SES - Quantitative Research Flashcards

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1
Q

What are the 2 types of scientific process and data that exist?

A
  1. ) Quantitative research

2. ) Qualitative research

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2
Q

Quantitative research?

A

Uses numbers to systematically Investigate observable phenomena via statistical, mathematical or computational techniques.

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3
Q

Qualitative research?

A

Uses words to understand observable or underlying phenomena through focus groups, individual interviews, and participation or observation.

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4
Q

What defines the specific objective of the study/experiment and what type of research?

A

Research question.

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5
Q

How is the research question developed?

A

Through reading and synthesising the previous scientific research and theory to identify the next step in research.
Through observation of the real-world.

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6
Q

What does a literature review involve?

A

Searching for, collating, reading, and synthesising all of the literature on your question.

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7
Q

What does a new question have to do?

A

Build on previous discoveries in science.

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8
Q

Hypothesis/Hypotheses?

A

Set of predictions, propositions or expectations to win a test in a study/experiment, created from somewhat limited evidence.

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9
Q

How are hypothesis/hypotheses developed?

A

Through reading and synthesising previous scientific research in order to predict what will be found.

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10
Q

2 steps to collecting data to test your question?

A

You need to decide:

  • What to measure.
  • How to measure it.
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11
Q

Variables?

A

Factors which are measured and can change/vary.

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12
Q

How can most hypothesis be stated?

A

In terms of 2 variables, a proposed:

  • Cause.
  • Outcome.
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13
Q

What are known to be the cause of some effect?

A

Independent variables.

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14
Q

What denotes a variable the researcher has deliberately manipulated?

A

Independent variable.

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15
Q

Predictor variable?

A

Independent variable.

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16
Q

What is measured as an outcome that is affected by changes in the independent variable?

A

Dependent variable.

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17
Q

Outcome variable?

A

Response accuracy, response time.

18
Q

What refers to one other than the manipulated independent variables that potentially effects the dependent variable?

A

Confounding variable.

19
Q

Example of a confounding variable?

A

Different tennis skill level of participants.

20
Q

What relates to the outside factors that could possibly influence the result of the experiment that are deliberately kept out of or tested in the study?

A

Control.

21
Q

What does sampling involve?

A

Selecting a sub-group of people from a population.

22
Q

Why should samples normally be randomly selected?

A

So samples are representative of the population.

23
Q

Sham/stimulated intervention that can produce perceived or actual improvement and is used as a control condition?

A

Placebo.

24
Q

A measure of consistency of the dependent variable ensuring it is consistent or repeatable when measured more than once under the same conditions?

A

Reliability.

25
Q

Validity?

A

A check that the experiment measures what is purports to measure.

26
Q

Internal validity?

A

Relates to the conditions or design of the study ensuring that your experimental results are due to the independent variables manipulated.

27
Q

How should threats to internal validity be dealt with by a scientist?

A

Remove/minimise their impact through a sound experimental design.

28
Q

External validity?

A

Addresses the generalisation of the findings outside of the experiment setting.

29
Q

Examples of why there is often a conflict between internal validity and external validity?

A

E.g. lab-based experimental findings may not be applicable outside.
E.g. studies in non-lab settings with high external but low internal validity.

30
Q

Involves observation and measurement of what naturally occurs in the real-world without any attempt at interference?

A

Descriptive study.

31
Q

Experimental study?

A

Systematically manipulating one or more independent variables under controlled circumstances and measuring the effects on the dependent variable.

32
Q

2 types of descriptive study?

A

Cross-sectional.

Longitudinal.

33
Q

Cross-sectional studies?

A

Observation and measurement of what naturally occurs in the real-world without interference.
Has 2 or more samples that differ on a variable(s) at a specific time point (Age, IQ, Health).

34
Q

Longitudinal studies?

A

Observation and measurement of what naturally occurs in the real-world without interference.
Several dependent variables are measured across extended time periods.

35
Q

Correlational study?

A

Observation and measurement of what naturally occurs in the real-world without interference, but to establish the strength of a relationship between 2 variables.

36
Q

Repeated measures study?

A

Measuring the same participants in same conditions 2+ times usually surrounding an intervention.

37
Q

Case study?

A

Single subject measured before and after an intervention.

38
Q

Cross-over design study?

A

2 conditions/treatments and half participants receive real treatment first, the other half control first.

39
Q

Randomised-control trial?

A

Participants are assigned randomly to experimental and control groups or treatments.

40
Q

Casual comparative study?

A

Participants are in groups that differ on a critical variable, but are otherwise similar.

41
Q

Single-blind control trial?

A

Where the experimenter is aware of the conditions, participants are not.

42
Q

Double-blind trial>

A

Where the experimenter nor the participants are aware of the conditions.