Self Report Design Flashcards

1
Q

why is self-report design important?

A

questions cannot just be asked, they need to be designed to avoid issues such as leading questions

for example, the way question is written or delivered may bias the response that is given, resulting in the collection of data that does not truly represent what a person actually thinks or feels

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2
Q

what is needed for a good question?

A

clarity

lack of bias

analysis

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3
Q

clarity

A

questions must be written so that the respondent understands what is being asked, there should be no ambiguity

double negatives reduce clarity — a double negative is when there are two negative words in one sentence, for example “are you against banning capital punishment?”, it’s not immediately clear what this question is asking

double barrelled questions are also a problem — for example, asking “do you suffer from sickness and headaches?” may cause confusion on how to answer if you only suffer one or the other

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4
Q

lack of bias

A

any bias in the question might lead the respondent to be more likely to give a particular answer

social desirability bias — respondents prefer to give answers that make them look more attractive, nicer and more generous rather than being totally truthful

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5
Q

analysis

A

questions need to be written so that answers are easy to analyse, they can either be open or closed

open questions invite respondents to provide their own answers and reasons, more likely to receive different answers from each respondent which makes them harder to compare and analyse — tend to produce qualitative data

closed questions are where a range of possible answers is fixed, such as listing five possible answers to choose from or asking a question with a yes or no answer, such questions are easier to analyse and compare as they are standardised BUT the respondents may be forced to select answers that don’t represent the real thoughts or behaviour — tend to produce quantitative data

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6
Q

what else is needed for a good questionnaire?

A

filler questions — it may help to include some irrelevant questions to distract the respondent from the main purpose of the survey, this may help to reduce demand characteristics

sequence — it is best to start with the easy questions, saving questions that might make someone feel anxious or defensive until the respondent has relaxed and is used to the process of being asked about themselves

sampling — the respondents need to be representative of the population, questionnaire studies often use stratified sampling

pilot study — the questions can be tested on a small group of people which means they can be refined in response to any difficulties encountered

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7
Q

open question evaluation

A

larger amount and more detailed information can be collected as respondents are able to expand on their answers and give reasons

can provide unexpected answers, therefore allowing researchers to gain new insights into peoples feelings and attitudes that they had not expected before

respondents that are less literate may find open questions difficult and most respondents may simply avoid giving complex answers, therefore in practice open questions may not actually provide detailed extra information

they produce qualitative data which is more difficult to summarise because there is likely to be such a wide range of responses. in any study, patterns are looked for so conclusions can be drawn about the behaviour being studied but if there are lots of different answers it is more difficult to summarise the data and detect clear patterns

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8
Q

closed question evaluation

A

have a limited range of answers and produce quantitative data which makes the answers to closed questions easier to analyse using graphs and measures like the mean

do not provide as much detail information

but do you provide more focused information that is more relevant to the behaviour being studied

respondents may be forced to select answers that don’t represent their real thoughts or behaviour, reducing the validity of data collected

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11
Q

types of data

A

qualitative data is non-numerical data

quantitative data is numerical data

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12
Q

interview design

A

previous issues of clarity, bias, analysis, filler questions, sequence, etc all apply to interviews as well

design of interviews also involves…
• recording the interview
• effect of interviewer
• questioning skills

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13
Q

recording the interview

A

interviewer may take notes throughout the interview to document answers

but this is likely to interfere with their listening skills AND it may also make the respondent feel a sense of evaluation because the interviewer may not write everything down and then the respondent feels that what they said was not valuable

alternatively interviews may be audio recorded or video recorded

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14
Q

effect of interviewer

A

presence of an interviewer may increase the amount of information provided

non-verbal communication — various behaviours such as sitting with arms crossed and frowning communicate disapproval and disinterest whereas head nodding and leaning forward encourage the respondent to speak

listening skills — an interviewer needs to know when and how to speak, they should not interrupt too often and when they do speak they should have a range of encouraging comments to show they are listening and engaged

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15
Q

questioning skills

A

in an unstructured interview, there are special skills needed in order for the interviewer to know what follow-up questions should be asked

it’s important to be aware of the questions already asked and to avoid repeating them

it is also useful to avoid probing too much or asking “why” too often, it is best to ask more focused questions, both for the interviewee and also for later analysis of the answers

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