methods: self-report data Flashcards
what is a survey and what is it used for in research?
- a survey is a self-report method
- used to gather information about:
- how people feel
- their attitudes and opinions
- personality types and other traits.
- designed to collect a large amount of info
- can be conducted through:
- questionnaire
- large-scale interview
what are key features of questionnaires as a research method?
- designed to gather a large amount of data
- access a large sample of ppts
- can be administered by:
- post
- face to face
- online
- often include questions about:
- attitudes
- opinions
- lifestyles
- any aspect of a person’s life
what types of data can questionnaires gather, and how are they defined?
- quantitative data:
- can be converted into numbers
- provides numerical information
- qualitative data:
- non-numerical
- presented in prose form
- a single question can yield either quantitative or qualitative data
what are closed questions and what type of data do they yield?
- closed questions have preset fixed answers
- respondent selects the answer that best matches their opinion (by circling or ticking)
- can be yes/no response questions or have a list of options
what are the advantages and disadvantages of closed questions?
- advantages:
- easy and quick for respondents to answer
- easy for researchers to analyse data
- disadvantages:
- can be frustrating if answers do not match what the participant wants to express
- limited in the amount of information that can be analysed
- doesn’t provide insight into why respondent answered in certain way
- level of detail obtained is limited
- solution: attitude scales have been designed to increase level of detail in questionnaires
what are attitude scales and likert-type scales, and how are they used?
- attitude scales:
- offer more than yes/no response
- provide range of options to gauge the strength of a respondent’s opinion
- likert-type scale:
- involves selecting from a fixed set of choices to rate agreement with a series of statements
- used to measure attitudes or opinions in more detail
- eg a likert scale was used in the Adorno et al. survey on authoritarianism
what are likert scales and ranked scales, and how are they scored?
- likert scales:
- respondents rate their opinion on a series of statements
- measures the strength of agreement or disagreement
- ranked scales:
- respondents rank their choices relative to other options
- each preference is given a weighting (eg, most preferred = higher weighting)
- eg if ranking animals by how fearful they are, the most feared animal gets the highest score
- animal with highest score represents most feared animal.
what are open questions and what are their advantages and disadvantages?
- open questions:
- do not have pre-set answers
- allow respondents to answer freely and elaborate on their responses
- enable respondents to justify their opinions
- advantages:
- provide more detailed responses
- allow for deeper insights and explanations
- disadvantages:
- require more time and effort from respondents
- responses need qualitative analysis, which can lead to subjective interpretation by the researcher
weakness of questionnaire design: social desirability
- occurs when respondents give answers that portray them in a more favourable light
- respondents answer in ways that align with prevailing social norms (eg avoiding controversial opinions)
- eg few respondents would agree with segregation or claim heterosexuality as the only natural sexuality due to social norms
- can be problematic in research on socially sensitive issues or attitudes against social norms
- many questionnaires have inbuilt lie detectors to identify socially desirable responses
- if too many responses are socially desirable, the respondent’s questionnaire may be excluded from analysis
weakness of questionnaire design: question construction
- researchers avoid technical, ambiguous, or complex questions
- ensure questions are easy for respondents to understand
- do not prompt respondents to give a particular answer
- avoid personal questions that violate the right to privacy
- designing likert scale statements:
- consider the number of options:
- odd number of options: middle value may be selected more frequently
- even number of options: forces a choice, preventing a “neutral” or “neither agree nor disagree” response
what is response bias (response acquiescence) in likert-style scales, and how can it be avoided?
- occurs when respondents agree or disagree with all statements without carefully considering each one
- can happen if all statements are worded favourably or unfavourably
- avoiding:
- reverse statements: alternate between positive and negative wording
- mix up statements: prevent respondents from simply agreeing or disagreeing with all answers
- eg favourable statement: “marriage helps society to function.” reversed statement: “society doesn’t help marriage to function”
what are demand characteristics? (weakness of questionnaire design)
- occur when characteristics of a question or features of a study give clues to ppts about the expected answer(s)
- can lead ppts to respond in ways that align with what they think the researcher wants
what is reliability in questionnaires, and how is external reliability tested? (problems in questionnaire design)
- reliability: refers to the consistency of a measure or finding
- external reliability: consistency of a measure over time
- internal reliability: consistency within the measure itself
- test-retest method: used to check external reliability
- same people complete the same questionnaire on a different occasion
- if responses are the same or very similar, external reliability is established
what is internal reliability, and how can it be tested? (problem in questionnaire design)
- internal reliability: refers to the consistency of a measure within itself, especially when multiple questions are used to measure the same trait or attitude
- problem: different questions may not equally measure same concept
- split-half method:
- split the questionnaire into two halves and compare the findings from both halves
- if both halves achieve the same score, it suggests the questions measure the same concept
- if the scores differ, it suggests some questions may measure a different concept
what is validity, and how can it be established in a questionnaire? (problem in questionnaire design)
- validity: refers to the extent to which a questionnaire measures what it intends to measure
- eg questionnaire measuring attitudes about education should only measure that attitude
- face validity: established by looking at each question to ensure it makes sense in terms of the construct being measured (eg attitudes about education)
- can also be confirmed by asking an expert to review the questions
- predictive validity: measures the ability of the questionnaire to predict same construct in the future
- eg intelligence test with predictive validity should correlate with future educational success (e.g., A-level or degree grades).
- concurrent validity: established by comparing the questionnaire to another test that measures same construct
what are interviews?
- can be used in a survey if they are administered to a large sample
- more likely when using a structured interview
what are structured interviews, and what are their advantages and disadvantages?
- defined by a set format with standardised questions asked in the same way to all respondents
- often use closed questions to gather quantitative data
- advantages:
- easy to administer to large samples
- no need to establish rapport between researcher and respondent
- disadvantages:
- data can be superficial and lack depth
- respondents may feel stifled and unable to fully express their opinions
- can be as frustrating as answering closed questions in a questionnaire
what are semi-structured interviews, and how do they differ from structured interviews?
- more conversational and dynamic compared to structured interviews
- researcher has a set of questions but does not follow a rigid format
- allows for a more natural flow of conversation while still aiming to achieve research goals and gather relevant info
- advantages:
- can gather both quantitative and qualitative data
- more flexible, allowing for deeper insights than structured interviews
what are unstructured interviews, and what skills are required from the interviewer?
- begin with a loose research aim and gather qualitative info from respondents
- unlike structured interviews, there is no fixed set of questions, the interview is more conversational
- skills required:
- needs to be analytical to probe and seek meaning from respondents
- must establish good rapport with respondents and be responsive to the information shared
- requires good listening skills and should use non-judgmental language
what ethical issues are important when conducting unstructured interviews?
- confidentiality: respondents’ details should be anonymised and personal details disguised
- right to privacy: interviewer must handle personal information sensitively to avoid breaching the respondent’s right to privacy
- sensitive questions: due to reflexive nature of unstructured interviews, interviewer should be careful when asking for personal information to avoid making respondents uncomfortable
- ethical consideration: direct quotes from respondents need to be handled ethically, ensuring that no harm comes from the qualitative data gathered
weakness in interviews: researcher effects
- sex, age, manner, and personality of the interviewer can influence how respondents answer questions.
- these characteristics can affect:
- whether a respondent is truthful
- whether they disclose certain information at all
- controlling for researcher effects:
- predict potential biases based on interviewer characteristics
- eg male interviewer might not obtain detailed information from a female participant about sensitive topics like marriage.
- can be controlled by employing an interviewer of the opposite sex (eg using a female interviewer for a female participant).
what is an alternative hypothesis, and how is it formulated in a study?
- prediction about what is likely to occur in the study
- contains the variables under investigation
- should be a clear, testable, and precise statement
- formulating the hypothesis:
- often guided by previous research in the topic area
- if there is limited research or mixed findings, the hypothesis may just predict that a difference or relationship might exist between the variables, without specifying the direction of the difference/relationship