quantitative and qualitative research Flashcards

1
Q

what is the hypothetico-deductive method?

A
  • observation
  • formulate theory
  • derive testable hypotheses and test these
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2
Q

what is a hypothesis?

A

a testable idea

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3
Q

how to form a hypothesis?

A

what do we know?
What are we interested in?

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4
Q

what is a null hypothesis?

A

there is no correlation between variables

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5
Q

steps to forming a hypothesis?

A
  • define key concepts
  • think about the practical issues and the design of the study
    • how to test
    • where to test
    • who is being tested
    • what to measure
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6
Q

what is experimental design?

A

used to determine the causal relationship between variables

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7
Q

what is the independent variable?

A

what you change and manipulate in the experiment

structure:
- has a IV and DV
- has two conditions
- compare the two conditions

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8
Q

what is a dependent variable?

A

what you measure/ the outcome

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9
Q

what are confounding variables?

A

variables which have unwanted influences on the results

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10
Q

how to eliminate confounding variables?

A
  • conducting the study in a standardised manner
    • testing each participant in the same
      setting
  • ensure no consistent differences between conditions
    • randomly select/allocate participants
    • randomly testing at different times/conditions
  • within subjects design
    • participants attended ALL conditions
  • between subject design
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11
Q

what is quasi-experimental design?

A

When randomly allocating participants is impossible, e.g. to explore the differences between two populations and therefore participants only attend one condition

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12
Q

what is correlational design?

A

used to investigate relationships between two variables
- correlation doesn’t equal causation
- how does a change in variable A effect variable B

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13
Q

what is a correlational design plan?

A
  • how to measure variables
    • survey: give people questionnaires
    • observation: watch and record
      what happens
    • document research: review publications, newspapers and diaries etc
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14
Q

what is a positive correlation?

A

When variable A (social circle) increases, variable B (happiness level) also increases

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15
Q

what is a negative correlation?

A

When variable A (social circle) increases, variable B (happiness level) decreases

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16
Q

what is no correlation?

A

No relationship between the two variables

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17
Q

what is the criteria for quality?

A

reliability - the results are replicable / the consistency of results
validity - the experiment tests the variables we want to test / accuracy of measurements
generalizability - The extent to which the experiment results can be applied in real-world

18
Q

How can validity be improved?

A

Think of the confounding variables when designing

Try to use setting and tasks similar to real life

19
Q

how to improve reliability?

A

Increasing sample size

Repeating the experiment
- A clear description of how it was carried out in onestudy.

20
Q

what is generalizability across people?

A

Fundamental processes are presumably universally shared.

What processes are universal and what are not?

21
Q

How can i improve generalizability?

A

repeating a study with different participant populations

22
Q

what is qualitative research?

A

Aims to describe the nature of relationships, situations, processes,systems and people

23
Q

why do we use the qualitative method?

A

o uncover information impossible to be collected via quantitative methods.

When the information relates to the complex use of language or meaning

24
Q

when is the qualitative method used?

A

Studying the complexity of something in its natural setting

To evaluate the implementation of social policies

When there is little or no research on the topic

As a preliminary phase to clarify a research question

As a preliminary phase to guide quantitative research

25
what makes a good qualitative question?
Be subjective - What do you think/feel Be specific - Different learning ways vs online / face-to-face learning Giving the respondent the opportunity to provide a more reasoned,personal response
26
Primary sources - interview - focus group - observation Secondary sources - document view - Earlier research - Personal records - Client histories - Service records - Government publications
27
what is a structured interview?
A fixed set of questions asked in a fixedorde
28
what is a semi-structured interview?
A fixed set of questions but not asked in a fixed order
29
what is an unstructured interview?
Have topics but no fixed questions or order
30
what is a focus group?
Discussion-based interview Build conversation among participants
31
what is non-participant observation?
Non-participant observation:No direct contact with group members
32
what is participant observation?
Observer join the studied group with the expressed intention
33
what are types of data collection?
primary and secondary
34
what are types of data analysis?
thematic analysis grounded theory
35
what is the aim of thematic analysis?
Generate themes – patterns in the data that are important or interesting, and use these themes to address the research issues
36
what is the grounded theory?
Grounded theory method* Developed by Glaser and Strauss (1967) - To generate or discover the theory
37
why is the grounded theory used?
There is little or no theory in existence or you do not agree with existing theories.
38
when is quantitative research used?
Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings Quantitative methods allow you to systematically measure variables and test hypotheses.
39
when is qualitative research used?
Qualitative methods allow you to explore concepts and experiences in more detail.
40
what are the advantages of qualitative research?
* In-depth examination of phenomena * Examine complex questions * Deal with value-laden questions * Not limited to rigidly definable variables * High in ecological validity
41
advantages of quantitative research?
* Easy to implement the research – standardized procedure/ well-controlled * Relatively quick to gather and analyse data * Relatively large sample sizes* Provides precise and numerical data and easy to interpret