predicts a 0.15-standard deviation decrease in age of menarche onset.

49
Q

For one variable, which value results in the smallest sum of squares?

A

mean

50
Q

The F-distribution is a heap of what sort of numbers?

A

RATIOS

51
Q

If a variable’s range is restricted in your study, the strength of its correlation with another variable of interest is likely to be _______ than is true in the population.

A

lower

52
Q

if there are a few extreme outliers in an equal-interval, continuous variable, which is usually the best measure of central tendency?

A

median

53
Q

i would expect the correlation between students’ scores on exam 3 and scores on the final exam in this class to be closest to…

A

0.5

54
Q

which of these was NOT among the “troubling trio” of study characteristics cited in 2015 in an editorial by the editor of Psychological Science?

A

a null result

55
Q

what does it mean to say that something is significant at the p<.05 level?

A

this result would occur less than 5% of the time if the null is true

56
Q

which Z score is legitimate and has the greatest magnitude?

A

-5.3

57
Q

what percentile ranking would a z-score of -2.0 correspond to (roughly)?

A

2%

58
Q

in an ANOVA, if the null hypo is true, then…

A

there is less variance among means of samples than if the null hypo were not true

59
Q

“Horse NUMBER 5 came in 2ND PLACE in the race, with a time of 57 SECONDS” what is the type of data corresponding to each of these 3 numbers?

A

nominal, ordinal, ratio

60
Q

if the score for your sample was -3.8, and the critical cutoff scores were -2.0 and +2.0 when testing with alpha = .05, then you would:

A

reject the null

61
Q

what is the definition of the comparison distribution?

A

the sampling distribution you would get if the null hypothesis is TRUE

62
Q

type 1 error is defined as…

A

rejecting the null when you should have failed to reject the null

63
Q

holding all else constant, as the DF decrease, the critical cutoff score…

A

gets more extreme (further from middle)

64
Q

if a planned study has estimated power of .05, would this be considered “good power” and proceeding with the study would be advised?

A

probably no

65
Q

the minimum number of studies necessary for a meta-analysis…

A

is 2

66
Q

in a study comparing the means of 2 samples, what measure of effect size would you typically use?

A

d

67
Q

you make up a new scale, and you are pretty sure that it measures what it’s supposed to be measuring. another way to say this is that your scale has good

A

construct validity

68
Q

what is NOT true about the standard regression equation when you have 1 predictor?

A

Beta B is always the same as b

69
Q

if your unstandardized regression equation for sweet tooth (X) predicting candy liking (Y) is Yhat = 6.7 + .25X. this means:

A

with every one unit increase in sweet tooth we expect a .25 unit increase in candy liking

70
Q

if you increase the alpha (p-value) of your significance test (from .05 to .10):

A

type 1 error (false positive) rate gets bigger

71
Q

increasing the effect size is one way to increase power because:

A

it makes the score in your sample likely to be more extreme (step 4)

72
Q

according to “Scientific Utopia,” which of these is an ineffective strategy for preventing false results?

A

conceptual replication & raising the barrier for publication

73
Q

when you do the 5 steps of hypothesis testing to test the significance of a correlation:

A

you use a t-table distribution

74
Q

if you calculated PRE and it was -.32, this means:

A

you did something wrong in your calculation

75
Q

I think the dogs on my block are unusually long and I want to test this hypothesis. I know the population mean of dog lengths from wiki, but not the SD. What do I do?

A

single sample t test

76
Q

which of these is NOT one of Nosek & Bar-anan’s “Utopia I” recommendations for changing scientific communication?

A

anonymous peer review