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Please tweet! @PeanutLabsMedia @LoveStats
How to seamlessly
integrate data quality
measures into your
questionnaire
Presented by Annie Pettit
Chief Research Officer at
Peanut Labs
Please tweet! @LoveStats @PeanutLabsMedia
Please tweet! @PeanutLabsMedia @LoveStats
How to distinguish between these people?
But,
incentive getting,
satisficing,
cheaters make lots
of mistakes
When answering
surveys, good
honest people will
naturally make a
mistake or two
Please tweet! @PeanutLabsMedia @LoveStats
Multi-Select Questions
Red Herrings
High/Low Incidence
Over/Under Clicking
Following Instructions
Sed turpis elit, venenatis ut
porttitor sed, venenatis in arcu.
Nam consequat leo ut lorem
viverra, ac commodo ex
ullamcorper?
 Praesent
 Maximus
 Ullamcorper
 Faucibus
 Lacinia
 Tincidunt
 Efficitur
Please tweet! @PeanutLabsMedia @LoveStats
Red Herrings
• Question Type: Multi-selects, Single-selects,
Rating scales
• Concern: Respondents may have misread or
confused a name. It may be a real name!
• Cheaters: Incentive Getting. Responder is
providing the minimum amount of information
required to proceed.
• Application: Choose at least TWO fake names
and Google them to ensure they are extremely
low incidence
• Scoring: Flag answers in sets of two
Which of the following stores
have you visited in the past 3
months? (Please select all that
apply)
 Abercrombie & Fitch
 Aéropostale
 American Apparel
 American Eagle Outfitters
 Anthropologie
 Bellamis New York
 Bloomingdale's
 Brooks Brothers
 Club Forenzo
 Coldwater Creek
 Dillard's
 DKNY
 Other
Please tweet! @PeanutLabsMedia @LoveStats
High Incidence
• Question Type: Multi-selects
• Concern: Respondents are tired or bored.
• Cheaters: Satisficing. Responder is providing the
minimum amount of information required to
proceed.
• Application: Works best on longer lists. Include
at least a few answers that ought to be selected
by everyone
• Scoring: Flag people with the fewest clicks for
very common responses.
Which of the following activities
have you participated in during
the last 3 months? (Please select
all that apply)
 Attended a sporting event
 Attended a music event
 Exercised
 Listened to music
 Used the internet
 Visited a community center
 Visited a library
 Watched TV
 Went to a grocery store
 Went to the movies
 Went to school
 Went to work
Please tweet! @PeanutLabsMedia @LoveStats
Low Incidence
• Question Type: Multi-selects
• Concern: Respondents are thinking of people
other than themselves
• Cheaters: Incentive getting. They may be trying
to avoid screening out so they will qualify for an
incentive.
• Application: Incorporate at least 3 extremely low
incidence options. Rare doesn't happen in pairs.
• Scoring: Flag people who select two or more rare
answers.
Which of the following ailments
do you have? (Please select all
that apply)
 Acid Reflux
 Acidosis
 Adrenal Disorders
 AIDS
 Alzheimer's Disease
 Amyloidosis
 Anemia
 Anorexia Nervosa
 Arteriosclerosis
 Autism
 Blood Pressure (High)
 Bronchitis
 Cancer
Please tweet! @PeanutLabsMedia @LoveStats
Underclicking
• Question Type: Multi-selects
• Concern: Respondents are tired or bored.
• Cheaters: Satisficing. Responder is providing the
minimum amount of information required to
proceed.
• Application: Works best on longer lists. Include
at least a few answers that ought to be selected
by everyone.
• Scoring: Flag people with the fewest clicks across
the whole question.
Which of the following stores
have you visited in the past 3
months? (Please select all that
apply)
 Albertsons
 Big Lots
 Costco
 CVS
 Dollar General
 Family Dollar
 Kroger
 Publix
 Safeway
 Target
 Walgreen
 Walmart
Please tweet! @PeanutLabsMedia @LoveStats
Overclicking
• Question Type: Multi-selects
• Concern: They may be thinking of their
household or family members.
• Cheaters: Incentive getting. They may be trying
to qualify for the incentive.
• Application: Works best on longer questions.
Ensure there are options that don’t really go
together.
• Scoring: Flag people with the most clicks across
the whole question.
Which of the following stores
have you visited in the past 3
months? (Please select all that
apply)
 Abercrombie & Fitch
 Aéropostale
 American Apparel
 American Eagle Outfitters
 Anthropologie
 Barneys New York
 Bloomingdale's
 Brooks Brothers
 Club Monaco
 Coldwater Creek
 Dillard's
 DKNY
 Eddie Bauer
Please tweet! @PeanutLabsMedia @LoveStats
Following Instructions
• Question Type: Unvalidated multi-selects
• Concern: Respondents may have misunderstood
the task, or want to provide a ‘more accurate’
answer
• Cheaters: Satisficing. The responder wants to
finish and get their incentive.
• Application: Word questions so it makes sense to
ask for exactly 2 or 3 choices. Don’t validate!
• Scoring: Flag anyone who chooses more or fewer
responses than requested.
Which three of the following
stores did you visit most often?
(Please select only 3)
 Abercrombie & Fitch
 Aéropostale
 American Apparel
 American Eagle Outfitters
 Anthropologie
 Bellamis New York
 Bloomingdale's
 Brooks Brothers
 Club Forenzo
 Coldwater Creek
 Dillard's
 DKNY
 Other
Please tweet! @PeanutLabsMedia @LoveStats
Don’t Know
• Question Type: Multi-selects, Single-selects
• Concern: They probably do know if they would
think about it a little bit
• Cheaters: Satisficing. Responder is providing the
minimum amount of information required to
proceed.
• Application: Follow good survey design practice
of including DK wherever it is possible
• Scoring: Count how many times they select
‘Don’t Know’ across the survey
Which of the following stores
have you visited in the past 3
months? (Please select all that
apply)
 Abercrombie & Fitch
 Aéropostale
 American Apparel
 American Eagle Outfitters
 Anthropologie
 Barneys New York
 Bloomingdale's
 Brooks Brothers
 Club Monaco
 Coldwater Creek
 Dillard's
 DKNY
 Don’t know
Please tweet! @PeanutLabsMedia @LoveStats
Grid Rating Questions
Straightlining
Sed turpis elit, venenatis ut
porttitor sed, venenatis in
arcu?
o o o o o
o o o o o
o o o o o
o o o o o
Praesent maximus
Ullamcorper faucibus
Lacinia tincidunt
Efficitur aliquam
Please tweet! @PeanutLabsMedia @LoveStats
Straightlining
• Question Type: Multi-select ratings
• Concern: Respondents may have only glanced at
the items, not noticed reverse keyed items
• Cheaters: Satisficing. Get in and get out!
• Application: Be sure to include positively and
negatively keyed items.
• Scoring: Measure every grid for patterns -
vertical, diagonal, repetitive. Each straightline
generates a flag.
What is your opinion about
each of these statements?
o o o o o
o o o o o
o o o o o
o o o o o
Type A
X
X
X
X
X
Type B
X
X
X
X
X
Type C
X
X
X
Tastes good
Smells tempting
Feels nice
Looks pretty
Please tweet! @PeanutLabsMedia @LoveStats
“Select the third answer”
• Question Type: Multi-Select Rating
• Concern: It’s confusing.
It creates suspicion.
SQUIRREL!
• Cheaters: Satisficing. Answer quickly and get
your incentive.
• Application: Ask responders to choose a specific
answer, “Select Somewhat Disagree in this row”
• Scoring: Don’t! This is a terrible measure!
What is your opinion about each of
these statements?
o o o o o
o o o o o
o o o o o
o o o o o
o o o o o
Tastes bland
Would recommend
Select Disagree Somewhat
Box is ugly
Smells delicious
Agree
Strongly
Agree
Somewhat
Neutral
Disagree
Somewhat
Disagree
Strongly
Squirrel!
Please tweet! @PeanutLabsMedia @LoveStats
Open-End Verbatims
Pellentesque quis aliquet felis,
sit amet ultricies erat. Etiam vel
metus augue.
Please tweet! @PeanutLabsMedia @LoveStats
dunno NA
I lik that their
crunchy
? none
1) If Congress cannot do its job - pass a
Budget EVERY year (not a CR), they should
NOT get paid AND should NOT get ANY
benefits; 2) An ex government official should
be prohibited form becoming a lobbyist within
2 years of leaving office; 3) Contracting out
should NOT be done if NO REAL costs savings
can be realized; and 4) People making over
$250, 000 should pay a higher percentage of
income tax - minimum of 30%
Verbatim Length
• Question Type: Long verbatims
• Concern: It’s difficult to introspect and self-
evaluate
• Cheaters: Satisficing. Responder is providing the
minimum amount of information required to
proceed.
• Application: Create at least one question that
requires a long answer. “Describe three reasons
why…” (And benefit from the tidbits of gold!)
• Scoring: Flag any response under 10 characters.
Please tweet! @PeanutLabsMedia @LoveStats
asdf
You’re stupid
dumbdumbdumb
ass
hjsrthetutjytnse5hyyjn,jiuuyj
ydtpysrgawe.btzergrsebearh
uyllkjhhgcfddwad
Verbatim Gibberish
• Question Type: Short verbatims, Long verbatims
• Concern: It’s difficult to introspect and self-evaluate
• Cheaters: Satisficing. Responder is providing the
minimum amount of information required to
proceed.
• Application: Ensure there is at least one open-end
question for a text response.
• Scoring: Look for no spaces, improbable letter
combinations (hh, kk, yy, hj, bt, js). Assign points
based on the severity (e.g., crude words=3, ‘ass’=2,
‘asdf’=1
Please tweet! @PeanutLabsMedia @LoveStats
Other Question Types
Contradictions; Don’t Know;
Sums and Ranks; Speeding
Please tweet! @PeanutLabsMedia @LoveStats
Contradictions
• Question Type: Any two questions
• Concern: Respondents may misread one of the
questions. The question was poorly worded.
• Cheaters: Satisficing.
• Application: Ensure the questions are far apart.
Focus on related, contextual questions, not
identical questions. Allow improbable answers.
• Scoring: Flag cases where the answers don’t
match
Q3. What pets do you have in
your household?
 Dog
 Cat
 Fish
 Bird
 Small mammal
 Other
 None
Q19. How often does your household
buy pet food?
o At least once per week
o About once per month
o Several times per year
o About once per year
o Less often
o Never
Please tweet! @PeanutLabsMedia @LoveStats
Rank Orders
• Question Type: Unvalidated fill-in-the-blank rank
orders
• Concern: They didn’t read carefully, They weren’t
thinking carefully. They didn’t understand what they
were being asked for.
• Cheaters: Satisficing. Responder is incentive getting.
• Application: Create a question with 5 to 8 options.
Don’t validate!
• Scoring: Flag cases with any numbers less than or
greater than the minimum/maximum, or if there
are any duplicate numbers
Please rank the importance of
these store features from 1 to 5.
1 = Most Important
5 = Least Important
(Please use each number only once.)
 Price
 Location
 Style
 Service
 Selection
Please tweet! @PeanutLabsMedia @LoveStats
Sums
• Question Type: Unvalidated fill-in-the-blank
sums
• Concern: They didn’t understand the question.
Their math doesn’t reflect reality. They aren’t
good with math.
• Cheaters: Satisficing.
• Application: Create a question with 4 to 6
options so the math is reasonable. Don’t
validate!
• Scoring: Flag any response that doesn’t add to
100.
What percentage of your
monthly income is spent in these
areas? (Please make sure the
numbers add up to 100%.)
 Housing
 Food
 Utilities (e.g., heat, electricity)
 Transportation
 Entertainment
Please tweet! @PeanutLabsMedia @LoveStats
Speeding
• Question Type: The entire survey
• Concern: Some people are fast readers. Some
have a lot of survey experience. Some got all the
skips and short paths.
• Cheaters: Satisficing. Incentive getting.
• Application: Wait until all the completes are in.
Fastest 5% is ideal. Fastest 2% is impossible!
• Scoring: Give one point to the fastest 5%. Give
two points to the fastest 2%.
Seconds Cumulative
Frequency
0 - 40 0
41 - 50 0
51 - 60 0.2
61 - 70 0.5
71 - 80 0.9
81 - 90 1.5
91 - 100 2.4
101 - 110 3.5
111 - 120 4.7
121 - 130 6.4
131 - 140 8.3
141 - 150 10.5
151 - 160 13.6
161 - 170 16.6
171 - 180 19.7
181 - 190 23.6
191 - 200 27.6
Please tweet! @PeanutLabsMedia @LoveStats
Creating Cut-Scores
Question Level
Survey Level
Please tweet! @PeanutLabsMedia @LoveStats
Question Level Cut-Scores
Red
Herring
Percent of
people failing
0 78.9
1 15.4
2 2.9
3 2.8
Over
Clicking
Percent of
people failing
0 76.3
1 13.5
2 9.4
3 0.8
Rank
Order
Percent of
people failing
0 77.7
1 9.6
2 2.9
3 9.8
Ideal Scenario Too Few Fail Too Many Fail
•Check and improve
the scoring
•Use it anyways
•Don’t use it at all
•Check and improve
the scoring
•Use it anyways
• Anything
between 3
and 7 is ideal
Please tweet! @PeanutLabsMedia @LoveStats
Question Level Scores of Individual People
Person 1
(Regular Person)
Person 2
(Satisficer)
Person 3
(Incentive Getter)
Overclick 0 0 1
Underclick 0 1 0
Speeding 0 2 0
Red Herring 1 1 2
Low Incidence 0 0 1
High Incidence 0 1 0
Rank Order 0 0 0
Sums 0 0 0
TOTAL 1 5 4
This is not a problem THESE are problems!
Please tweet! @PeanutLabsMedia @LoveStats
Survey Level Cut-Score
• Goal: Fail 5% of respondents
• Cut-Score: 3
• Result: 4.1% of respondents failed
• Why?
– Survey was poorly written
– Cheaters, liars, meanies
– Respondents couldn’t understand the
questions, perhaps ESL or low reading level
Flags Cumulative
Frequency
0 64.0
1 25.0
2 6.9
3 2.5
4 0.8
5 0.5
6 0.1
7 0.1
8 0.1
9 0.0
10 0.0
Please tweet! @PeanutLabsMedia @LoveStats
Tips
• Try to incorporate at least 4 different measures into every
survey
• Don’t cram too many tests into one question
– You COULD put overclicking, underclicking, high incidence, low
incidence, and red herrings in the same question. But if that’s
the only question a good respondent had trouble with, you’ve
excluded good data.
– Use each question a maximum of two times
• Spread the tests throughout the survey - beginning, middle,
and end.
• This doesn’t have to be a lot of work. Create SPSS/Excel syntax
that you can use repeatedly.
• Remember that human beings make mistakes. You makes lots
of mistakes everyday. Don’t expect other people to be better
than you.
Please tweet! @PeanutLabsMedia @LoveStats
Thank you!
Annie Pettit
Chief Research Officer
Peanut Labs
annie@peanutlabs.com
twitter.com/LoveStats
ca.linkedin.com/in/anniepettit/
Questions about our Sample Services?
Jonathan Cheriff
Director of Sales & Marketing
jonathan.cheriff@peanutlabs.com
twitter.com/paperbackdad
www.linkedin.com/in/jonathancheriff

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How to seamlessly integrate data quality measures into your questionnaire

  • 1. Please tweet! @PeanutLabsMedia @LoveStats How to seamlessly integrate data quality measures into your questionnaire Presented by Annie Pettit Chief Research Officer at Peanut Labs Please tweet! @LoveStats @PeanutLabsMedia
  • 2. Please tweet! @PeanutLabsMedia @LoveStats How to distinguish between these people? But, incentive getting, satisficing, cheaters make lots of mistakes When answering surveys, good honest people will naturally make a mistake or two
  • 3. Please tweet! @PeanutLabsMedia @LoveStats Multi-Select Questions Red Herrings High/Low Incidence Over/Under Clicking Following Instructions Sed turpis elit, venenatis ut porttitor sed, venenatis in arcu. Nam consequat leo ut lorem viverra, ac commodo ex ullamcorper?  Praesent  Maximus  Ullamcorper  Faucibus  Lacinia  Tincidunt  Efficitur
  • 4. Please tweet! @PeanutLabsMedia @LoveStats Red Herrings • Question Type: Multi-selects, Single-selects, Rating scales • Concern: Respondents may have misread or confused a name. It may be a real name! • Cheaters: Incentive Getting. Responder is providing the minimum amount of information required to proceed. • Application: Choose at least TWO fake names and Google them to ensure they are extremely low incidence • Scoring: Flag answers in sets of two Which of the following stores have you visited in the past 3 months? (Please select all that apply)  Abercrombie & Fitch  Aéropostale  American Apparel  American Eagle Outfitters  Anthropologie  Bellamis New York  Bloomingdale's  Brooks Brothers  Club Forenzo  Coldwater Creek  Dillard's  DKNY  Other
  • 5. Please tweet! @PeanutLabsMedia @LoveStats High Incidence • Question Type: Multi-selects • Concern: Respondents are tired or bored. • Cheaters: Satisficing. Responder is providing the minimum amount of information required to proceed. • Application: Works best on longer lists. Include at least a few answers that ought to be selected by everyone • Scoring: Flag people with the fewest clicks for very common responses. Which of the following activities have you participated in during the last 3 months? (Please select all that apply)  Attended a sporting event  Attended a music event  Exercised  Listened to music  Used the internet  Visited a community center  Visited a library  Watched TV  Went to a grocery store  Went to the movies  Went to school  Went to work
  • 6. Please tweet! @PeanutLabsMedia @LoveStats Low Incidence • Question Type: Multi-selects • Concern: Respondents are thinking of people other than themselves • Cheaters: Incentive getting. They may be trying to avoid screening out so they will qualify for an incentive. • Application: Incorporate at least 3 extremely low incidence options. Rare doesn't happen in pairs. • Scoring: Flag people who select two or more rare answers. Which of the following ailments do you have? (Please select all that apply)  Acid Reflux  Acidosis  Adrenal Disorders  AIDS  Alzheimer's Disease  Amyloidosis  Anemia  Anorexia Nervosa  Arteriosclerosis  Autism  Blood Pressure (High)  Bronchitis  Cancer
  • 7. Please tweet! @PeanutLabsMedia @LoveStats Underclicking • Question Type: Multi-selects • Concern: Respondents are tired or bored. • Cheaters: Satisficing. Responder is providing the minimum amount of information required to proceed. • Application: Works best on longer lists. Include at least a few answers that ought to be selected by everyone. • Scoring: Flag people with the fewest clicks across the whole question. Which of the following stores have you visited in the past 3 months? (Please select all that apply)  Albertsons  Big Lots  Costco  CVS  Dollar General  Family Dollar  Kroger  Publix  Safeway  Target  Walgreen  Walmart
  • 8. Please tweet! @PeanutLabsMedia @LoveStats Overclicking • Question Type: Multi-selects • Concern: They may be thinking of their household or family members. • Cheaters: Incentive getting. They may be trying to qualify for the incentive. • Application: Works best on longer questions. Ensure there are options that don’t really go together. • Scoring: Flag people with the most clicks across the whole question. Which of the following stores have you visited in the past 3 months? (Please select all that apply)  Abercrombie & Fitch  Aéropostale  American Apparel  American Eagle Outfitters  Anthropologie  Barneys New York  Bloomingdale's  Brooks Brothers  Club Monaco  Coldwater Creek  Dillard's  DKNY  Eddie Bauer
  • 9. Please tweet! @PeanutLabsMedia @LoveStats Following Instructions • Question Type: Unvalidated multi-selects • Concern: Respondents may have misunderstood the task, or want to provide a ‘more accurate’ answer • Cheaters: Satisficing. The responder wants to finish and get their incentive. • Application: Word questions so it makes sense to ask for exactly 2 or 3 choices. Don’t validate! • Scoring: Flag anyone who chooses more or fewer responses than requested. Which three of the following stores did you visit most often? (Please select only 3)  Abercrombie & Fitch  Aéropostale  American Apparel  American Eagle Outfitters  Anthropologie  Bellamis New York  Bloomingdale's  Brooks Brothers  Club Forenzo  Coldwater Creek  Dillard's  DKNY  Other
  • 10. Please tweet! @PeanutLabsMedia @LoveStats Don’t Know • Question Type: Multi-selects, Single-selects • Concern: They probably do know if they would think about it a little bit • Cheaters: Satisficing. Responder is providing the minimum amount of information required to proceed. • Application: Follow good survey design practice of including DK wherever it is possible • Scoring: Count how many times they select ‘Don’t Know’ across the survey Which of the following stores have you visited in the past 3 months? (Please select all that apply)  Abercrombie & Fitch  Aéropostale  American Apparel  American Eagle Outfitters  Anthropologie  Barneys New York  Bloomingdale's  Brooks Brothers  Club Monaco  Coldwater Creek  Dillard's  DKNY  Don’t know
  • 11. Please tweet! @PeanutLabsMedia @LoveStats Grid Rating Questions Straightlining Sed turpis elit, venenatis ut porttitor sed, venenatis in arcu? o o o o o o o o o o o o o o o o o o o o Praesent maximus Ullamcorper faucibus Lacinia tincidunt Efficitur aliquam
  • 12. Please tweet! @PeanutLabsMedia @LoveStats Straightlining • Question Type: Multi-select ratings • Concern: Respondents may have only glanced at the items, not noticed reverse keyed items • Cheaters: Satisficing. Get in and get out! • Application: Be sure to include positively and negatively keyed items. • Scoring: Measure every grid for patterns - vertical, diagonal, repetitive. Each straightline generates a flag. What is your opinion about each of these statements? o o o o o o o o o o o o o o o o o o o o Type A X X X X X Type B X X X X X Type C X X X Tastes good Smells tempting Feels nice Looks pretty
  • 13. Please tweet! @PeanutLabsMedia @LoveStats “Select the third answer” • Question Type: Multi-Select Rating • Concern: It’s confusing. It creates suspicion. SQUIRREL! • Cheaters: Satisficing. Answer quickly and get your incentive. • Application: Ask responders to choose a specific answer, “Select Somewhat Disagree in this row” • Scoring: Don’t! This is a terrible measure! What is your opinion about each of these statements? o o o o o o o o o o o o o o o o o o o o o o o o o Tastes bland Would recommend Select Disagree Somewhat Box is ugly Smells delicious Agree Strongly Agree Somewhat Neutral Disagree Somewhat Disagree Strongly Squirrel!
  • 14. Please tweet! @PeanutLabsMedia @LoveStats Open-End Verbatims Pellentesque quis aliquet felis, sit amet ultricies erat. Etiam vel metus augue.
  • 15. Please tweet! @PeanutLabsMedia @LoveStats dunno NA I lik that their crunchy ? none 1) If Congress cannot do its job - pass a Budget EVERY year (not a CR), they should NOT get paid AND should NOT get ANY benefits; 2) An ex government official should be prohibited form becoming a lobbyist within 2 years of leaving office; 3) Contracting out should NOT be done if NO REAL costs savings can be realized; and 4) People making over $250, 000 should pay a higher percentage of income tax - minimum of 30% Verbatim Length • Question Type: Long verbatims • Concern: It’s difficult to introspect and self- evaluate • Cheaters: Satisficing. Responder is providing the minimum amount of information required to proceed. • Application: Create at least one question that requires a long answer. “Describe three reasons why…” (And benefit from the tidbits of gold!) • Scoring: Flag any response under 10 characters.
  • 16. Please tweet! @PeanutLabsMedia @LoveStats asdf You’re stupid dumbdumbdumb ass hjsrthetutjytnse5hyyjn,jiuuyj ydtpysrgawe.btzergrsebearh uyllkjhhgcfddwad Verbatim Gibberish • Question Type: Short verbatims, Long verbatims • Concern: It’s difficult to introspect and self-evaluate • Cheaters: Satisficing. Responder is providing the minimum amount of information required to proceed. • Application: Ensure there is at least one open-end question for a text response. • Scoring: Look for no spaces, improbable letter combinations (hh, kk, yy, hj, bt, js). Assign points based on the severity (e.g., crude words=3, ‘ass’=2, ‘asdf’=1
  • 17. Please tweet! @PeanutLabsMedia @LoveStats Other Question Types Contradictions; Don’t Know; Sums and Ranks; Speeding
  • 18. Please tweet! @PeanutLabsMedia @LoveStats Contradictions • Question Type: Any two questions • Concern: Respondents may misread one of the questions. The question was poorly worded. • Cheaters: Satisficing. • Application: Ensure the questions are far apart. Focus on related, contextual questions, not identical questions. Allow improbable answers. • Scoring: Flag cases where the answers don’t match Q3. What pets do you have in your household?  Dog  Cat  Fish  Bird  Small mammal  Other  None Q19. How often does your household buy pet food? o At least once per week o About once per month o Several times per year o About once per year o Less often o Never
  • 19. Please tweet! @PeanutLabsMedia @LoveStats Rank Orders • Question Type: Unvalidated fill-in-the-blank rank orders • Concern: They didn’t read carefully, They weren’t thinking carefully. They didn’t understand what they were being asked for. • Cheaters: Satisficing. Responder is incentive getting. • Application: Create a question with 5 to 8 options. Don’t validate! • Scoring: Flag cases with any numbers less than or greater than the minimum/maximum, or if there are any duplicate numbers Please rank the importance of these store features from 1 to 5. 1 = Most Important 5 = Least Important (Please use each number only once.)  Price  Location  Style  Service  Selection
  • 20. Please tweet! @PeanutLabsMedia @LoveStats Sums • Question Type: Unvalidated fill-in-the-blank sums • Concern: They didn’t understand the question. Their math doesn’t reflect reality. They aren’t good with math. • Cheaters: Satisficing. • Application: Create a question with 4 to 6 options so the math is reasonable. Don’t validate! • Scoring: Flag any response that doesn’t add to 100. What percentage of your monthly income is spent in these areas? (Please make sure the numbers add up to 100%.)  Housing  Food  Utilities (e.g., heat, electricity)  Transportation  Entertainment
  • 21. Please tweet! @PeanutLabsMedia @LoveStats Speeding • Question Type: The entire survey • Concern: Some people are fast readers. Some have a lot of survey experience. Some got all the skips and short paths. • Cheaters: Satisficing. Incentive getting. • Application: Wait until all the completes are in. Fastest 5% is ideal. Fastest 2% is impossible! • Scoring: Give one point to the fastest 5%. Give two points to the fastest 2%. Seconds Cumulative Frequency 0 - 40 0 41 - 50 0 51 - 60 0.2 61 - 70 0.5 71 - 80 0.9 81 - 90 1.5 91 - 100 2.4 101 - 110 3.5 111 - 120 4.7 121 - 130 6.4 131 - 140 8.3 141 - 150 10.5 151 - 160 13.6 161 - 170 16.6 171 - 180 19.7 181 - 190 23.6 191 - 200 27.6
  • 22. Please tweet! @PeanutLabsMedia @LoveStats Creating Cut-Scores Question Level Survey Level
  • 23. Please tweet! @PeanutLabsMedia @LoveStats Question Level Cut-Scores Red Herring Percent of people failing 0 78.9 1 15.4 2 2.9 3 2.8 Over Clicking Percent of people failing 0 76.3 1 13.5 2 9.4 3 0.8 Rank Order Percent of people failing 0 77.7 1 9.6 2 2.9 3 9.8 Ideal Scenario Too Few Fail Too Many Fail •Check and improve the scoring •Use it anyways •Don’t use it at all •Check and improve the scoring •Use it anyways • Anything between 3 and 7 is ideal
  • 24. Please tweet! @PeanutLabsMedia @LoveStats Question Level Scores of Individual People Person 1 (Regular Person) Person 2 (Satisficer) Person 3 (Incentive Getter) Overclick 0 0 1 Underclick 0 1 0 Speeding 0 2 0 Red Herring 1 1 2 Low Incidence 0 0 1 High Incidence 0 1 0 Rank Order 0 0 0 Sums 0 0 0 TOTAL 1 5 4 This is not a problem THESE are problems!
  • 25. Please tweet! @PeanutLabsMedia @LoveStats Survey Level Cut-Score • Goal: Fail 5% of respondents • Cut-Score: 3 • Result: 4.1% of respondents failed • Why? – Survey was poorly written – Cheaters, liars, meanies – Respondents couldn’t understand the questions, perhaps ESL or low reading level Flags Cumulative Frequency 0 64.0 1 25.0 2 6.9 3 2.5 4 0.8 5 0.5 6 0.1 7 0.1 8 0.1 9 0.0 10 0.0
  • 26. Please tweet! @PeanutLabsMedia @LoveStats Tips • Try to incorporate at least 4 different measures into every survey • Don’t cram too many tests into one question – You COULD put overclicking, underclicking, high incidence, low incidence, and red herrings in the same question. But if that’s the only question a good respondent had trouble with, you’ve excluded good data. – Use each question a maximum of two times • Spread the tests throughout the survey - beginning, middle, and end. • This doesn’t have to be a lot of work. Create SPSS/Excel syntax that you can use repeatedly. • Remember that human beings make mistakes. You makes lots of mistakes everyday. Don’t expect other people to be better than you.
  • 27. Please tweet! @PeanutLabsMedia @LoveStats Thank you! Annie Pettit Chief Research Officer Peanut Labs annie@peanutlabs.com twitter.com/LoveStats ca.linkedin.com/in/anniepettit/ Questions about our Sample Services? Jonathan Cheriff Director of Sales & Marketing jonathan.cheriff@peanutlabs.com twitter.com/paperbackdad www.linkedin.com/in/jonathancheriff