Quantitative research Flashcards

1
Q

Researcher collects and analyzes numerical data for the study in order to describe and explain the phenomena studied

A

Definition of quantitative research

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

What to quantitative research focus on?

A

Numbers and generalizeable data

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

What are the three goals of quantitative research?

A

Description, prediction and confirmation of hypothesis

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

What are the origins of quantitative research?

A

Natural sciences

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

6 characteristics of quantitative research

A
  1. Positivism
  2. Objectivity
  3. Numerical data findings
  4. deductive process generalization
  5. Examine causes and effect.
  6. Usually many numerical data
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Group of the participants of the research

A

Sample

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

All the people who could be in the research

A

Population

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

Questions with fixed responses

A

Close ended formats

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

Questions without fixed responses

A

open ended format

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

Random selection of the sample

A

Quantitative research method

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

Research tools in quantitative research

A

Survey and questionnaire

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

Research method in which subjects respond to a series of items in a questionnair and the process of collecting and analyze the answer

A

survey

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

a series of written questions a researcher supplies to subjects requesting their response

A

Questionnaire

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

5 points in a questionnaire

A
  1. title
  2. identifiers
  3. instructions
  4. institution
  5. objective
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

5 steps to conduct a survey

A
  1. Plan and design
  2. construct and refine survey instruments
  3. collect survey data
  4. enter and clean data
  5. analyze and interpret
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

a question asking two or more things in one question

A

Double-barreled question

17
Q

when participants respond in a way to make themselves look good

A

Social desirability bias

avoid by ensuring anonymity

18
Q

tendency to respond in a specific way

A

response set

avoid by including multiple question types

19
Q

What are Dichotomous question?

A

agree/disagree, True/false, Yes/no

20
Q

what are contingency questions?

A

follow up questions; if yes, about how many times have you smoked

21
Q

What is a nominal question?

A
number next to the answer has no meaning.
Ex: Gender
1=masculine
2=feminine
3=other
22
Q

rank the following artists according to your preferences from the best to worst being 1 the first choice.” What type of question?

A

ordinal question

23
Q

“1=strongly disagree, 5=strongly agree, 3=neutral” what type of question?

A

Likert response scale

24
Q

4 Advantages of quantitative research

A
  1. Generalizable data
  2. Geographically spread samples
  3. Objectivity
  4. Ethical advantages
25
Q

3 disadvantages of quantitative research

A
  1. Time consuming
  2. expensive
  3. Generalization, but does not explain why
26
Q

raw data collected through research

A

Raw scores

27
Q

5 steps to data collection, analysis and presentation

A
  1. Develop and classify code categories
  2. codebook
  3. enter the data
  4. clean the data
  5. analyze the data seeing the correlations
28
Q

is it possible to lie with statistics?

A

yes

29
Q

5 ways to lie with statistics

A
  1. Data selection
  2. data interpretation
  3. “wrong” use of graphs
  4. “wrong” source
  5. “wrong” dissemination