Methods Flashcards

1
Q

What are examples of research consumers?

A
  • Other scientists - develop new ideas
  • Students - developing our own expertise
  • Clinicians - informs best practices in various clinical settings
  • Employers - inform practises and keep employees happy/ boost business
  • Industry - user experience, research in VR, market research for promotion
  • Public policy - gov can use psychological knowledge to inform policies i.e. COVID
  • General public - The general public can make informed choices
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2
Q

what is included in the scientific method?

A

observation - question- research - hypothesis - experiment - analyse - conclusion

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3
Q

The scientific method

A

We cant ‘prove’ a theory/hypothesis but we can collect evidence to support one hypothesis over another
scientists are also subject to pressure and can make mistakes

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4
Q

How is good research found?

A

Good research is founded on honesty and integrity as well as good research practises such as transparency and openness

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5
Q

What can research be categorised as

A

Basic or translational as well and qualitative or quantitative

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6
Q

Reproducibility

A

Good research designs and statistical practices are key to research reproducibility
Contributing factors: questionable research practices - hypothesizing after results are known , selective research reporting, P- hacking

scientific misconduct: fabrication, falsification

Imporvements: improving statistical tools, having accountability, open science

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7
Q

What can research be categorised as?

A

Basic: improves our understanding of given areas, fundamental research

Translational: Using basic findings and applying them to a real-world context, used to improve outcomes

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8
Q

Qualitative and quantitative research

A

Quantitative: collects numerical data, usually uses statistical analysis, complex variables are broken down into simple constructs, lab experiments

Qualitative: collects non-numerical data, usually no statistical analysis, focus on rich in depth, subjective trends - more detailed and complex, conversation analysis, thematic analysis

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9
Q

What are ethics?

A

Set of values, norms, and regulations that help constitute and regulate scientific activity

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10
Q

Why do we have ethics?

A

To balance the rights and well-being of participants against the aims of scientific research

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11
Q

What is the historical code of ethics?

A

Nuremberg code
Declaration of Helsinki (still in use)
Belmont report

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12
Q

what is the modern code of ethics?

A

APA- American psychological association
BPS- The british psychological society

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13
Q

Why do we need ethics?

A
  • Ethical issues when conducting research on humans
  • Sensitive topics can be traumatising/stigmatising or come with physical risk of harm
    -Ps may be in discomfort due to research
  • Ps have the right to privacy,respect and safety
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14
Q

What do research aims do?

A

Outline the overarching goal of a particular study
- contribute to something
- fill a gap in a literature

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15
Q

Research hypotheses

A

Specific predictions about the results of a study

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16
Q

What are the 4 types of hypotheses based on direction and causality?

A

Directional, causal
Directional, non-causal
Non directional, causal
Non directional, non- causal

17
Q

Variables

A

Things that vary and can be measured or manipulated

18
Q

what types of variables are there?

A

Independent variables: things that can be changed/manipulated

Quasi-independent variables: things that aren’t fully under experimental control/ vary naturally

Dependent variables: things that experimenters measure

19
Q

Operationalisation

A

Precise definitions of concepts that are under investigation

20
Q

Causality

A

How to tell if a change in one variable causes a change in another
- covariance - the cause and effect

  • Temporal Precedence - cause needs to happen before the effect
  • Exclusion principle - empirical observation can eliminate possible causes for a phenomenon and thereby reach conclusions about the true causes
21
Q

Extraneous variables

A

Other factors that can influence the dependent variable

22
Q

Confounding variables

A

Other factors that can influence both the IV and DV

23
Q

Lab experiments

A

Based on the idea of manipulating an IV to see the impact on the DV

24
Q

Experimental manipulation

A
  • IVs
  • Operationalisation of variables: how we define the variables we manipulate and measure
  • Pilot study- small-scale experiments to check that the IV works as intended and that Ps tolerate the experimental design
25
Standardisation
Every P experiences the experiment in the same way, barring differences between conditions Experimental control: control for extraneous and confounding variables
26
Random assignment
- Ps are randomly allocated to conditions - E.g. coin flip, computer generator, Odd/even Ps
27
Designs
- Between subjects designs- participants complete only one condition each either control group or experimental group - Within subjects designs - all Ps complete all conditions - both control group and experimental group Pre-test: check if the different groups of participants perform a task equally before experimental manipulation Post-test: Check if the experimental manipulation has changed performance
27
28
What are the advantages and disadvantages of between-subject designs
Advantages: Ps are kept unaware of the difference between conditions, no chance of order effects Disadvantages: Different groups might have different characteristics, introducing extraneous variables
29
What are the advantages and disadvanatges of pre-test and post-test design
Advantages: allows us to check if randomisation has worked, allows us to isolate the effect of the IV on the DV Disadvantages: Can alert the P to the thing we are interested in, and affect their behaviour, can only test the difference in performance from pre to post, rather than absolute performance
30
What are the advantages and disadvantages of within-subject designs?
Advantages: no chance of differences in groups between conditions, control for individual differences, fewer Ps needed overall Disadvantages: Practise effects, Boredom, Carry-over effects
31
Reliability
Reliability: wether a test gives consistent results - reliable over time - internal consistency - across researchers
32
Validity
whether a test assesses what it claims to assess and how applicable our findings are beyond the study - Construct validity - Statistical validity - Internal validity
33
External validity
Does our result apply to the real world Generalisability - population - environment - Temporal Applicability Replicability