Top Banner
September 23-26, 2014 Ramada Hotel Berlin-Alexanderplatz Organized by #MRMW
36

Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Aug 20, 2015

Download

Business

Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Page 1: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

September 23-26, 2014 Ramada Hotel Berlin-Alexanderplatz

Organized by

#MRMW

Page 2: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Title Sponsor Gold Sponsors

Silver Sponsors

Premier Sponsor Bag Sponsor Workshop Sponsors

MRMW Berlin Sept. 23-26, 2014 #MRMW

Page 3: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Association & Media Partners

Event App Partner

Networking Reception Partner Exhibitor

MRMW Berlin Sept. 23-26, 2014 #MRMW

Page 4: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Exploring optimal survey design for mobile web – a scientific

perspective

1

perspective

September 23-26, 2014Berlin

Aigul Mavletova

NRU Higher School of Economics, Russia

Page 5: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

OMI – Online Market Intelligence

In collaboration with:

2

Mick Couper, Institute for Social Research,University of Michigan

Page 6: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Outline

The main focus: breakoff rates

•Scrolling vs. paging design

•Scrolling design:o the number of questions presented on the pageo survey with user-controlled skips vs. survey without

3

o survey with user-controlled skips vs. survey withoutskips in the scrolling design

•SMS vs. e-mail

•Meta-analysis of breakoff rates

Page 7: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Breakoff rates: non-optimized vs. PC vs. mobile optimized

5%

10%

15%

20%

25%

30%

35%

40%

Diff=2

Diff=2.1

Diff=2.2Diff=3.5

5%

10%

15%

20%

25%

30%

35%Diff=1.1

Diff=1.9

Diff=4.7

Diff=9

Non-optimized vs. PC Mobile optimized vs. PC

4

0%

5%

Bosnjak et al., 2013

Guidry, 2012 McClain et al., 2012

Schmidt and Wenzel, 2013

0%

2%

4%

6%

8%

10%

12%

14%

16%

18%

20%

Baker-Prewitt, 2013 Peterson et al., 2013 Stapleton, 2013 Wells, Bailey, and Link, 2013

Non-optimized mobile

PC

Mobile optimized

Diff=3.6

Diff=2.6 Diff=3.3

Diff=1.3

Diff=5.3

Diff=2.7

Diff=5Diff=4

0%

5%

Buskirk and Andrus, 2014

Lattery, Park Bartolone, and Saunders, 2013

Mavletova and Couper, 2013

Mavletova, 2013

Page 8: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Participation rates and completion times

Participation rates twice lower in mobile than PC web

Completion times ≈ 50% longer in mobile than PC web

5

Page 9: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

43%

79% 84%

50%

60%

70%

80%

90%

Mobile traffic and breakoff rates

6

23%

43%

18% 17%

0%

10%

20%

30%

40%

2012 2013 Q3’12 Q3’13

Mobile traffic Breakoff rates

MobilePC

Page 10: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

•20% mobile respondents

Mobile breakoff rates: 41%PC breakoff rates: 24%

Should we care?

7

≈ 3 million partial mobile web interviews per year (Jue andLuck, 2014)

≈ 10 million annual breakoffs in the US

Page 11: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Survey design: paging vs. scrolling

The overall layout should minimize the need for scrolling (eitherhorizontally or vertically) to the extent possible.

Report of the AAPOR Task Force on EmergingTechnologies in Public Opinion Research (April, 2014)

8

horizontally or vertically) to the extent possible.

The number of questions per screen should generally be two orless to minimize scrolling.

Page 12: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Paging vs. scrolling design

McGeeney & Marlar (2013): higher breakoff rates in thepaging version than in the scrolling version (13% ofmobile respondents; a 7-item and 13-item survey)

9

mobile respondents; a 7-item and 13-item survey)

Page 13: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Paging Scrolling

Experimental design

17 pages 2 pages

•Volunteer online access panel - Online Market Intelligence

10

•Volunteer online access panel - Online Market Intelligence

•April, 2013, Russia

•Software: Unipark

•2,110 respondents: 4,000 invitations, participation rate=52.8%

(1 invitation, 1 reminder)

Page 14: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Experimental design

Paging Scrolling

11

Page 15: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Participation and breakoff rates

53.8% 49.9%

8.0%+

51.8% 48.6%

10.2%+20.0%

30.0%

40.0%

50.0%

60.0%

ScrollingPaging

12

74% - smartphones9% - feature phones3% - tablets14% - PC

8.0%+10.2%+

0.0%

10.0%

Participation rate Participation rate (mobile devices only)

Breakoff rate

Chi-square (df=1), + p<0.07

Page 16: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Scrolling vs. paging

4.5*** 4.9***

9.1***6.6***

0123456789

10

Objective mean completion time Subjective evaluation of

ScrollingPaging

Completion times (minutes)

13***p<0.001

Objective mean completion time Subjective evaluation of completion time

18.9%***

1.8%

25.8%***

1.4%0.0%

5.0%

10.0%

15.0%

20.0%

25.0%

30.0%

Technical difficulties Item nonresponse

ScrollingPaging

Technical difficulties and item nonresponse rate

Page 17: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Implications

Scrolling design makes the process of completing the surveyeasier in mobile web mode.

14

Page 18: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Scrolling - 2

ü Does the number of questions presented on the page have an effect on data quality in a scrolling design?

Research questions

15

ü Is it different in a survey with user-controlled skips and in a survey without skips in the scrolling design?

Page 19: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Skips

Experimental design

Without skips

With skips

16

GO TO Q8

Page 20: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Skips

Experimental design

Number of itemson page

5 items (6 pages)

15 items (2 pages)

30 items (1 page)

Without skips

With skips

17

ü Volunteer online access panel - Online Market Intelligence

ü 10 minute survey

ü October, 2013, Russia

ü Software: Unipark

ü 7,740 SMS invitations, 2,032 respondents, participation rate=26.8%

Page 21: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Participation and breakoff rates

26.1%

13.1%

26.4%

13.4%

10.0%

15.0%

20.0%

25.0%

30.0%

Without skipsWith skips

18

0.0%

5.0%

Participation rate Breakoff rate

91% - smartphones5% - feature phones3% - tablets2% - PC

Page 22: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Breakoff rates

10.7%13.3%

15.3%13.5% 12.7%

14.0%

8.0%

10.0%

12.0%

14.0%

16.0%

18.0%

Without skips With skips

19

0.0%

2.0%

4.0%

6.0%

30 items per page

15 items per page

5 items per page

30 items per page

15 items per page

5 items per page

Page 23: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

7.7 8.5 8.76.6 7.3 8.0

0

2

4

6

8

10

30 items per page

15 items per page

5 items per page

30 items per page

15 items per page

5 items per page

With skips***Without skips**

Completion times (minutes)

20** p<0.01, *** p<0.001

7,3%

4,7%3,3%

7,8% 7,2%

1,9%

0123456789

30 items per page

15 items per page

5 items per page

30 items per page

15 items per page

5 items per page

Item nonresponse rate

Page 24: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Implications

üSurvey with skips do not produce higher breakoff rates.

üThe optimal trade-off between breakoff rates, completion

times, and item nonresponse rates:

21

15 items per page in the survey without skips

5 items per page in the survey with skips

Page 25: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Experimental design

Invitation Reminder

SMS E-mail E-mailwithout URL

SMS vs. e-mail

22

SMS + + +E-mail + + -

Questionnaire:17 items

Page 26: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Participation rates

52.7% 51.3%***43.7%***

30.0%

40.0%

50.0%

60.0%

SMS

E-mail

23 ***p<0.001

10.5%***5.7%***

0.0%

10.0%

20.0%

Participation rate Participation rate (mobile devices only)

Breakoff rate

E-mail

Page 27: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Participation rates

60.9% 54.6% 53.2% 48.7%

44.1%

53.5% 52.4% 52.1%47.7%

32.8%30.0%

40.0%

50.0%

60.0%

70.0%

Participation rate

Participation

24p<0.001

0.0%

10.0%

20.0%

30.0%

E-mail-SMS SMS-E-mail SMS-SMS SMS-E-mail without URL

E-mail-E-mail

Participation rate (mobile devices only)

Page 28: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Implications

üSMS invitation is more efficient for increasing participation

rates in mobile web.

üUsing e-mail invitation-SMS reminder modes increases the

25

overall participation rates.

Page 29: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Meta-analysis: breakoff rates

Inclusion criteria:

(1) Based on online panels (probability and non-probability)

(2) Assigned to mobile web survey mode without having anopportunity to choose the device or could select their preferreddevice

26

(3) Studies could be either browser-based or app-based

(4) Available relevant statistics on breakoff rates and moderators

→ 14 studies with 39 independent samples

Page 30: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Forest plot: breakoff rates (log transformed proportions)

27

Page 31: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Significant factors (odds ratios)

0.70.5

0.70.9

0.40.6

1.21.4 1.3

1.9

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

2

28

0

0.2

Page 32: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Implications

Breakoffs can be decreased by:

üMobile optimization

üLess complex survey design

üShorter surveys (modular mobile web surveys?)

29

üLarger number of reminders

üScrolling design

Participation rates can be increased:

by SMS invitation (or by sending e-mail invitation-SMSreminder)

Page 33: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Thank you!

Aigul Mavletova, PhD

30

[email protected]

Page 34: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Title Sponsor Gold Sponsors

Silver Sponsors

Premier Sponsor Bag Sponsor Workshop Sponsors

MRMW Berlin Sept. 23-26, 2014 #MRMW

Page 35: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

Association & Media Partners

Event App Partner

Networking Reception Partner Exhibitor

MRMW Berlin Sept. 23-26, 2014 #MRMW

Page 36: Exploring optimal survey design for mobile web - a scientific perspective - Higher School of Economics

September 23-26, 2014 Ramada Hotel Berlin-Alexanderplatz

Organized by

#MRMW