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10/11/2016 1 Advanced Topics in Web Surveys SOWMYA ANAND SURVEY RESEARCH LABORATORY Notes Please hold your questions until the end Slides available at http://www.srl.uic.edu/SEMINARS/semnotes.htm Please raise your hand so that I can see that you are able to hear me Trends in Survey Data Collection, by Mode, of U.S. Academic Centers 3 0.0% 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% 1995 1997 1999 2001 2003 2005 2007 2009 Survey Mode, by Year: Regression Lines Web Phone In Person Mail Survey Software Numerous web survey software packages now available Most recent count upwards of 250 http://www.capterra.com/survey-software/ University services https://answers.uillinois.edu/illinois/page.php?id=51271 http://accc.uic.edu/service/surveys SRL uses Surveygizmo Qualtrics Devices on which surveys can be taken This webinar… Focuses on interactive surveys that respondents access using the Internet Does not cover Question Wording Sampling issues Response rates Programming Focuses on visual and other design aspects Data quality

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Page 1: Advanced Topics in Web Surveys Fall 2016 Topics in Web... · Advanced Topics in Web Surveys SOWMYA ANAND SURVEY RESEARCH LABORATORY ... A lot of research conducted about visual design

10/11/2016

1

Advanced Topics in Web SurveysSOWMYA ANAND

SURVEY RESEARCH LABORATORY

Notes

Please hold your questions until the end

Slides available at http://www.srl.uic.edu/SEMINARS/semnotes.htm

Please raise your hand so that I can see that you are able to hear me

Trends in Survey Data Collection, by Mode, of U.S. Academic Centers

3

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

80.0%

90.0%

1995 1997 1999 2001 2003 2005 2007 2009

Survey Mode, by Year: Regression Lines

Web

Phone

In Person

Mail

Survey Software

Numerous web survey software packages now available

Most recent count upwards of 250 ◦ http://www.capterra.com/survey-software/

University services◦ https://answers.uillinois.edu/illinois/page.php?id=51271

◦ http://accc.uic.edu/service/surveys

SRL uses◦ Surveygizmo

◦ Qualtrics

Devices on which surveys can be taken

This webinar…

Focuses on interactive surveys that respondents access using the Internet

Does not cover◦ Question Wording

◦ Sampling issues

◦ Response rates

◦ Programming

Focuses on visual and other design aspects◦ Data quality

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List of topics

Email invitations

Scrolling versus paging

Progress indicators

Open ended questions

Single item questions

Multiple item questions

Other issues

Email invitation

Email invitations: Greeting

Personalization improves response rate (Heerwegh, 2005; Heerwegh & Loosveldt, 2006)

◦ Form not important

Why does it work?◦ Makes respondents feel more important and valued

◦ Norm of reciprocity

◦ Reduces diffusion of responsibility

◦ Email sent to an individual versus a group

◦ Personalization double edged sword

◦ Increases accountability

◦ Could increase socially desirable responding (Heerwegh & Loosveldt, 2006), or

◦ Affect responses to sensitive questions (Joinson, Woodley, & Reips, 2007)

Email invitations: Other aspects

Subject line◦ Plea appeal

◦ “Please help…” (Felix & Burchett, 2011; Troutead, 2004)

◦ Mentioning prizes◦ “Win a weekend for two” (Kent & Brandel, 2003)

Content of email◦ Scarcity

◦ Selected few

◦ Deadline

◦ Length of email◦ Shorter is not necessarily better (Kaplowitz, Lupi, Couper, & Thorp, 2012; Klofstad, Boulianne, & Basson, 2008)

◦ Placement of survey link◦ Earlier is not necessarily better (Kaplowitz et al., 2012)

Email invitations: Other aspects

Effects depend on various factors◦ Source of survey

◦ Relationship with respondents

◦ Motivation of respondents

Email invitations: Examples

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Scrolling versus Paging

Scrolling versus Paging

Break offs◦ No difference (Lozar Manfreda, Batagelj, & Vehovar, 2002)

Item non-response◦ More in scrolling design (Lozar Manfreda et al., 2002)

Response time◦ Less with scrolling design (Couper, Traugott, & Lamias, 2001; Lozar et al., 2002; Toepel, Das, & Van Soest, 2009)

Skips or branching◦ Better with paging design

Saving responses◦ Available mainly with paging

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Progress IndicatorsProgress Indicators

Motivate respondents to complete the questionnaire in the absence of an interviewer

Indicates how long the questionnaire is

◦ Does not necessarily work well in questionnaire with branching or skips

Transition sentences are an alternative

Many options for positioning and format

Progress Indicators

Empirical evidence regarding effectiveness not clear• Respondents notice when it is not provided (Lozar Manfreda et al., 2002)

• More completed surveys with progress indicator (89.9%) than without (86.4%) (Couper et al.,

2001)

• No reduction in breakoff• If anything, slight increase (Villar, Callegaro, & Yang, 2013)

Best used for• Short surveys

• With minimal branching or skips

• That move at a fairly consistent pace

Open ended questions

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Open ended questions

Elicits longer, richer information than other types of self-administered surveys (Barrios, Villarroya, Borrego, & Olle, 2011)

Size of text boxes can indicate the amount of information expected◦ Larger boxes increase length of responses provided (Dennis et al., 2000; Smyth, Dillman, Christian, & McBride,

2009)

But also increases perceived burden (Zuell, Menold, & Korber, 2015)

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Single item questions

Single item questions

Radio button requires one to have a degree of motor control (Lumsden, 2007)

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Single item questions

Horizontal or vertical orientation does not appear to matter (Toepoel et al., 2009)

Ability to uncheck selected response

Single item questions

Long lists require consideration◦ Branching/Drill down

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Single item questions

Long lists require consideration◦ Dropdown menu

Single item questions

Dropdown menus do affect data quality◦ Options not visible upfront

◦ Primacy effect (Couper, Tourangeau, Conrad, & Crawford, 2004)

◦ Longer time to respond (Healey, 2007)

Use only when necessary

Single item questions

Continuous rating scales◦ Visual Analog Scales, Graphic Rating Scales, Slider Bars

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Single item questions

Continuous rating scales◦ Work best with respondents experienced with using computers (Funke, Reips, & Thomas, 2011)

◦ More time to complete, more missing data, ambiguity about responses (Bayer & Thomas, 2004;

Couper, Tourangeau, & Conrad, 2006)

Single item questions

Continuous rating scales◦ More disadvantages than advantages

Multiple item questions

Tables or grids◦ Many items on a single screen

Multiple item questions

Tables or grids◦ Many items on a single screen

◦ Reduces number of screens respondents have to page through

◦ Could reduce cognitive burden

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Multiple item questions

Alternate row shading (e.g., Crawford, McCabe, & Pope, 2005)

Multiple item questions

Column spacing (Tourangeau, Conrad, & Couper, 2013)

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Multiple item questions

Column scrolling

Multiple item questions

Row scrolling

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Multiple item questions

Various disadvantages of using grids/matrices◦ More complex matrices increase respondent burden (e.g., Fricker, Galesic, Tourangeau, & Yan, 2005)

◦ Missing responses to items increase (e.g., Lozar Manfreda et al., 2002)

◦ Potential breakoff point (e.g., Henning, 2011)

Minimize use◦ Avoid complex tables

Other issues

•White or off-white backgrounds seem to work best• Background colors can create contrast & reading problems

• Black-on-white web pages seen as being more ‘professional’ than white-on-black web pages

• Couper (2008) prefers light blue backgrounds

•Do not overuse color but use it consistently• Use red only for emergency messages

• Red-green distinctions a problem with persons who are color-blind

• 10% of males are color blind

• 99% of color blind persons cannot distinguish green & red

Other issues

Top and left positions are interpreted as more positive or more frequent◦ Respondents expect rating scale to start at positive end

◦ Items at top of screen evaluated more favorably (Tourangeau, Couper, & Conrad, 2013)

Other issues

Never force respondents to answer a question◦ Adds to frustration

◦ IRB implications

◦ No other questionnaire formats ‘force’ answers

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Some final thoughts

A lot of research conducted about visual design for Web surveys◦ But also tremendous opportunity for research in this area

Keep in mind principles of ◦ Minimizing cognitive burden

◦ Minimizing task difficulty

◦ Using visual design to motivate respondents to keep progressing through questionnaire

References

Callegaro, M., Manfreda, K. l., & Vehovar, V. (2015). Web survey

methodology. Sage.

Tourangeau, R., Conrad, F. G., & Couper, M. P. (2013). The science of web surveys. Oxford University Press.