Principles of Quantitative Research Flashcards

1
Q

criteria of hypotheses

A

linked to the research question/aim

testable and measurable by the proposed study design

logical in relation to current literature

specified prior to data collection

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2
Q

H1

A

alternate hypothesis

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3
Q

alternate hypothesis (H?)

A

H1

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4
Q

null hypothesis (H?)

A

H0

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5
Q

H0

A

null hypothesis

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6
Q

types of hypothesis (directions)

A
  • Directional (causal)
    • Directional (non-causal)
    • Non-directional (causal)
    • Non-directional (non-causal)
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7
Q

what must there be for a hypothesis to be directional

A

clear rationale

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8
Q

what type of hypothesis if exploratory or limited knowledge?

A

non-directional

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9
Q

causal hypotheses only suitable for what design?

A

experimental

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10
Q

types of statistical analyses

A
  • Correlation (regression)
    • ANOVA (repeated, independent, mixed, factorial)
    • Logistic regression
    • T-tests (independent, related)
    • Multiple regression (mediation, moderation)
    • ANCOVA
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11
Q

how do we decide which satistical analysis to carry out?

A
  • Continuous or categorical outcome/DV?
    • How many predictors? What type (continuous/categorical)
    • If categorical predictors, how many categories?
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12
Q

in what stages of research is there bias?

A

design
implementation
analysis
publication

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13
Q

bias in design stage

A

○ Order effects
○ Ceiling/floor effect of task (task too easy or too hard so everyone scores too high or everyone scores too low - so how can we see differences)
○ Participants: sampling, selection and individual differences

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14
Q

bias in implementation stage

A

researcher bias
response bias

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15
Q

bias in analysis stage

A

○ Confirmatory hypothesis testing/confirmation bias
○ HARKing
○ P hacking

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16
Q

bias in publication stage

A

Publication bias (pressure to find significant results - non-significant results struggle to get published)

17
Q

what is social desirability bias?

A

“tendency of subjects to deny socially undesirable traits and to claim socially desirable ones…” (Nederhof, 1985)

18
Q

factors affecting SDB

A

Impacts on behaviours and self-report
E.g. impacts on self reports of clinical behaviours (Perinelli &Gremigni, 2016)

Self deception and impression management (Paulhus, 1986)

Nederhof (1985)
Situational and personality determinant of social desirability bias

19
Q

ways to address SDB

A

Social desirability scales

E.g. Marlowe-Crowne social desirability scale (1964) - Shortened versions also developed

The social desirability scale (SDS, 2001)

20
Q

WEIRD sampling - who and what does it stand for

A

Henrich et al., 2010

		§ Western
		§ Educated
		§ Industrialised
		§ Rich
		§ Democratic
21
Q

how much to WEIRD samples make up

A

represent up to 80% of study ppts, but only 12% of the worlds population

22
Q

impact of WEIRD samples

A

WEIRD populations are outliers on many psychological phenomena (Henrich et al., 2010)

Demonstrates a lack of cultural diversity in psychology research

Validity and generalisability questionable

23
Q

Addressing WEIRD samples

A

Rad, Martingano & Ginges (2018)
□ Reviewed psychological science papers
□ Lack of sample information

Suggestions for authors, journal editors and reviewers to reduce issues related to WEIRD samples and foster more representative psychological research

Research still continues to use WEIRD samples…