Chapter 6 - surveys and observations

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21 Terms

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Surveys and polls

  • Mean the same thing

  • A method of asking people questions in a standardized format 

    • face to face, written questionnaires, online


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open-ended questions

people are asked a question that allows them to answer in any way they like 

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Forced choice questions

people provide their opinion by selecting the best of two or more options

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Likert scale

people presented with a statement and must indicate their degree of agreements with the statement

  • Ex. on a scale of 1-5

    • 1 (strongly disagree) - 5 (strongly agree)

  • If survey/question is similar to likert scale but differs in one or more dimensions (1 type of time, different anchors/opinions) → called likert-type scale

    • Ex. 1 (easy) - 5 (hard)

    • Questions responses can be set up by question structure

  • Ex. if question premise is based on “agree”

  • Ex. if questions premise is based on “disagree”

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Semantic differential format

people are asked to rate a target using a numeric scale anchored by adjectives

  • Ex. difficulty: 1 (show up and pass) - 5 (hardest thing i've ever done)


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Leading questions

questions whose wording can be biased toward making a particular response

  • Goal is to capture true opinions → questions should be worded as natural as possible 

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Loftus and palmer (1974)

  • Participants were asked how fast cars were going when they smashed each other in a video

  • Leading questions and words can bias ppl to respond a certain way → can influence recollection instances

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Double barreled question

  • question that is actually asking two separate things

    • Ex. do you enjoy swimming and wearing sunscreen?

      • Poor construct validity bc researchers cant be sure which one you are asking to measure/responding to 

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Negatively worded question

  • questions with negative phrasing, can lead to double negatives

    • Ex. Do you believe that people who do not drive with a suspended license should never be punished?

    • Poor construct validity bc researchers cant be sure what the question is asking bc it's too confusing 

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Question order and context 

  • The order questions are asked in can influence how people response

  • Earlier questions can influence how later questions are framed 

    • Ex. participants can be pried to think about subsequent questions in a different way 

  • Miller and krosnick (1998)

    • Found that voters are 5% more likely to vote for the first person on the ballot 

    • How can you control this?

      • Multiple versions of a survey with different question orders that allow you to test for different order effects



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Encouraging accurate responses

  • Do we trust self report?

    • People can give accurate and meaningful responses

      • But need to keep biases in mind

  • Self reporting “more than they can know” 

    • People dont lime answering “idk” so they can make a reasonable guess and pass it off as the truth

  • Self reporting memories of events

    • Unreliable and can change

  • Rating consumer products

    • Ratings can be biased by who bothers to rate, cost of item, and more


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Response set (non-differentiation)

  • people respond to a number of questions in the same way without considering the questions themselves 

  • Ex. response “strongly agree” to all questions 

  • Weakens construct validity → no accurate measure of the respondents opinion 

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2 types of response sets

  1. Acquiescence (yea-saying): people answer positively instead of looking at the question

    1. Solution → word the same question in opposite ways

  2. Fence sitting: people answer neutrally by selecting the center option in a scale

    1. Solution → remove neutral options and use forced choice

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Socially desirable responding/faking good

trying to look better than they are (smarter, stronger thinner, etc)

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Faking bad

trying to look more aggressive, deviant, nastier than they are 

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Observational research

  • Behaviour is observed and systematically recorded

  • Can be better than self report → be cautious - bad observers cna have bad observations 

  • Can be used frequency association, and causal claims 


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Making reliable and valid observations 

  • Construct validity can be threatened by:

    • Observer bias: observers see what they expect to see

    • Observer effects: participants change their behaviour to match observer expectations 

      • Ex. expectancy effects

    • Reactivity: participants change their behaviour as a result of that behaviour being observed 

  • Examples:

    • Observer bias:

      • Being told either positive or negative information on the interviewee can influence opinion on the person 

    • Observer effects:

      • Bright and dull rats

      • Clever hans 

    • Reactivity

      • Jane goodal 

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Preventing observer bias and observer effects

  • Masked (blind) design: study design in which the observers do not know which condition a participant has been assigned to 

    • Ideally, observers don't know what study is about

    • Participant should be in the dark as well

    • Ex. single and double blind studies 

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Preventing reactivity 

  • Wait until person being observed becomes accustomed to the observer

  • Use unobtrusive measures

    • Use one-way observation window or participant observer

    • Person who normally in the setting where the target behaviour occurs 

    • Ex. boss pretends to be a new hire to see the usual behaviour

  • Measure product of the behaviour 

  • Ethics → depends on what the situation is to determine if it is ethically ok to observe people 


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Interviews

  • Count and qualitative methods

    • Researches prepare a series of on-topic questions 

    • Responses recorded/transcribed

    • Analysis for general trends and patterns

    • Informants: ppl who are experts in a topic of interest → can be interviewed to capture their opinions, views, etc 

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Focus groups

  • Interviews conducted on small groups (~6 - 10)

    • Participants have relevant experience to a topic of interest

    • Ex. parents of preschoolers for new children's show

  • Selection of group/sampling is important

    • Do they represent the population of interest?