Research Design & Analysis Exam 2 Flashcards

1
Q

self-report measure

A

operationalizes a variable by recording people’s answers to questions about themselves in a questionnaire

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

observational measure

A

operationalizes a variable by recording observable behaviors or physical traces of behaviors

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

physiological measure

A

operationalizes a variable by recording biological data such as brain activity, hormone levels, etc.

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

quantitative data

A

data that is collected numerically or intended to be coded numerically

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

categorical variable

A

scale is assessed in categories (sex, race, gender, etc.)

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

ordinal variables

A

variables measured in ranks

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

test-retest reliability

A

a participant will get pretty much the same score each time they are measured with it

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

continuous scales

A

equal distance between each scale position

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

interrater reliability

A

consistent scores are obtained no matter who measures the variable

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

internal reliability

A

a participant gives a consistent pattern of answers, no matter how the researcher phrases the question

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

correlation coefficient

A

direction (position/negative sign) associated with the number
-strength (the number)

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

face validity

A

it looks like what you want to measure

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

content validity

A

the measure contains all the parts that your theory says it should contain

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

criterion validity

A

evaluate whether the measure under consideration correlates with behavioral outcomes we expect

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

convergent validity

A

the measure correlates with the other, and establishes measures designed to the same or similar constructs

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

why conduct surveys?

A

-to study relationships between/among variables
-provides a methodology for asking people to tell about themselves

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

discrimination validity

A

the measure does not correlate with the other, establishes measures designed to the same or similar constructs

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

questionnaires

A

-personal admin to groups or students
-mail surveys
-internet surveys

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

interviews

A

-face to face interviews
-telephone interviews
-focus group interviews

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

response set

A

a type of shortcut people can take when answering survey questions

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

acquiescence

A

when people say yes to every item instead of carefully thinking about each one

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

fence sitting

A

playing it safe by answering in the middle of the scale, especially for controversial studies

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

naturalistic observation

A

-observation in natural setting
-no attempt to intervene or change situation

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

observer effects

A

when participants confirm observer expectations

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
24
how to prevent observer bias?
-train observers well -provide clear rating instructions -multiple observers
25
reactivity
change in participants behavior when they know they are being watched
26
population
entire set of people or products in which you are interested
27
sample
a smaller set taken from the population
28
census
a set of observations that contains all members of the population of interest
29
biased sample
when some members of the population of interest are left out, resulting in the results not being generalized to the population
30
unbiased sample
when all members of the population are equally included
31
convenience sampling
sampling only those who are easy to contact
32
self-selection
sampling only those who volunteer
33
simple random sampling
when the sample is chosen randomly from the population
34
systematic sampling
when the researcher uses a randomly chosen number, N, and counts off every Nth member of a population
35
cluster sampling
when clusters of participants within the population of interest are selected at random
36
multistage sampling
involves a random sample of clusters followed by a random sample of people within the selected clusters
37
stratified random sampling
when the researcher identifies particular categories, and then randomly selects individuals within each category
38
oversampling
when the researcher overrepresents one or more group
39
random assignment
used only in experimental designs to assign participants to groups at random
40
what does random sampling increase?
external validity
41
what does random assignment increase?
internal validity
42
purposive sampling
a biased sampling technique in which only certain kinds of people are included in a sample
43
snowball sampling
when participants are asked to recommend acquaintances for the study
44
quota sampling
when the researcher identifies subsets of the population, sets a target number, and non randomly selects individuals within each category until the quotas are filled
45
time sampling
choose time intervals for making observations
46
situation sampling
choose different settings or conditions for observations
47
bivariate correlations
associations that involve exactly two variables
48
t test
a statistic to test the difference between two group averages
49
what makes a study correlational?
having two measure variables
50
effect size
describes the strength of an association
51
outlier
-extreme scores in a few cases -can make a correlation seem stronger or weaker than it really is
52
restriction of range
-lack of full range of scores on one of the variables -makes correlations appear smaller than they really are
53
curvilinear association
association between two variables is not a straight line
54
directionality problem
unable to determine which variable comes first
55
third variable problem
a potential third variable might explain the relationship between the first two
56
spurious association
a bivariate association that is attributable only to systematic mean differences on subgroups within the sample, not the original association
57
moderator
a variable the changes the relationship between two other variables
58
multivariate design
involve more than two measured variables
59
what are the three criteria to establish causation?
-covariance -temporal precedence -internal validity
60
longitudinal research
compares the same group to itself over time
61
cross sectional research
compares two variables or groups of people to one variable, at one time-point
62
parsimony
the degree to which a scientific theory provides the simplest explanation of some phenomenon