The Nature Of Quantitative Research (4) Flashcards

1
Q

What are the stages of the quantitative hypothetico-deductive method

A

Read the literature
Develop null and experimental hypothesis
Collect and analyse data
Do the results support the null hypothesis

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2
Q

Empiricism

A

Based on publicly available knowledge

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3
Q

What are the two stages of testing a prediction

A

Collect appropriate data

Analyse the data

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4
Q

What did Kuhn develop

A

Paradigm shifts

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5
Q

What did Kuhn define replication as

A

Constant evaluation of the theory

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6
Q

What are the stages of planning research

A

Your hypothesis
Design
Data collection
Analysis

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7
Q

What should you consider with quantitative research

A

Design
Variables
Samples
Analysis

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8
Q

What are the 4 types of survey

A

Questionnaires
Interviews
Focus groups
Internet

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9
Q

What should you avoid in surveys

A

Using examples
High reading level
Jargon
Double barrelling

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10
Q

What should you beware of in a survey

A

Acquisition bias

Order effects

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11
Q

What three ways can you validate results

A

Cronus has alpha
Test retest
Statistical significance if validity process

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12
Q

What does your sample need to be in order to have generalisable results

A

Representative

Unbiased

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13
Q

Quota sampling

A

Like stratified sampling but more general

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14
Q

Self-selecting sample

A

Ppts volunteer

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15
Q

Opportunity/convenience sample

A

Selection is based on availability-non random

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16
Q

Purposive sampling

A

Selection is determined by the researcher based on the ppt satisfying the criteria

17
Q

Snowball sampling

A

Ppt knows others that fit criteria

18
Q

Critical cases

A

Rare occurrences provide insight to conditions you cannot create

19
Q

Focus groups

A

Individuals who fit criteria meet to discuss particular issues

20
Q

What four things should you consider when calculating sample size

A

Level of desired confidence interval
How small we want sampling error to be
How much variance there is in behaviour being measured
Overall size of total population

21
Q

What do we use to tell us whether our data supports our theory

A

Statistics

22
Q

What is the probability value that we use

A

0.05