Research Methods Flashcards

(52 cards)

1
Q

Operationalised hypothesis

A

Clearly defining variables in terms of how they are measured
Eg after drinking 250ml of monster participants say more words in the next five minutes than participants who drank 250ml of water

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2
Q

Extraneous variables

A

Any variable that could affect the dv
Doesn’t change with Iv
Eg Age

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3
Q

Confounding variable

A

Changes the DV
Changes with the IV
For example excitement affects chattiness

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4
Q

Experimental designs

A

Independent groups
Repeated measures
Matched pairs

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5
Q

Independent groups

A

One group 1 condition other group different condition
L- less economical
S- no order effects can’t guess aims

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6
Q

Repeated measures

A

All pp experience both conditions
L- order effects affect performance
S- pp variables are controlled

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7
Q

Matched pairs

A

Pp matched on pp variables which may effect DV assigned to different conditions
S- control confounding variables/ demand characteristics
L- pp can’t be matched exactly pp variables may remain

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8
Q

Types of experiment

A

Lab experiment
Field experiment
Natural experiment and Quasi experiment

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9
Q

Lab experiment

A

Highly controlled environment
S- high control internal validity
L- lack generalisation artificial behaviour lack ex validity

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10
Q

Field experiment

A

IV manipulated in every day setting
Eg nurse and drugs obey study
S- high mundane realism high ex validity
L- loss control of CV and EV - harder to establish IV effect

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11
Q

Natural experiments

A

Researcher has no control over IV
Eg sex of participant = IV
S- provide opportunities for research
L- cannot randomly allocate unsure IV causes DV

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12
Q

Quasi experiment

A

Iv is pre-existing
Eg IV= gender
S= controlled conditions high internal validity
L= cannot claim Iv has had an effect confounding variables

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13
Q

Sampling

A

Systematic
Random
Stratified
Opportunity

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14
Q

Random

A

List of people assign number sample using random generator
S= unbiased
L= may be unrepresentative

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15
Q

Systematic

A

Every nth member of population
S= objective no influence who is chosen
L= time consuming

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16
Q

Stratified

A

Sample reflects proportions of people from different subgroups within population
S= representative sample
L= not perfect never reflect every difference

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17
Q

Opportunity

A

Select those willing and available
S= convenient
L= unrep and researcher bias

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18
Q

Volunteer

A

Pp select themselves to be part of the study
S= easy min input
L= volunteer bias certain profile lack gen

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19
Q

Ethical issues

A

Informed consent
Deception
Protection from harm
Privacy

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20
Q

Observations

A

Naturalistic / controlled
Covert/ overt
Participant / non participant

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21
Q

Naturalistic/ controlled

A

Naturalistic - watching behav in setting of normal occurrence
S= high ex validity
L= lack of control
Controlled - in structural environment lab
S= controlled
L= low ex validity

22
Q

Covert/ Overt

A

Covert- pp watched without knowledge
Overt- pp watched with knowledge

Co L= ethics questioned

23
Q

Participant/ non participant

A

Increased insight natural behaviour - ex validity
Lose objectivity

24
Q

Observational design

A

Unstructured
Structured

25
Unstructured
Write down everything you see
26
Structured
Write down specific target observations - catergories
27
Behavioural categories
Target behav broken up into components observable and measurable
28
Sampling methods
Event sampling - counting behaviour continuously Time sampling - recording behaviour in specific time intervals
29
Self report
A person is asked to explain own feelings or experiences related to a topic Evaluation L- Desirability bias pp may try to give the “correct” answer to be socially accepted for example S- may be more useful than observing alone
30
Peer review
Assessment by others who are specialists in same field to ensure data is of high quality 1. Allocate research funding 2. To validate quality and relevance of research 3. Suggest amendments or improv Eval Anonymity criticise rival researchers Publication bias - publish headline grabbing articles data disregarded Burying groundbreaking research to maintain status quo contradict established research
31
Meta analysis
Process of combining findings of studies on a particular topic to provide an overall statistical conclusion
32
Features of reports
Abstract=summary of entire research project Method= sample design materials and procedure described Results= quant - stats analysis qual content analysis Discussion= evaluation References
33
Pilot studies
Small scale version of an investigation that takes place before real one is conducted Aim is to check procedures materials etc work Allow researcher to make changes
34
Positively skewed
Mode median mean peak closest to y axis Mode farah positive day if wins the Y marathon Mean stinks
35
Negatively skewed
Mean median mode Mode furthest from y axis Sad day when mode farah is beaten by both median and Mean in the Y marathon
36
Type 1 error
When null hypothesis is incorrectly rejected False positive
37
Type 2 error
When null hypothesis is incorrectly accepted significance level is too low False negative
38
Case studies
An in depth investigation description and analysis of an individual, group or institution Qualitative data occasionally quantitative Longitudinal Eval Offer rich detailed insight on atypical forms of behav eg HM Hypotheses for future study possibly leading to rev of new theory Generalisation issue v small sample size subjective interpretation of researcher question case study validity
39
Correlation coefficient
+0.8 within each other
40
Face validity
Appears to measure what it measures
41
Concurrent validity
Agreement between 2 different assessments/ psych research
42
Ecological validity
The extent to which findings can be generalised to other settings ex validity
43
Temporal validity
Whether findings hold truth over time Eg Freuds theory lacks temporal validity as penis envy is outdated reflects patriarchal Victorian era
44
Ways of assessing validity
Face validity appears what it is supposed to measure - eyeballing Concurrent validity - particular test is demonstrated where results should be similar eg new intelligence test may compare iq score of well established test before
45
Improving validity
In experiments- use control standardise procedures use single bind or double bind to avoid to minimise investigator effects reduce demand charac Questionnaires - incorporate a lie scale to control social desirability bias Observations - covert observation and refine behavioural catergories Qualitative research - interpretative validity direct quotes etc and triangulation using many sources as evidence
46
Paradigm
Shared assumptions and agreed methods within a scientific discipline
47
Paradigm shift
Result of scientific revolution when there is a significant change in theory
48
Theory construction
Process of developing explanation for causes of behaviour by gathering evidence and determining a theory
49
Falsifiability
Principle that a theory cannot be regarded as scientific if variables cannot be proved untrue eg Freud
50
Empirical method
Scientific approaches that are based on gathering of evidence through direct observation and experience
51
Investigator effects
Any effect of the investigators behaviour on the research outcome may include design of study or interaction with pp Standardised script used
52
P<0.05
There is a less than 5% likelihood that results occur if there is no real difference between conditions