Research Methods Flashcards

(31 cards)

1
Q

What is an alternative hypothesis

A

Statement that predicts the outcome of the research - alternative to null

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2
Q

What is a null hypothesis

A

Predicts no relationship would be found.

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3
Q

Confounding variable

A

Variables that are not controlled and have a direct impact on results

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4
Q

Situational variables

A

Extraneous/confounding could be in the environment and may impact results

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5
Q

Participant variable

A

Characteristics of the pps themselves could affect the results

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6
Q

Order effects

A

Performance of pps in one condition could impact the performance in other conditions / fatigue

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7
Q

Counterbalancing

A

Alternating the order of the tasks to reduce order effects

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8
Q

Randomisation

A

Selecting randomly which condition of the experiment the pps do first

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9
Q

Predictive validity

A

The extent to which results of a study can predict performance in another measure of that behaviour

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10
Q

Concurrent validity

A

The extent to which the psychological measure relates to an existing measure

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11
Q

Face validity

A

Whether the results literally appear as if they measure what they were set out to.

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12
Q

Open questions

A

Allows pps to answer freely any ways they choose
- qualitative

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13
Q

Closed questions

A

Questions are fixed and answered in a certain way
- quantitative

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14
Q

Random sampling

A

Every member has an equal chance of being chosen - names out of a hat

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15
Q

Systematic sample

A

Every nth number of the targeted populations is selected.
- uses sampling frame (list of people who can be chosen)

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16
Q

Stratified sampling

A

The sample is a proportional representation of target population
- broken into subgroups
Then randomly allocated

17
Q

Opportunity sample

A

Whoever is available at the time

18
Q

Volunteer sampling

A

Volunteer themselves

19
Q

Meta-analysis

A

Looking at multiple pieces of secondary data researching similar aims.

20
Q

Content analysis

A
  1. Gathers quantative data from sources that already exist.
  2. Researcher reads through data so they’re familiar w it
  3. Researcher identifies coding units
  4. Analysis of data using coding units
  5. Tally is made of how frequent a coding unit pops up Into quanitative
21
Q

Thematic analysis

A
  1. Converts qualitive data
  2. Data reviewed repeatedly so then trends can be identified
  3. Themes re-analysed then given short hand codes
  4. Codes get used to annotate and identify
22
Q

One-tailed test

A

Use when directional hypothesis is stated.

23
Q

Two-tailed test

A

Use when non-directional hypothesis is stated.

24
Q

Type one error

A

When someone rejects the null incorrectly

25
Type 2 error
When someone accepts the null incorrectly
26
Carrots should come mashed with swede under roast potatoes.
Nominal : Chi squared, sign test, chi squared. Ordinal: Mann-Whitney U, Wilcoxon, spearman’s Rho Interval: unrelated-T test, Related t test, pearsons r
27
Paradigms / paradigm shift
Paradigm : A set of shared assumptions within a scientific discipline. Paradigm shift : a significant change in a unifying theory within a scientific principle.
28
Falsifiability
The theory can only be considered scientific unless if it was possible to establish it as false.
29
Objectivity
When sources of personal bias are minimised and don’t distort and have an Influence of the research.
30
Test-retest reliability
When the same person undertakes the same tasks to ensure its reliability and consistency
31
Inter-observer reliability
The extent to which two or more observers observe behaviours in a consistent way