RM: other Flashcards

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1
Q
A
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2
Q

observational design (Structured)

A

record pre-determined list of behaviours + sampling methods
- used if there is too much going on in a single observation

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3
Q

observational design (Unstructured)

A
  • when researcher records everything they see
  • used when observations are small + involve few ppts
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4
Q

behavioural categories

A

when a target behaviour is broken up into components that are observable + measurable

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5
Q

outline 3 main sampling methods

A

continuous recording, time sampling, event sampling

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6
Q

continuous recording

A
  • commonly used in unstructured observations
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7
Q

event sampling

A

counting the number of times a particular behaviour occurs in a target group

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8
Q

time sampling

A

involves recording behaviour within a preestablished time frame

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9
Q

AO3 for structured observations

A
  • quantitive data - easy to analyse
  • producing data is easier + more systematic
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10
Q

AO3 for unstructured observations

A
  • qualitative data - more detail
  • greater risk of observer bias - may only record behaviours that ‘catch their eye’
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11
Q

AO3 for behavioural categories

A
  • can make data collection more structured and objective
  • should be no ‘dustbin’ category where many different behaviours are deposited
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12
Q

self report technique

A

any method where person is asked to state/ explain their own feeling, opinions, behaviours etc

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13
Q

questionaries

A

set of prewritten questions used to assess a persons thoughts and/or experiences

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14
Q

open questions (in a questionnaire)

A
  • do not include fixed range of answers
  • produce more qualitative data
  • rich in detail but harder to analyse
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15
Q

closed questions (in a questionnaire)

A
  • offers fixed number of responses
  • easier to analyse but may lack depth + detail
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16
Q

strengths of questionnaires

A
  • cost effective - gather large amount of data quickly as they can be distributed to many people
  • data easier to analyse
17
Q

limitations of questionnaires

A
  • respondents may not always be truthful - social desirability bias
  • acquiescence bias - respondents agree with Q’s regardless of context
18
Q

Interviews

A

face to face interactions where interviewer asks a set of questions to assess respondents thoughts, behaviours etc

19
Q

what are the 3 types of interviews

A

structured interviews, semi structured interviews and unstructured interviews

20
Q

structured interviews

A

predetermined questions asked in a set order

21
Q

unstructured interviews

A
  • works like a conversation
    aim is that a general topic will be discussed
  • no set questions
22
Q

semi structured interviews

A

list of predetermined questions for interviewers to ask but an ask follow up questions

23
Q

AO3 for structured interviews

A
  • easy to replicate due to standardised format
  • interviews cannot deviate from topic - may be fustrating
24
Q

AO3 for unstructured interviews

A
  • more flexibility
  • possibility of social desirability bias
25
Q

what are the 3 types of ‘closed questions’ in a questionnaire

A

Likert scale, rating scales, fixed choice option

26
Q

likert scale

A

respondents indicate agreement /disagreement with a statement using a scale of typically 5 points.
- strongly agree - strongly disagree

27
Q

rating scales

A

similar to likert scale
- respondents identify a value that represents their feelings of a particular topic
i.e. 1-5

28
Q

fixed choice options

A

includes a list of possible options -
- respondents are required to indicate those that apply to them

29
Q

What is jargon

A

Refers to technical terms that are only familiar to those within a specialised area or field
- must be avoided in creating questions

30
Q

Outline common errors in question design that should be avoided when possible

A

Overuse of jargon
Emotive language
Leading questions
Double negatives

31
Q

What is a correlation

A

A mathematical technique in which a researcher investigates an association between 2 variables

32
Q

What are the 3 types of correlations

A

Positive correlations
Negative correlations
Zero correlation- no relationship between variables

33
Q

Difference between experiment and correlation

A

experiment - researcher controls/
manipulate IV to measure effect on DV
In a correlation there is not manipulation of one variable

34
Q

Strengths of correlations

A
  • provide a precise measure of how two variables are related
  • can be used as a starting point for conducting research
  • relatively quick and economical to carry out
35
Q

Limitations of correlations

A
  • can only tell us how variables are related but not why
36
Q

What is standard deviation

A

Measure of dispersion in a set of scores
Calculates difference between each score + mean
All differences are added up + divided by number of scores = variance
Standard deviation = square root of variance