Exam 2 Flashcards

1
Q

Response bias

A

tendency of survey respondents to answer questions in a particular directions resulting in biased or distorted data

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2
Q

Why might response bias occur?

A

Participant perceptions
Experimenter expectancies

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3
Q

Cross-cultural psychology

A

seeks to determine whether research results in psychology are universal across culture (etic) or culture-specific (emic)

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4
Q

Ways to increase the generalizability of data across cultures

A

Translate questions and surveys
Recruit and enroll a representative sample group

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5
Q

Internal Validity

A

the extent to which you can be confident that a cause and effect relationship cannot be explained by other factors

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6
Q

9 Threats to internal validity

A

history
maturation
testing
instrumentation
statistical regression
selection
“mortality”
diffusion or imitation of treatment
interactions with selection

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7
Q

External Validity

A

the extent to which the results can be generalized to other contexts, settings, and situations beyond the specific context of the present research; may be used interchangeably with generalizability

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8
Q

Generalizability

A

the extent to which results can be applied to a broader population based on the chosen sample; may be used interchangeably with external validity

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9
Q

Threats to external validity

A

Interaction of testing and treatment (due to methods)
Reliance on college students or white rates
Lack of focus on understanding minority groups (ethnocentrism)

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10
Q

Descriptive statistics

A

summarizes/characterizes data

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11
Q

Inferential statistics

A

helps us draw conclusions about research

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12
Q

Scales of measurement

A

nominal
ordinal
interval
ratio

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13
Q

Nominal scale

A

categories with labels; not ordered

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14
Q

Ordinal scale

A

order; difference cannot be quantified

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15
Q

Interval scale

A

order; exact difference between values

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16
Q

Ratio scale

A

interval scale + absolute zero

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17
Q

Mean

A

average

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18
Q

Median

A

splits distribution in half

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19
Q

Mode

A

value that occurs most often

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20
Q

Range

A

difference between largest and smallest scores

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21
Q

Standard Deviation

A

measures dispersion of data relative to its mean

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22
Q

Variance

A

total amount of variability

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23
Q

Variability

A

the spread around the mean

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24
Q

What is the difference between a bar graph and a histogram?

A

bar graphs represent qualitative data
histograms represent quantitative data

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25
To infer things about the population from which our sample was drawn, we must
conduct significance testing
26
Null hypothesis
states there will be no difference between groups or no relationship between variables
27
Experimental Hypothesis
states the stated expected difference between groups or relationship between variables can be directional/non-directional
28
Type I error
falsely accepting the experimental hypothesis/incorrectly rejecting the null hypothesis there is no difference between groups but results show there is
29
Type II error
falsely rejecting the experimental hypothesis/incorrectly accepts a null hypothesis there is a difference between groups but the results show there is not
30
What does a statistically significant result mean?
findings would occur rarely due to chance alone, and are likely due to the IV
31
What tells us the significance?
P-value (< .05 is a threshold for statistical significance)
32
Effect size
represents the strength and magnitude of differences regardless of significance
33
Correlation coefficient
statistic of the strength and direction of a linear relationship between two continuous variables
34
Perfect positive correlation
as the scores of one variable increase, the scores of the other variable increase proportionally
35
Perfect negative correlation
as the scores of one variable increase, the scores of the other variable decrease proportionally
36
Zero correlation
as the scores of one variable increase, the scores of the other either increases, decreases, or stays the same without a significant pattern
37
T-test
used to evaluate the difference between the means of two groups
38
Levels of IV
differing amounts or types of IV in a study
39
True Experiment
experimenter directly manipulates IV
40
Ex post facto study
researcher does not manipulate IV, but they can classify or measure the IV because it is preexisting in participants (e.g. gender)
41
Independent groups
created by random assignment or naturally occurring differences in groups
42
Between-subject comparison
contrast between groups that were randomly assigned, or when different participants were classified in different groups
43
Within-subject comparison
a contrast between groups formed of matched pairs, natural pairs, or repeated measures
44
Matched-pairs
participants measured and equated on some variable before experiment
45
Natural pair
naturally occurring pairs such as twins, couples, siblings
46
Repeated measures
the same participants are assessed more than once
47
Ethics in Psychological Research
warrented due to historical incidents of research that were problematic and unethical (e.g. Tuskegee syphilis project)
48
Aside from the physical harm to participants, what has been an unfavorable outcome of unethical experiments that remains an issue today?
cause a great distrust and skepticism in science among the public, especially those of marginalized backgrounds/identities whom were often the participants of these studies
49
How to ensure a study is ethical?
IRB Cost-Benefit Analysis Obtaining Informed Consent
50
Deception
deliberately mislead participants about the nature of the study not fully disclosing all aspects of the study
51
Debriefing
participants are informed about the research question and it is explained why deception was necessary
52
Operation definitions
definitions of variables in terms of the operations needed to produce them needed for replication by other researchers
53
Internal Validity - History
if historical events that may affect the DV occurs between two measures
54
Internal Validity - Maturation
if participants change simply due to the passage of time
55
Internal Validity - Testing
if participants respond differently because they have been tested before
56
Internal Validity - Instrumentation
if instruments or observers change
57
Internal Validity - statistical regression
extreme scores that alter the mean
58
Internal Validity - selection
if groups are selected in a non-equivalent way
59
Internal Validity - "Mortality"
if people drop out at different rates for different conditions
60
Internal Validity - Diffusion of treatments
if participants copy responses from other groups
61
Internal Validity - Interaction with Selection
if groups show differences in another variable
62
Ethnocentrism
reliance on W.E.I.R.D. populations (western, educated, industrial, rich, democratic)
63
The normal distribution is represented by
a bell curve
64
Why is setting a baseline so important?
the critical comparison is between the level of symptoms scores reported during phase A and the level of scores or observations during phase B
65
Positive Illusions
people rate themselves differently than they rate others/general population