301 2 Flashcards

(67 cards)

1
Q

Correlation

A

A statistical association between variables

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Correlational research

A

Involves examining potential associations between naturally occurring by measuring variables and determining if they are statistically related

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Positive correlation

A

Higher scores/levels of one variable lead to higher scores of another variable

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Negative correlation

A

Higher scores of one lead to lower scores of another

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Pearsons r

A

A statistic that measures the direction and strength of a linear relationship between two variables on interval or ratio scale

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Spearmans cho

A

Used to measure relationship when variables are on ordinal scale (ranks)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Scatter plot

A

A graph in which data points portray intersection of x and y values

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Bidirectionality problem

A

Ambiguity about if x causes or y causes x

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Third variable problem

A

A third variable may be the reason x and ybappear to be related

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Partial correlation

A

A correlation between x and y is computed while statistically controlling 3rd variable

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Cross sectional research design

A

Each person participated on one occasion and all variables are measured at the same time

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Prospective design

A

Variable x is measured at a an earlier point than y

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Regression anysis

A

Explores the quantitative linear relationship between two variables

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Criterion variable

A

Variable we are trying to predict

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Predictor variable

A

A alvariable who’s scores are used to predict the criterion

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Multiple regression

A

Explores the linear relation between one variable and a set of two or more other variables

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

Range restriction

A

Occurs when the range of scores obtained for a variable has been artificially limited in some way

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

Cas study

A

In depth analysis of individual or phenomena

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

Qualitative case study

A

Examines in real life context

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

Quantitative case study

A

Relies on numerical assessments

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

Intrinsic case study

A

Some inherent interest

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
22
Q

Instrumental case study

A

An example of a broader phenomenon

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
23
Q

Collective case study

A

Each of several cases is studied for info of a broader phenomenon

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
24
Q

Single case study

A

One case

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
25
Multiple case design
Two or more
26
Semi structured interview
The researcher identifies in advance a set of topics or themes to be discussed but still flexible
27
Focus group
A moderator leads a group of people through an interview and discussion of a set of topics
28
Observer bias
Occurs when a researcher has expectations that distort observations
29
Observational research
Encompasses different types of non expiremntal studies in which behavior is systematically watched and recorded
30
Naturalistic observation
Researchers passively observe a behavior in a natural setting
31
Participant observation:
: the observer becomes part of the group being studied
32
Enthnography
A qualitative research approach that often combines participant observation and interviews
33
Structured observation
A researcher fully or partly configured setting
34
Behavioral coding systems
Involve classifying participants responses into mutually exclusive catergories
35
Observer ranking scales
Used to evaluate participants behavior
36
Diary
Participants record their behavior
37
Interonserver reliability
Represents the degree to which independent observer show agreement in their observations
38
Focal sampling
Used to select a particular member who will be observed at a given time
39
Scan sampling
At preselected times the observer rapidly scans each member of a group so that the entire groups observed within a relatively short period
40
Situation sampling
Used to establish diverse settings
41
Time sampling
Select representative time periods in whichonservations will occur
42
Blind observation
Observers unaware of hypotheses
43
Reactivity
Occurs when the process of observing causes behavior to change
44
Habituation
A decrease in strength of response overtime
45
Unobtrusive measure
Asses behavior without making people aware the behavior is being measured
46
Physical trace measures
Unobtrusive, look at traces left behind
47
Survey
Used questionnaires and interviews to gather info about people
48
Representative sample
Reflects the important characteristics of population
49
Social desirability bias
A tendency to respond in a way that a person feels is socially appropriate
50
Probability sampling
Each member of a population has a chance of being selected to sample
51
Simple random sampling
Every member of sampling frame has an equal prob of being chosen
52
Stratified random sampling
A sampling frame which it is divided to group and in each group random sampling
53
Cluster sampling
Units that containmemebers selected then units random sampled
54
Single stage cluster sampling
All participants in clusters chosen to participate
55
Quota sampling
Sample non random
56
Self selection
Participants place self in study
57
Sampling variability
Chance fluctuations in sample
58
Margin of sampling error
A range of values within which the true population is assumed to reside
59
Confidence level
Degree of confidence that a true population resides in the margin of error
60
Leading q
Unbalanced/ suggestive
61
Loaded q
Emotionally charged
62
Double barreled q
Items that ask about two issues in one question
63
Context effects
Response influenced by items before it
64
Non response bias
Occurs when people who were selected but did not participate would have provided diff answers
65
Construct validity
Do experimental operations capture what’s intended
66
Internal validity
Confident that I can make casual inferences
67
Mundane realism
Surface validity