Study Guide Flashcards

1
Q

Moderation

A

influences a situation either positively or negatively

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2
Q

Mediation

A

explains the relationship; critical for relationship

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3
Q

t-test

A

statistical test used to determine if there is a significant difference between the mean or average scores of two groups

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4
Q

Positive correlation

A

as one variable increases so does the other

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5
Q

Negative correlation

A

as one variable increases the other decreases

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6
Q

correlation coefficient

A

describes the direction (+ or -) and degree (strength) of relationship b/w 2 variables

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7
Q

Regressions

A

predicts the relationship b/w variables

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8
Q

between subjects design

A

different people test each condition so that each person is only exposed to a single user interface

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9
Q

within subjects design

A

a type of design in which all participants are exposed to every treatment of condition

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10
Q

matched pairs design

A

when you have different participants in 2 different conditions, but you match them according to certain variables, such as age, personality, gender and IQ

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11
Q

factorial design

A

design with more than one IV (2X2)

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12
Q

Univariate

A

analysis carried out on only one variable to summarize or describe the variable

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13
Q

Advantages of between-subjects design

A

good external validity, easier to set up; shorter sessions than within-subject designs

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14
Q

Disadvantages of between-subjects design

A

Costs more

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15
Q

Advantages of within-subjects design

A

Require fewer participants, cheaper, good internal validity

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16
Q

Disadvantages of within-subjects design

A

Order effect; fatigue; practice effect

17
Q

Can you have validity without reliability?

18
Q

Can you have reliability without validity?

19
Q

When do you use a factorial design?

A

When you want to understand the effect of two or more independent variables upon a single DV

20
Q

Nominal

A

Categories/names/labels/qualities; Ex- Type of car one drives

21
Q

Ordinal

A

Data can be arranged in order; Ex- TV ratings

22
Q

Interval

A

Temperature; year of birth

23
Q

Ratio

A

Height/weight/age

24
Q

Qualitative

A

Data consists of non-numerical values; Ex- college majors or hair color

25
Quantitative
Data consists of numerical values; Ex- Heights and body temperature
26
Basic research
builds on psychological knowledge
27
Applied research
Addresses social problems or issues
28
Variance
measure of how much values in a data set differ from the mean
29
Standard deviation
a measure of variation that indicates the typical distance b/w the scores of a distribution and the mean
30
Standard error
measures the accuracy with which a sample rep a population
31
Type 1 error
rejecting the null when it is true
32
Type 2 error
when you accept the null when you should reject it
33
Null hypothesis
statement that is the opposite of your hypothesis
34
fail to reject
when there is no real difference, the null is confirmed
35
Counterbalancing
used to deal with order effects when using a repeated measures design; does not eliminate them
36
Floor effect
Task is so difficult that hardly anyone performs well
37
Instrument decay
basic characteristic of the measuring instrumental change over time
38
Quasi-experimental design
address the need to study the effect of the IV settings in which central features of true experimental designs can't be
39
Ceiling effect
IV appears to have an effect on the DV measure only b/c participants quickly reach max performance levels