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Ordering Your Attention: Response Order Effects in Parallel Phone and Online Surveys Frances M. Barlas ICF International & Randall K. Thomas GfK Government and Academic Research Presented at the 67 th Annual Conference of AAPOR Orlando, FL May 17 May 20, 2012

Ordering Your Attention: Response Order Effects in Parallel Phone … · 2015-01-28 · Ordering Your Attention: Response Order Effects in Parallel Phone and Online Surveys Frances

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Page 1: Ordering Your Attention: Response Order Effects in Parallel Phone … · 2015-01-28 · Ordering Your Attention: Response Order Effects in Parallel Phone and Online Surveys Frances

Ordering Your Attention:

Response Order Effects in Parallel

Phone and Online Surveys

Frances M. Barlas ICF International

&

Randall K. Thomas

GfK Government and Academic Research

Presented at the 67th Annual Conference of AAPOR

Orlando, FL

May 17 – May 20, 2012

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2

Introduction

• The order in which response options are presented

plays a role in respondents’ answer selection

process and has long been shown to affect survey

results (Schuman and Presser, 1981)

• Response order effects occur when respondents

select responses based on the order in which the

responses are presented:

o Primacy effects – higher selection of options when

they are presented early in the response set

o Recency effects – higher selection of options when

they are presented later in the response set

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3

Introduction

• To help understand when and why response

order effects occur researchers have

considered a number of factors including:

oRespondents’ memory and attention span

oRespondents’ age and education

oResponse format

oMode of response presentation

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4

Introduction

• Krosnick and Presser (2010) examined a

number of past studies on order effects

among categorical response options and

observed a pattern:

o Primacy effects are more likely to occur when

alternatives are presented visually

o Recency effects are more likely to occur when

response alternatives were presented orally

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5

Introduction

• Response-order elaboration model -

– Order of response presentation affects the amount

that respondents are able to pay attention to and

process each response.

– Explains mode differences in response order

effects:

• Items presented visually: the degree to which

respondents consider earlier items likely interferes

with their ability to fully consider later items.

• Items presented orally: consideration of earlier

response options is disrupted by the presentation of

the next response option

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6

Introduction

• Response-order effects have often been used to

explain response selection with collections of

categorical responses, but less is known about

selection of ordered responses as occurs with scales.

• Scales have an inherent order and connection

between responses –

– Presentation of one response can lead to a rapid

understanding of the nature of the scale.

– Often the nature of the scale is evident from the

question stem.

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7

Introduction

• Order of responses may have less of a profound

effect when dealing with scales compared to

categorical response options due to the automated

way in which scales are processed.

• Our interest in this study was to compare a set of

questions asked in parallel phone and web surveys

that used the same response formats to examine the

strength and direction of order effects.

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8

Method

Two surveys were fielded in parallel in April 2006:

1. Online survey –

• 3,937 completed interviews

• drawn from the Harris Poll Online panel based on a stratified, random selection on age, sex, region, education, income, and race strata to resemble U.S. general population.

2. Telephone survey –

• 1,008 completed interviews

• Random digit dial sampling within sampling blocks having at least 2 working numbers

• Targeting landlines, not cell phones

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9

Method

Questionnaire:

• There were 27 items fielded in parallel across the two modes with a response order manipulation

• Three types of items were used:

–Political evaluation items – bipolar rating scale

–Economic confidence items – bipolar rating scale

–Expenditure likelihood items – unipolar rating scale

• Response order manipulation:

–Respondents randomly assigned to order of response presentation

– ‘Most to Least’ or ‘Least to Most’

–Assignment was independent within each of the questionnaire sections

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10

Method

Political Evaluation Items

• Three approval rating items

- Approval of President George W. Bush’s handling of job as president

- Approval of President George W. Bush’s economic policies

- Approval of President George W. Bush’s defense policies and military decisions

•Responses: Strongly approve, Somewhat approve, Neither approve nor disapprove, Somewhat disapprove, Strongly disapprove

•Online response options presented vertically, one item per screen.

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Method

Political Evaluation Items – Random assignment to 5 of 8 possible performance evaluation items

1. Democrats in Congress

2. Republicans in Congress

3. Senate Majority Leader Bill Frist

4. House Speaker Dennis Hastert

5 . Vice President Dick Cheney

6 . Secretary of State Condoleezza Rice

7. Secretary of Defense Donald Rumsfeld

8. Attorney General Alberto Gonzales

• Responses: Excellent, Pretty good, Only fair, or Poor

• Online items were presented in grid format, all items presented on a single screen.

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12

Method

Economic Confidence Items

• Random assignment to 4 of 7 possible items.

• Online items presented all on same screen with response options displayed horizontally

1. How would you rate the economic condition of your region of the nation? [Very good, Somewhat good, Neither good nor bad, Somewhat bad, Very bad]

2. How would you rate the current job market of your region of the nation? [Very good, Somewhat good, Neither good nor bad, Somewhat bad, Very bad]

3. How would you rate the economic policies of the national government? [Very good, Somewhat good, Neither good nor bad, Somewhat bad, Very bad]

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Method

Economic Confidence Items (4 of 7 assigned)

4. Compared to a year ago, how has your household’s financial condition changed? [Improved a lot, Improved somewhat, Remained the same, Worsened somewhat, Worsened a lot]

5. What are your feelings concerning the economy of your region of the nation over the next 6 months? [Very optimistic, Somewhat optimistic, Neither optimistic nor pessimistic, Somewhat pessimistic, Very pessimistic]

6. How do you think that the job market in your region of the nation will change over the next 6 months? [Much better, Somewhat better, Remain the same, Somewhat worse, Much worse]

7. Thinking about your household’s current financial situation, do you expect it to be better or worse in the next 6 months? [Much better, Somewhat better, Remain the same, Remain the same, Somewhat worse, Much worse]

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14

Method

Expenditure Likelihood Items

• Random assignment to 5 of 9 possible items

• Online items presented as a grid, with items presented in rows and responses in columns, on a single screen.

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Method

Expenditure Likelihood Items – likelihood in the next 6 months (5 of 9 assigned):

1. Buy or lease a newly manufactured car, truck, or van

2. Move to a different residence

3. Purchase a house or condo

4. Take a vacation costing more than $1000

5. Have more money to spend the way you want

6. Save or invest more money

7. Start a new business

8. Buy a boat or recreational vehicle (e.g., trailer, motor home)

9. Buy a new computer

• Responses: Not at all likely, Somewhat likely, Likely, Very likely, Absolutely certain

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16

Results

• For analyses, all items were range-adjusted to be equivalent on a 0 to 1 scale to allow for greater comparability between scales of different types.

• We first conducted separate analyses for each item.

Phone Online

Number of experiments 27 27

Primacy Effects 18 16

Statistically Significant 3 4

Recency Effects 9 11

Statistically Significant 2 7

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Results

• Next we compared means by mode and response order, after controlling for age, sex, income, education, region of the country, and race/ethnicity.

• Looking across all 27 items, there was a significant mode effect (Phone M=.357; Online M=.273; p<.001), which replicates other findings of reduced positive ratings given online.

• There was not a significant response order effect, but a marginally significant Mode X Order interaction with some tendency for a primacy effect for phone surveys for these scales.

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18

Results – Overall Means

Analysis of overall means controls for age, sex, income,

education, region of the country, and race/ethnicity covariates.

0

0.05

0.1

0.15

0.2

0.25

0.3

0.35

0.4

0.45

0.5

0.55

0.6

Least to Most Most to Least

Phone

Online

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19

Results –Means for Political Items

(bipolar scale)

Analysis of overall means controls for age, sex, income,

education, region of the country, and race/ethnicity covariates.

0

0.05

0.1

0.15

0.2

0.25

0.3

0.35

0.4

0.45

0.5

0.55

0.6

Least to Most Most to Least

Phone

Online

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20

Results –Means for Economic Items

(bipolar scale)

Analysis of overall means controls for age, sex, income,

education, region of the country, and race/ethnicity covariates.

0

0.05

0.1

0.15

0.2

0.25

0.3

0.35

0.4

0.45

0.5

0.55

0.6

Least to Most Most to Least

Phone

Online

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21

Results –Means for Expenditure

Likelihood Items (unipolar scale)

Analysis of overall means controls for age, sex, income,

education, region of the country, and race/ethnicity covariates.

0

0.05

0.1

0.15

0.2

0.25

0.3

0.35

0.4

0.45

0.5

0.55

0.6

Least to Most Most to Least

Phone

Online

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22

Results – Pooled Analysis

The pooled analysis, combining all items within each specific item section showed few response order effects:

• The only significant response order effect (p<0.05) for the telephone administration occurred in the political items section, a primacy effect.

• With the online administration, there were significant differences with the political items (recency effect) and expenditure likelihood items (primacy effect), but not the economic items.

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Results - Validity

• We used the 18 items that reflected political and economic evaluations as predictors of political party ID, using a regression approach to allow us to statistically evaluate the impact of mode and response order on validity.

• Political party identification was used as the primary dependent variable for validity purposes since it used a different measurement methodology than the measures of interest, a branching strategy – first asking for party identification, with a follow-up asking strength of identification and for independents the direction they lean. The branching strategy randomly alternated the presentation of ‘Democrat’ and ‘Republican’.

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Results - Validity

• We found that the effect of Mode was significant (p<.001), with online measurement having significantly higher correspondence between the political and economic measures with political party identification.

• Response Order was also significant (p<.001) with the ‘Least to Most’ order having higher validity in both modes of survey administration.

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Results: Predictive Validity- Adjusted R2

Predicting Party ID with Political and Economic Items

0

0.05

0.1

0.15

0.2

0.25

0.3

0.35

0.4

0.45

0.5

Telephone Online

Least to Most

Most to Least

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Conclusions

• The effects of response order appeared to be modest at best in both online and telephone modalities for the items we studied.

• There was no clear pattern of primacy and recency effects by mode of survey administration, as has been observed with categorical response options.

• Means on the phone were found to be higher generally, replicating other findings that respondents are more likely to use positive categories in evaluations with a human interviewer.

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Conclusion

• There was some evidence to support that presenting categories in a ‘Least to Most’ fashion may be associated with higher levels of validity for both telephone and online surveys.

• These findings may be qualified by the nature of the scales we used – most were evaluative bipolar scales and most were presented in a grid format online.

• More research is needed to compare response order effects with different types of scales and to further investigate the impact of mode and response order on measurement validity.