quantitative research Flashcards

You may prefer our related Brainscape-certified flashcards:
1
Q

nominal/categorial

A

numbers are used to represent conditions - NOT quantitative - race, marital status

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

ordinal

A

values of variables are ranked - likert or pain scale

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

ratio

A

differences are measurable - quantitative - # of siblings, income

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

operationalization

A

how concepts are translated to variables - (concept: school - Different variables - years of schooling/highest degree achieved/bachelor’s degree or no)

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

deductive coding

A

codes developed in advance (quantitative)

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

inductive coding

A

codes found in transcripts (qualitative)

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

secondary analysis

A

analysis of data already collected

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

advantages of secondary analysis

A

large sample size, cost,

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

disadvantages of secondary analysis

A

can’t choose questions, little to no control of

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

data scraping

A

data of online behaviors

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

quantitative content analysis

A

study of what people produce - art, books, magazines

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

descriptive statistics

A

tell us about distribution of a variable

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

central tendency

A

gives quick picture of content of a variable - mean/median/mode

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

proportion

A

percentage of variable

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

inferential statistics

A

measure relationship between 2+ variables
knowing 1 variable helps us infer what the next one might be

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

bivariate statistics

A

measure relationship between 2 variables

17
Q

cross tab

A

useful for calculating relationship between 2 variables when 1 of them is nominal/categorial

18
Q

negative correlation

A

increase in variable 1 leads to decrease in variable 2

19
Q

positive correlation

A

increase in variable 1 leads to increase in variable 2

20
Q

correlation coefficient

A

measures relationship between 2 ratio level variables - between -1&1 - closer to 1 = correspond better to each other