PSY230 Final Flashcards

1
Q

Null hypothesis

A

no relationship between the populations ad the sample reflects the only error

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2
Q

Type 1 error-

A

false positive results are statistically significant yet no real effect

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3
Q

Type 2 error-

A

false negative concludes that their results are not significant

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4
Q

Sample-

A

Very small portion of the population the researcher wants to study

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5
Q

Random-

A

the sample is recruited by population subgroups

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6
Q

Convenience-

A

sample consists of people who happen to be easily available and willing to participate

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7
Q

Cluster-

A

larger clusters of people are randomly sampled and then people in those clusters are randomly sampled

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8
Q

Stratification-

A

basic variabilities within a population (hit a quota)(cohort)

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9
Q

Population-

A

Very big group of people who researchers are drawing conclusions and samples from

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10
Q

Reliability-

A

consistency of a measure

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11
Q

Test Retest-

A

researcher measure a construct that they assume to be consistent across time

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12
Q

Split Half-

A

score from splitting the items into two examining the relationship of them to find the consistency of a measure

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13
Q

Interader-

A

extent to which different observers are consistent in their judgment

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14
Q

Validity-

A

test measures what it purports to measure

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15
Q

Construct-

A

variables that represent an individual’s mental state or experience, often observable

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16
Q

Convergent-

A

criterion validity where new measures are correlated with existing measures of same construct

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17
Q

Criterion-

A

peoples scores are correlated with other variables

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18
Q

Divergent

A
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19
Q

Content-

A

with a measure reflects all aspects of the construct of interest

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20
Q

Primary data

A
21
Q

Secondary data

A
22
Q

Replication

A
23
Q

Statistics-

A

Bunch of math using logic analysis to draw conclusions

24
Q

Mistake=

A

Random error

25
Q

Scales of measurement (NOIR)

A

Nominal, Ordinal, Interval, Ratio

26
Q

Nominal-

A

A measurement used for categorical variables and involves assigning scores that are category labels.

27
Q

Ordanil-

A

A measurement that involves assigning scores so that they represent the rank order of the individuals.

28
Q

Interval-

A

A measurement that involves assigning scores using numerical scales in which intervals have the same interpretation throughout.

29
Q

Ratio-

A

A measurement that involves assigning scores in such a way that there is a true zero point that represents the complete absence of the quantity.

30
Q

Measurements of control

A
31
Q

Inferential vs dose st

A
32
Q

Distributions-

A

the way scores are spread across levels of a variable

33
Q

Normal-

A

data in the middle

34
Q

Skewed-

A

data is shifted one way with a long tail going the other direction

35
Q

Univariable analysis-

A

1 variable

36
Q

Correlation coefficient-

A

strength and direction of the two variables relationships

37
Q

Positive-

A

plus 1

38
Q

Negative-

A

negative 1

39
Q

Coding-

A

structured observation where observers use guidelines to “code” behaviors, assigning them to a category

40
Q

Hawthorne effect-

A

just being observed makes people perform differently and better

41
Q

Durkheim-

A

one of the first research monographs (on suicide)

42
Q

Data scraping-

A

taking information from a text and important into a research program

43
Q

Blinding -

A

if they don’t know they can bias their judgment

44
Q

Power and sample size-

A

bigger sample more information you learned greater options, smaller sample less information less options

45
Q

Qualitiatvie

A
46
Q

Quantitative

A
47
Q

Peer review-

A

processes of reviewing voluntary with others

48
Q

Standardization-

A

repetition/ set rules to follow/ keep the same

49
Q
A