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Non-sampling Errors in Polls and Surveys Non-sampling Errors in Polls and Surveys

Non-sampling Errors in Polls and Surveys - PowerPoint Presentation

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Non-sampling Errors in Polls and Surveys - PPT Presentation

Dru Rose Methods of Data Collection Surveys and Polls Experimental Studies Observational Studies Dru Rose Polls and Surveys Poll Few questions Multichoice type only Survey Many questions ID: 276298

survey sampling people errors sampling survey errors people bias question effects selection population sources sample rose dru interviewer surveys

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Slide1

Non-sampling Errors in Polls and Surveys

Dru

Rose Slide2

Methods of Data Collection

Surveys

and Polls

Experimental

Studies

Observational

Studies

Dru

Rose Slide3

Polls and Surveys

Poll

Few questions

Multi-choice type onlySurvey

Many questions

May have branches and skips

May have a “tick multiple boxes” option

May have open-ended, write a comment questionsDru Rose Slide4

Non-sampling

Errors

Sampling Errors

(random process)

Selection bias Non-response bias

Self selection bias Question

effects

Behavioural

considerations

Interviewer

effects

Survey-format effects

Transfer

of findings

SamplingSlide5

Target population

(

e.g. adults in NZ)

Sampling

frame

(e.g. households with a landline phone)

Not included in sampling

frame

Not eligible for survey

Cannot be contacted

Refuse to respond

Incapable of responding

SAMPLED

POPULATION

Selection Bias:

Population sampled is not exactly the population of interest.

Slide6

Sources of Non-sampling Errors

Non-response bias When people who have been targeted to be surveyed do not respond:

Potential b

ias if

n

on-respondents are

likley to behave differently to respondents with respect to the question being asked.e.g. Non-respondents in an employment survey are likely to be those who work long hours.Slide7

Sources of Non-sampling Errors Self-selection bias

People decide themselves whether to be surveyed or not.

Dru

Rose Slide8

Self-selection bias:

phone-in or internet pollsSlide9

Self-selection bias

“The Centre for the Study of Higher Education (University of Melbourne) has sought Macquarie's support to survey a representative sample of their academic staff.

Interested

members of staff should contact Professor John Loxton

about obtaining copies of the survey questionnaire.”

 

Staff Newsletter (Macquarie University)

13 November 1998 Slide10

Sources of Non-sampling Errors Question effects

Subtle variations in wording can have an effect on responses.

e.g. “Should euthanasia be legal?”

vs. “Should voluntary euthanasia be legal?”

People are more likely to favour “voluntary” euthanasia.Slide11

18 August 1980 New York Times/CBS News Poll

“Do you think there should be an amendment to the constitution prohibiting abortions?”

Yes 29%

No 62% Later the same people were asked:

“Do you think there should be an amendment to the constitution protecting the life of the unborn child?”

Yes

50% No 39%Slide12

Ethnicity

1986

1991

1996

Single

Ethnicity

94.6

94.3

81.0

European

81.2

78.1

65.8

Maori

9.1

9.6

7.6

Two Ethnicities

4.0

4.5

11.2

European & Maori

2.9

2.7

4.7

Two European gps

0.0

0.6

4.5

Question Effects in the NZ Census

1986: “What is your ethnic origin?

(Tick the box or boxes which apply to you.)

1991: “Which ethnic group do you belong to?”

(Tick the box or boxes which apply to you.)

1996: “Tick as many circles as you need to show which ethnic group(s) you belong to.”Slide13

Sources of Non-sampling Errors Behavioural considerations

People tend to answer questions in a way they consider to be socially desirable.

e.g. pregnant women being asked about their drinking habits

may be reluctant to admit that they drink alcohol

Dru

Rose Slide14

Sources of Non-sampling Errors Interviewer effects

Different interviewers asking the same question can obtain different results.

e.g. the sex, race, religion , manner of the interviewer may influence how people respond to a particular question.

Dru

Rose Slide15

Interviewer Effects in Racial Questions

In 1968, one year after a major racial disturbance in Detroit, a sample of black residents were asked: “Do you personally feel that you trust most white people, some white people or none at all?”

White interviewer

: 35% answered “most”Black interviewer

:

7% answered “most”Slide16

Sources of Non-sampling Errors Survey-format effects

-question order

e.g.

“To what extent do you think teenagers are affected by peer pressure when drinking alcohol ?”followed by:

“ Name the top 5 peer pressures you think teenagers face today.”

-survey layout

-

interviewed by phone or in-person or mail.Slide17

Sources of Non-sampling Errors Transferring findings

Taking the data from one population and transferring the results to another.

e.g. Auckland opinions may not be a good indication of New Zealand opinions.

Auckland

sample

New ZealandSlide18

Non-sampling Errorscan be much larger than sampling errors

are always presentcan be virtually impossible to correct for after the completion of survey

virtually impossible to determine how badly they will affect the resultg

ood surveys try to minimize them in the design of the survey (e.g. do a pilot survey first)Slide19

Surveys / Polls

A report on a sample survey/poll should include:Who carried it out and who funded it

target population (population of interest)sample selection method

the sample size and the margin of errorthe date of the surveythe exact question(s) being askedthe results the claims (inferences) made