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RESEARCH QUALITY


       Moderator
       Gian Fulgoni
       Chairman
       comScore, Inc.
2
3
“She’s got to stop
calling me “her
little Danny.”




                     4
5
BOSS




       6
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8
?   ?

        9
“Money is tight
so you’ve got
to get it right.”




                    10
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TOPIC

Should We Dismantle the Factory?
An Approach to Evaluate Data Collected from Multiple Sample Sources and
Generated through Different Approaches
DATE

21 March 2011

George Terhanian, Ph.D.                                                   15
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The Early Days
Advocates of online research sang its praises in the
1990s

   “Online research is an unstoppable train. And it is
   accelerating. Those who don’t get on board run the risk
   of being left far behind.”


     Humphrey Taylor & George Terhanian (1999). “Heady Days Are Here
       Again. Online Polling is Rapidly Coming of Age.” Public Perspective
Critics compared those advocates to the sirens who
summoned Ulysses’ sailors to their doom


   “A growing number of survey researchers are
   unfortunately being led to the rocks like Ulysses’
   sailors following the Siren call of cheap, but worthless,
   data.”

      Warren Mitofksy (1999). “Pollsters.com.” Public
      Perspective
The remarkable growth of online research has
silenced most critics
            US and Europe Spending ($Millions)
The continuing growth of online research is creating
supply challenges and stimulating innovation


                       Rivers
                  +             +
  Access Panels
                                      Communities
It’s also heightening concerns about data quality and
representativeness—many buyers have many
questions about the new sample sources

                              “What are
                              the biases?”
                            “How do I put the
                            pieces together?”
Some argue that consistency is king but the
argument overlooks the importance of accuracy




                                  New
                                Hampshire
The final forecasts

                      Obama Clinton




                                        New
                                      Hampshire
Barack Obama probably slept more easily than
Hillary Clinton on the eve of the election
Barrack Obama lost the election by three
percentages points. What were the chances?




  .05 to the 13th power = 1 in ? trillion
Other challenges continue to confront online
research, including unwieldy assembly lines
How agencies regard potential survey respondents
has not changed much through the years either
Some agencies are beginning to collect many
different types of information, all of which can be
linked to specific individuals, and re-used

                            Online behavioral
           Video Blogging   measurement (e.g., sites visited,
                            advertisements seen)
      Moderated
      Discussions
                                           Off-line behavioral
                                           measurement (e.g.,
                                           footprint via GPS within
                                           phone)


                                              Surveys


                                          Information
                                          from CRM
                                          systems
Some experts feel that even more change is on its
way: the DIY market has already surpassed $500M
How does it work? One example
What about the problem of self-selection?
Garbage in, garbage out? Not necessarily…
Experimenters have been dealing with the
problem of self-selection for decades to make fair
comparisons and to estimate causal effects

•   Smokers vs. Non-Smokers?
    –   Does smoking cause cancer? How do we know?
•   Mastectomy vs. Conservation?
    –   Which one is more effective? How do we know?
•   And so on? Possibly…
    –   Phone vs. F2F vs. Panel vs. River vs. Social
        Community….
Figuring out how to replicate the randomization of
the coin flip is crucial
Ideas on how to address the survey self-selection
problem were introduced about 60 years ago

 “Since it would not have been feasible for Kinsey, Pomeroy,
  and Martin to take a large sample on a probability basis, a
  reasonable probability sample would be, and would have
  been, a small one and its purpose would be:


   – to act as a check on the large sample, and
   – possibly, to serve as a basis for adjusting the results of
     the large sample.”


   Cochrane, Mosteller & Tukey, 1954, p. 2

                                                              38
Change a few words around, and you’ve nearly
solved the problem
Since it would not have been feasible...to take an ONLINE sample on a
 probability basis, a reasonable probability sample would be, and would
 have been, a TELEPHONE one and its purpose would be:
   – to act as a check on the ONLINE sample, and
   – possibly, to serve as a basis for adjusting the results of the
     ONLINE sample
               Census
                     Non-Online        Online                    Online
                       Users      +    Users                     Users


                                                    Logistic model predicts
                                                   probability, or propensity
                                                     score, of participating
                                                      in the RDD survey 39
What does might this mean for the DIY market?
The same information but faster and cheaper?


             $800 per question, n =1010, 5 days




             $400 per question, n=1100, 2 days




             $200 per question, n=1100, < 1 day
What Does the
Evidence Suggest?
Data Collection Details (US Adults, 18+)
1. Telephone: 1,019 completed interviews among respondents residing
   in private households in the continental US. They were contacted
   through random-digit-dialing. $800 per question.
2. Online Panel: 1,100 completed interviews among members of
   Toluna’s online panel who were invited by email. $400 per question.
3. Online River: 1,100 completed interviews among non-members of
   Toluna’s online panel who were directed to the survey after clicking
   through an advertisement or link on the Internet. $400 per question.
4. Social among 1,100 completed interviews among members of
   Toluna’s social voting community who were invited through Toluna’s
   DIY QuickSurvey (TQS) service. $200 per question.

   Data Collection Dates:
   Phone: February 23-27, 2011
   Date Collection, Online: February 28-March 3, 2011
Topics Covered (the “dependent variables”)

1. General: Quality of health, Approval for Obama, Degree of
   religiousness, Own passport, Possess driver’s license, Smoke
   cigarettes, TV viewing per week
2. Attitudes Towards Privacy: AIDS screening at work,
   unsolicited calls for selling purposes, cookies on computers to
   track, airport searches based on visual profiles
3. Technology Ownership: Smartphone, Digital Camera, Tablet
   computer, Game console, Satellite radio, eBook reader
4. Online Behaviors (since 1/1/11): Made purchase, Banked, Used
   social network/media application, Uploaded picture, Watched
   Video, Participated in Auction
Sample Selection and Weighting Adjustments
1. Telephone
     – Sample Selection: 50/50 Male/Female ratio within major regions
     – Weighting Factors: region, gender*age, race, ethnicity, education, income,
       number of adults in household, lived in home without landline in past two
       years. Denominated as “demographic weighting”.
2. Online Panel, River, Social
     – Sample Selection: Minimum quotas for region, gender*age, race, ethnicity,
       education
     – Weighting Factors by Target Population:
        1. General Population: Same as telephone--”demographic”
        2. Online (only) Population: Same factors as telephone, with percentages
           determined through telephone survey rather than Census--
           ”demographic”
        3. Propensity Score: Several attitudes and opinions reflecting views
           towards environment, new things, politics, personalization
Benchmark Choices and Assessment Approach

1. Benchmarks
    – Official government data: Percent of adults with a driver’s
      license
    – Telephone responses
2. Point of Comparison
    – The difference between each question’s modal response (i.e.,
      the proportion of respondents who select it) and the
      benchmark’s.
    – The survey/source with the lowest (average) score relative to
      the benchmark will be considered the most accurate.
General Questions, Dem & Propensity Score


Modal Response                   Benchmark   Panel   River   Social
Health "Good"                      32.3      31.6    33.7    31.5
Obama, "Approve"                   46.6      51.8    46.6    50.7
"Moderately" Religious             40.2      37.5    41.4    36.8
Passport, "Do not Own"             56.7      54.6     59      54
Driver's License, "Have"           85.5      85.9     85     84.8
Smoke Cigarettes, "Not at all"     79.4       83     76.5    77.3
TV Watching, "2 hrs per Week"      25.5       19     20.3    19.9
       Mean Deviation               --        3.0    1.9      2.8
Attitudes Towards Privacy, Dem & Propensity Score




Modal Response                     Benchmark   Panel   River   Social
AIDS Screening, "Violation"          53.5      52.1     46     50.1
Unsolicited Calls, "Violation"       67.3      75.4    73.9    74.1
Cookies, "Violation"                 65.8      64.9    68.6    64.1
Airport Searches, "No Violation"     60.4      60.1     61     62.8
        Mean Deviation                --        2.7    4.4      3.6
Technology Ownership, Dem & Propensity Score



Modal Response              Benchmark   Panel   River   Social
Own Smartphone, "No"          58.8       65     63.7    62.7
Own Digital Camera, "Yes"     73.4      79.5    77.5    79.1
Own Tablet, "No"              91.4      92.6    91.7    92.3
Own Game Console, "No"         53        53     51.8    50.9
Own Satellite Radio, "No"     78.5      79.2    83.1    76.3
Own eBook Reader, "No"         90       89.5     89     88.9
      Mean Deviation           --        2.5     2.7     2.7
Online Behaviors, Dem &Propensity Score



Modal Response                         Benchmark   Panel   River   Social
Online purchase since Jan 1, "No"        56.1      56.9    59.7    56.2
Banked online since Jan 1, "Yes"         58.1      68.6    62.5     73
Used social media since Jan 1, "Yes"     64.1      70.5    71.7    67.3
Uploaded picture since Jan 1, "Yes"      61.8      55.2    56.9    57.3
Watched video since Jan 1, "Yes"         70.9      68.8    72.2    73.9
Online auction since Jan 1, "No"         86.4      82.8    82.3    82.6
         Mean Deviation                   --        5.0    4.3      4.9
Summary of Evidence
Summary by Category, Source, & Weighting (1)


  General                      Panel   River   Social   Total
  No Weighting                  4.3     5.1     4.4     4.6
  Demographic Weighting         3.6     3.9     4.2     3.9
  Dem and Propensity Score      3.0     1.9     2.8     2.6


  Attitudes Towards Privacy    Panel   River   Social   Total
  No Weighting                  5.3     6.9     6.2     6.1
  Demographic Weighting         5.4     7.7     6.8     6.6
  Dem and Propensity Scoring    2.7     4.4     3.6     3.6
Summary by Category, Source, & Weighting (2)


  Technology Ownership         Panel   River   Social   Total
  No Weighting                  3.2     2.8     2.5     2.8
  Demographic Weighting         2.6     2.5     2.6     2.6
  Dem and Propensity Score      2.5     2.7     2.7     2.6


  Online Behaviors             Panel   River   Social   Total
  No Weighting                  7.8     5.6     6.9     6.8
  Demographic Weighting         5.9     5.3     6.5     5.9
  Dem and Propensity Scoring    5.0     4.3     4.9     4.7
Overall Comparison to Benchmarks



 All Questions                          Panel        River       Social   Total
 No Weighting                             5.1         4.9          4.8    4.9
 Demographic Weighting                    4.3         4.6          4.8    4.6
 Dem and Propensity Score                 3.3         3.2          3.4    3.3
 Cost per question vs. phone            -50%         -50%         -75%
 Time required vs. phone                -60%         -60%         -80%


 Time Required:
 Estimates above for panel, river and social are standard; for this
 study, we stretched data collection over five days, as with telephone
54
55
“Great Job.”




               56
57
58
“Feel free to
re-arrange
things while
you’re there.”




                 59
“Two steps forward,
one step back.”




                      60
61
62
63
Thank You!

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Research Quality

  • 1. RESEARCH QUALITY Moderator Gian Fulgoni Chairman comScore, Inc.
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  • 4. “She’s got to stop calling me “her little Danny.” 4
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  • 6. BOSS 6
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  • 10. “Money is tight so you’ve got to get it right.” 10
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  • 15. TOPIC Should We Dismantle the Factory? An Approach to Evaluate Data Collected from Multiple Sample Sources and Generated through Different Approaches DATE 21 March 2011 George Terhanian, Ph.D. 15
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  • 21. Advocates of online research sang its praises in the 1990s “Online research is an unstoppable train. And it is accelerating. Those who don’t get on board run the risk of being left far behind.” Humphrey Taylor & George Terhanian (1999). “Heady Days Are Here Again. Online Polling is Rapidly Coming of Age.” Public Perspective
  • 22. Critics compared those advocates to the sirens who summoned Ulysses’ sailors to their doom “A growing number of survey researchers are unfortunately being led to the rocks like Ulysses’ sailors following the Siren call of cheap, but worthless, data.” Warren Mitofksy (1999). “Pollsters.com.” Public Perspective
  • 23. The remarkable growth of online research has silenced most critics US and Europe Spending ($Millions)
  • 24. The continuing growth of online research is creating supply challenges and stimulating innovation Rivers + + Access Panels Communities
  • 25. It’s also heightening concerns about data quality and representativeness—many buyers have many questions about the new sample sources “What are the biases?” “How do I put the pieces together?”
  • 26. Some argue that consistency is king but the argument overlooks the importance of accuracy New Hampshire
  • 27. The final forecasts Obama Clinton New Hampshire
  • 28. Barack Obama probably slept more easily than Hillary Clinton on the eve of the election
  • 29. Barrack Obama lost the election by three percentages points. What were the chances? .05 to the 13th power = 1 in ? trillion
  • 30. Other challenges continue to confront online research, including unwieldy assembly lines
  • 31. How agencies regard potential survey respondents has not changed much through the years either
  • 32. Some agencies are beginning to collect many different types of information, all of which can be linked to specific individuals, and re-used Online behavioral Video Blogging measurement (e.g., sites visited, advertisements seen) Moderated Discussions Off-line behavioral measurement (e.g., footprint via GPS within phone) Surveys Information from CRM systems
  • 33. Some experts feel that even more change is on its way: the DIY market has already surpassed $500M
  • 34. How does it work? One example
  • 35. What about the problem of self-selection? Garbage in, garbage out? Not necessarily…
  • 36. Experimenters have been dealing with the problem of self-selection for decades to make fair comparisons and to estimate causal effects • Smokers vs. Non-Smokers? – Does smoking cause cancer? How do we know? • Mastectomy vs. Conservation? – Which one is more effective? How do we know? • And so on? Possibly… – Phone vs. F2F vs. Panel vs. River vs. Social Community….
  • 37. Figuring out how to replicate the randomization of the coin flip is crucial
  • 38. Ideas on how to address the survey self-selection problem were introduced about 60 years ago “Since it would not have been feasible for Kinsey, Pomeroy, and Martin to take a large sample on a probability basis, a reasonable probability sample would be, and would have been, a small one and its purpose would be: – to act as a check on the large sample, and – possibly, to serve as a basis for adjusting the results of the large sample.” Cochrane, Mosteller & Tukey, 1954, p. 2 38
  • 39. Change a few words around, and you’ve nearly solved the problem Since it would not have been feasible...to take an ONLINE sample on a probability basis, a reasonable probability sample would be, and would have been, a TELEPHONE one and its purpose would be: – to act as a check on the ONLINE sample, and – possibly, to serve as a basis for adjusting the results of the ONLINE sample Census Non-Online Online Online Users + Users Users Logistic model predicts probability, or propensity score, of participating in the RDD survey 39
  • 40. What does might this mean for the DIY market? The same information but faster and cheaper? $800 per question, n =1010, 5 days $400 per question, n=1100, 2 days $200 per question, n=1100, < 1 day
  • 42. Data Collection Details (US Adults, 18+) 1. Telephone: 1,019 completed interviews among respondents residing in private households in the continental US. They were contacted through random-digit-dialing. $800 per question. 2. Online Panel: 1,100 completed interviews among members of Toluna’s online panel who were invited by email. $400 per question. 3. Online River: 1,100 completed interviews among non-members of Toluna’s online panel who were directed to the survey after clicking through an advertisement or link on the Internet. $400 per question. 4. Social among 1,100 completed interviews among members of Toluna’s social voting community who were invited through Toluna’s DIY QuickSurvey (TQS) service. $200 per question. Data Collection Dates: Phone: February 23-27, 2011 Date Collection, Online: February 28-March 3, 2011
  • 43. Topics Covered (the “dependent variables”) 1. General: Quality of health, Approval for Obama, Degree of religiousness, Own passport, Possess driver’s license, Smoke cigarettes, TV viewing per week 2. Attitudes Towards Privacy: AIDS screening at work, unsolicited calls for selling purposes, cookies on computers to track, airport searches based on visual profiles 3. Technology Ownership: Smartphone, Digital Camera, Tablet computer, Game console, Satellite radio, eBook reader 4. Online Behaviors (since 1/1/11): Made purchase, Banked, Used social network/media application, Uploaded picture, Watched Video, Participated in Auction
  • 44. Sample Selection and Weighting Adjustments 1. Telephone – Sample Selection: 50/50 Male/Female ratio within major regions – Weighting Factors: region, gender*age, race, ethnicity, education, income, number of adults in household, lived in home without landline in past two years. Denominated as “demographic weighting”. 2. Online Panel, River, Social – Sample Selection: Minimum quotas for region, gender*age, race, ethnicity, education – Weighting Factors by Target Population: 1. General Population: Same as telephone--”demographic” 2. Online (only) Population: Same factors as telephone, with percentages determined through telephone survey rather than Census-- ”demographic” 3. Propensity Score: Several attitudes and opinions reflecting views towards environment, new things, politics, personalization
  • 45. Benchmark Choices and Assessment Approach 1. Benchmarks – Official government data: Percent of adults with a driver’s license – Telephone responses 2. Point of Comparison – The difference between each question’s modal response (i.e., the proportion of respondents who select it) and the benchmark’s. – The survey/source with the lowest (average) score relative to the benchmark will be considered the most accurate.
  • 46. General Questions, Dem & Propensity Score Modal Response Benchmark Panel River Social Health "Good" 32.3 31.6 33.7 31.5 Obama, "Approve" 46.6 51.8 46.6 50.7 "Moderately" Religious 40.2 37.5 41.4 36.8 Passport, "Do not Own" 56.7 54.6 59 54 Driver's License, "Have" 85.5 85.9 85 84.8 Smoke Cigarettes, "Not at all" 79.4 83 76.5 77.3 TV Watching, "2 hrs per Week" 25.5 19 20.3 19.9 Mean Deviation -- 3.0 1.9 2.8
  • 47. Attitudes Towards Privacy, Dem & Propensity Score Modal Response Benchmark Panel River Social AIDS Screening, "Violation" 53.5 52.1 46 50.1 Unsolicited Calls, "Violation" 67.3 75.4 73.9 74.1 Cookies, "Violation" 65.8 64.9 68.6 64.1 Airport Searches, "No Violation" 60.4 60.1 61 62.8 Mean Deviation -- 2.7 4.4 3.6
  • 48. Technology Ownership, Dem & Propensity Score Modal Response Benchmark Panel River Social Own Smartphone, "No" 58.8 65 63.7 62.7 Own Digital Camera, "Yes" 73.4 79.5 77.5 79.1 Own Tablet, "No" 91.4 92.6 91.7 92.3 Own Game Console, "No" 53 53 51.8 50.9 Own Satellite Radio, "No" 78.5 79.2 83.1 76.3 Own eBook Reader, "No" 90 89.5 89 88.9 Mean Deviation -- 2.5 2.7 2.7
  • 49. Online Behaviors, Dem &Propensity Score Modal Response Benchmark Panel River Social Online purchase since Jan 1, "No" 56.1 56.9 59.7 56.2 Banked online since Jan 1, "Yes" 58.1 68.6 62.5 73 Used social media since Jan 1, "Yes" 64.1 70.5 71.7 67.3 Uploaded picture since Jan 1, "Yes" 61.8 55.2 56.9 57.3 Watched video since Jan 1, "Yes" 70.9 68.8 72.2 73.9 Online auction since Jan 1, "No" 86.4 82.8 82.3 82.6 Mean Deviation -- 5.0 4.3 4.9
  • 51. Summary by Category, Source, & Weighting (1) General Panel River Social Total No Weighting 4.3 5.1 4.4 4.6 Demographic Weighting 3.6 3.9 4.2 3.9 Dem and Propensity Score 3.0 1.9 2.8 2.6 Attitudes Towards Privacy Panel River Social Total No Weighting 5.3 6.9 6.2 6.1 Demographic Weighting 5.4 7.7 6.8 6.6 Dem and Propensity Scoring 2.7 4.4 3.6 3.6
  • 52. Summary by Category, Source, & Weighting (2) Technology Ownership Panel River Social Total No Weighting 3.2 2.8 2.5 2.8 Demographic Weighting 2.6 2.5 2.6 2.6 Dem and Propensity Score 2.5 2.7 2.7 2.6 Online Behaviors Panel River Social Total No Weighting 7.8 5.6 6.9 6.8 Demographic Weighting 5.9 5.3 6.5 5.9 Dem and Propensity Scoring 5.0 4.3 4.9 4.7
  • 53. Overall Comparison to Benchmarks All Questions Panel River Social Total No Weighting 5.1 4.9 4.8 4.9 Demographic Weighting 4.3 4.6 4.8 4.6 Dem and Propensity Score 3.3 3.2 3.4 3.3 Cost per question vs. phone -50% -50% -75% Time required vs. phone -60% -60% -80% Time Required: Estimates above for panel, river and social are standard; for this study, we stretched data collection over five days, as with telephone
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  • 59. “Feel free to re-arrange things while you’re there.” 59
  • 60. “Two steps forward, one step back.” 60
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