Research Methods Flashcards

(37 cards)

1
Q

Types of correlations

A

Positive correlation-as one co variable increases so does the other
Negative correlation-as one co variable increases the other decreases
Zero correlation- no relationship/association between co variables

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2
Q

Ranges of correlation co efficients

A

-1.0 to +1.0

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3
Q

Correlation score meanings

A

0.8-1 strong, 0.5-0.8 mild, 0.3-0.5 weak, 0-0.3 none

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4
Q

Experiment vs correlation

A

Experiment- researcher changes IV to effect DV, IV caused any observed changes
Correlation- no manipulation of V, can’t assume one is causing other

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5
Q

Correlations evaluation

A

Useful preliminary tool,quick and cost effective no need to controlled environment ✅
Lack of manipulation and control only if but not why they are related, could be 3rd variable, can be misinterpreted but not in relationship ❌

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6
Q

Types of data

A

Primary, secondary

Qualitative, Quantitative

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7
Q

Primary data

A

Collected for study specifically by researcher from p
Data is genuine, info researcher needs, current time period✅
Time and effort❌

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8
Q

Secondary data

A

Collected by someone not researcher,not specific to experiment and researcher has no contact w p
Little time and effort✅
Not for specific purpose, can’t check authenticity or quality ❌

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9
Q

Qualitative data

A

Wordy data
Broader+more richness of detail,greater external validity have more chance to develop points✅
Difficult to analyse, hard to find patterns, conclusions may be subjective so reduce validity+reliability❌

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10
Q

Quantitative data

A

Number data
Simple to analyse higher validity and reliability ✅
Narrower in scope abs meaning as cant develop points so lower external validity❌

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11
Q

Measures of central tendency

A

Mean
More representative of data as whole✅
Easily distorted by extreme values❌

Median
Not affected by extreme scores✅
Less sensitive than mean as not all scores included❌

Mode
Easy to calculate, only measure that can be nomial(categories)✅
Not representative of data as whole and results may not have mode❌

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12
Q

Measures of dispersion

A

Range
Easy to calculate✅
Only takes into account 2 extreme values maybe unrepresentative ❌

Standard deviation- how much scores deviate from mean, difference between mean+each score,smaller(tighter spread) bigger (greater spread)
Much more precise measure✅
Can be distorted by extreme value ❌

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13
Q

Content analysis types

A

Content analysis

Thematic analysis

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14
Q

Content analysis

A

Deductive approach

Researchers know what they are looking for+ have pre conceived categories to reflect,may use tally

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15
Q

Thematic analysis

A

Inductive approach no pre conceived categories, identify themes and ideas in data, themes emerge once analysed

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16
Q

Content analysis strengths

A

Can get round ethical issues as no issues getting consent
Flexible as can produce qualitative and quantitative data
High in ecological validity

17
Q

Content analysis limitations

A

Tells us what not why so no meaning behind data

Risk of observer bias ,interpretation of what category data is in reduces validity

18
Q

Case studies

A

Analysis of unusual individual or event and tend to be longitudinal (over a long period)
Insight into areas psychologists can’t study through manipulation as unethical
Eg patient HM and Little Albert

19
Q

Case studies strengths

A

Rich insight into atypical behaviour and can understand more

May generate hypotheses for future study,new ideas

20
Q

Case studies limitations

A

Single person/small group might not apply to everyone
Researcher getting to know individuals can subjective interpretation
Can’t be replicated reduced validity

21
Q

Types of interview

A

Structured
Unstructured
Semi structured

22
Q

Structured interview

A

Questions decided in advance

23
Q

Semi structured interview

A

Some pre determined questions some developed in response

24
Q

Unstructured interview

A

General aims and possible questions, some developed in response to answers

25
Errors in designing an interview
Overuse of jargon (technical terms) Emotive language+ leading questions (lead to certain answer) Double barrelled negative questions(confuses participant )
26
Structured interview evaluation
High reliability/ replication and data analysis | Low validity, interviewer bias and social desirability bias
27
Unstructured interview evaluation
High interviewer bias,validity and social desirability bias | Low reliability and data analysis
28
Semi structured interview evaluation
High validity and social desirability bias | All else mixed
29
Types of observations
``` Naturalistic Controlled Covert Over Participant Non participant ```
30
Naturalistic and controlled observations
Naturalistic-watching and recording behaviour in setting it would normally occur Controlled-watching and recording behaviour in structured environment
31
Covert and overt observations
Covert-participant behaviours is watched without their knowledge and consent Overt-participant behaviours is watched and recorded with knowledge and consent
32
Participant and non participant observations
Participant-researcher becomes member of group who’s behaviour they are watching and recording Non participant-remains outside of group they are monitoring
33
Pilot studies
Small scale version of investigation that occurs before real investigation to check procedures etc work before main one so they can make changes if issues occur
34
Pilot studies strengths
Practice for recorder See if study will be valid and findings measure what they intend to Saved money and time long term
35
Pilot studies limitation
More participants required They may tell others which reduces validity of future studies Wastes time and money short term
36
Observations evaluation factors
``` Objectivity Demand characteristics Reliability Ethical issues External validity Internal validity ```
37
Observations
Allow psychologists to study observable behaviour and complex interactions between variables more naturally Not experiments as no IV can be used Can’t establish cause and effect relationships