Chapter 2 Flashcards

1
Q

Objective Measurements

A

Measurements of a property that, within an allowed margin of error, is consistent across instruments and observers

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2
Q

Variable

A

The thing being measured

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3
Q

Operational definitions

A

Statements that describe the procedure and specific measures that are used to record observations

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4
Q

Validity

A

The degree to which a test measures what it is supposed to measure

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5
Q

Reliability

A

Degree to which a test produces similar scores each time it is used

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6
Q

Generalizability

A

The degree to which a test’s results can be applied to other situations

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7
Q

Population

A

Group of people researchers want to generalize about

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8
Q

Sample

A

Select group of population members

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9
Q

Random Sample

A

A technique in which each member of the population has an equal chance of being included

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10
Q

Convenience Sample

A

Subjects who are most readily available are chosen

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11
Q

Representative Sample

A

Sample that closely matches characteristics of population being studied

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12
Q

Ecological Validity

A

REsults of experiment can be repeated in the natural world

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13
Q

Hawthorne Effect

A

Change in behaviour due to the knowledge one is being observed

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14
Q

Social Desirability

A

Subject responds in ways they believe will grant them favour among the experimenters

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15
Q

Demand characteristics

A

Inadvertent cues given off by experimenter about how subjects are expected to behave

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16
Q

Placebo Effect

A

Beliefs about what is supposed to happen may bring about change

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17
Q

Single-blind

A

Only researcher knows about the purpose of the study

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18
Q

Double-blind

A

Neither researcher nor subject aware of exact treatment

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19
Q

Peer Review

A

Submitted articles reviewed by experts in that field of study

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20
Q

Replication

A

Repeating an experiment and getting a similar outcome

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21
Q

Anecdotal evidence

A

Researcher’s anecdote used used to make a claim as evidence

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22
Q

Appeal to authority

A

The belief in an expert’s claim even when no supporting evidence is present

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23
Q

Appeal to common sense

A

A claim that appears to be sound but lacks supporting evidence

24
Q

Qualitative Research

A

Research that measures a property without numerical values

25
Quantitative Research
Assigns numerical values to results
26
Case Study
In Depth report about the case of a specific individual. Example: HM brain dude
27
Naturalistic Observations
Researcher unobtrusively observes subject in their natural environment
28
Self-Reporting
Questions answered by the subjects. Establishes norms.
29
Correlational Research
Studies the relationship between two variables.Correlation does not equal causation
30
Illusory correlations
Relationships that only exist in the mind
31
Third Variable Problem
A third, unseen variable is responsible for the correlation of two known variables
32
Random Assignment
Technique of dividing a sample into two or more groups where participants are equally likely to be placed in any condition of experiment
33
Confounding Variable
Variable outside researchers control that may provide an alternate explanation for results
34
Independent variable
Variable manipulated by researcher
35
Between-subjects design
An experiment in which we compare the performance of individuals who are in different groups
36
Experimental Group
group that receives stimulus
37
Control Group
Group that doesn't receive stimulus
38
Within - subjects design
Subjects experience all kinds of stimuli
39
Quasi-experimental research
Two main groups to be compared selected based on predetermined characteristics
40
REB
Research Ethics Board
41
Informed Consent
Subject must give consent
42
Deception
Misleading subjects as to what the purpose of the experiment is
43
Debriefing
Full study is explained by researcher after experiment
44
Descriptive Stats
Used to describe data
45
Frequency
Number of scores that fall within a certain category
46
Animal Rights Perspective
Animals shouldn't be used in research
47
Animal Welfare Perspective
Humans have the right to use animals; still must treat them fairly
48
Normal Distrubtion
Symmetrical curve around the mode
49
Positive Skew
Hill on left, tail to right
50
Negative Skew
Hill on right, tail to left
51
Mean, median, mode
Average, middle data point, most frequently occurring value
52
Variability
Degree to which scores are dispersed
53
Std Dev
Variability around the mean
54
Null hypothesis
Assumes variation due to chance
55
Experimental hypothesis
Assumes variation due to experimenter