SlideShare a Scribd company logo
1 of 49
Constructing questions for
interviews & questionnaires
Theory and practice in social research
Shahbaz Mehmood
Preface
• These slides include one theoretical
framework for constructing questions and a
small set of good and bad practices for
constructing questions
• This is not only or complete set, but gives
hints about what should you think when
constructing questions.
Errors in gathering data through
survey procedures are
• Responders’ failure to understand questions an intended
• A lack of effort or interest on the part of responders
• Respondents’ unwillingness to admit certain attitudes or
behaviours
• The failure of respondents’ memory or comprehension
process in the stressed condition of the interview
• Interviewers failures of various kinds (e.g. the tendency to
change wording, failures in presentation procedures and
the adoption of faulty recording process
Examples that illustrate the inadequate of
many of the questions
• Factual questions sometimes elicit invalid answer: As simple as age
• Relationship between what respondents say and what they actually do
in not always very strong: E.g. racism: Questions: Do you let a black
person inside a bar? Do they really?
• Responders’ attitudes, beliefs, opinions, habits interests often seem to
be extraordinary unstable
• Small changes in wording sometimes produce major changes in the
distribution of responses
• Respondents commonly misinterpret questions
• Answer to earlier question can affect to later question
• Order of options changes the respondents: e.g. middle option
• Format of question: Open vs. close
• Respondents answer even if they don't know about the topic
• Cultural context affects
The principal assumptions that have defined the
general orientation adopted by survey researcher in
the past
• The researcher has clearly defined the topic about which information is
required
• Respondents have the information that researcher requires
• Respondents are able to access the required information under the conditions
of the research situation
• Respondents can understand every question as intended
• Respondents are willing (or at least, can be motivated) to give the information
• Responses are more valid if they know why that is asked
• Answers are more valid if they are not suggested
• The research situation does not affect to the results
• The process does not affect the respondent
• All responses are meaningfully comparable
The traditional survey model
Researcher/
Interviewer Respondent
A carefully standardised physical
stimulus (i.e. question)
A response (i.e. answer)
expressed in term of a
standardised format provided by
the researcher
The key issue: the comparability
of aswer
• The reseacher must be clear about the nature of the information
required and encode a request for this format
• The respondent must decode this request in the way the researcher
intends it to be decoded
• The respondent must encode an answer that contains the information
researcher has requested
• The reseacher must decode an answer as the respondent intendedd it to
be encoded
Symbolic interactioinist theory
• Human beings interpret and define each other's actions. Not only
simple stimulus-response
• Human beings can be objects of their own attention. Argue
themselves, take pride themselves…
• Conscious social behavior is intentional behavior. Situation affects.
• Interpreting, planning and acting are ongoing process which begin
anew at every stage of a social process
• In situation there is a role and person wants to hold on it.
• Always exists
• In brief: social situation is constantly negotiating a shared definition of
the situation; taking one another's viewpoint into account; and
interpreting another's behavior
A model of symbolic interactionist view of question
answer behaviour
Encodes question, taking into
account own purposes and
presumptions/knowledge about
the respondent, and perceptions
of the respondent's
presumptions/knowledge about
self
Decodes question, taking into
account own purposes and
presumptions/knowledge about
the interviewer, and perceptions
of the interviewer's
presumptions/knowledge about
self
Encodes question, taking into
account own purposes and
presumptions/knowledge about
the interviewer, and perceptions
of the interviewer's
presumptions/knowledge about
self
Encodes question, taking into
account own purposes and
presumptions/knowledge about
the respondent, and perceptions
of the respondent's
presumptions/knowledge about
self
Interviewer Responder
The implication of the symbolic interaction
theory for social research
• Roles
• Respondents try to find a mutually shared
definition of the situation
• Interpretation of researcher acts
• Clues of what kind of information
researcher wants
Other
• Multidimensionality. Nothing is one-
dimensional
• Level of generality in the statements
• Level of generality in the topic
• Utterance frame: descriptive, explanatory or
evaluative
Defining topic properly
Encodes question.
The need to clearly specify the
information that is required. The
assumption that the respondent
have the required information.
The assumption that the
respondents can access the
information
Decodes question
Encodes answerDecodes answer
Interviewer Responder
Researcher has clearly defined
the required information
• Defined topic
– Global vs. local (29)
– Dimensions (economic, technical...)
• Is PL good thing: Marketing vs. Technical
– E.g. better social secure in cost of taxes
• Researcher has clear idea what kind of
information is required
Responder have required
information
• Hypothetical question => hypothetical Answer
• Willingness to answer vs. information to answer
• Opinions vs. facts
– Grounded opinions
– Serious opinions
• Responds are capable of verbalising information.
– Not hurry, give time to answer
Formulating intelligible requests
for information
Encodes question.
Formulating an intelligible
request for information.
Defining key terms for
respondents and virtues of
simplicity and breity
Decodes question
Encodes answerDecodes answer
Interviewer Responder
The meaning of individual words
• Context specific meanings
– Ambiguities words
– Different meanings
– Cultural decencies
• Relative difficulty of words
– foreign words
• The operation of unintended nuances associated
with apparently similar words
– Forbid vs. allow
The meaning of concepts
• Lack of empirical references
– How should be
– Difficul, unclear, wide concepts
• Context decencies (often, usually etc.)
• Concrete: Not: often, quite often, seldom.
Use 1,2,3,4,5
Structural complexities
• Number of words
• Less is better, but not complex ones
• Grammatical
– Asking too much in one question
– divide & conquer
– not what you like this and that!
• Not too much negatives: Double is bad
Good practices
• Descriptive introduction: I'd like to
describe…
• Explain before question
– The addition of clauses, phrases and
instructions
• Anecdotes
• Education of the respondent affects
Contextual influences on respondents'
interpretation of questions
Encodes question.
Encodes answerDecodes answer
Interviewer Responder
Decodes question
Contextual clues that influence
respondents’ interpretations
Clues afforded by either the
Question itself or its components
• Clues associated with the question
– Some existing idea always
– Leading questions
• Clues in components
– Additional phrases
– Note: Vegetables e.g. spinach not associated
vegetarian in general as intended
Clues in response options.
• Approve or disapprove - not only approve in question
• Scale
• Pre-set response options as memory clues
– May not remember other options
– Information range covered by the options.
– Who counts own averages?
– Abstract: no knowledge of normative levels
• Response biased with number of options
– Respondent favor first when reads, last when hears - vary the order
– Let responder tell, if no-one match
Impact of preceding questions
• Influence associated with prior Q. Issues:
– Does one have any knowledge?
– How deep is knowledge or how thorough
– How one interprets
• Psychological need for consistent
– Need to stay in one opinion
• Even-handedness
– Fair for all sides
Impact of preceding questions
(cont’d)
• The impact of the previous answers
• The impact of the overall situation
– Semantics of human mind.
– Willingness to give information
Contextual influences on respondents'
interpretation of questions
Encodes question.
Encodes answer
The kind of answer given is defined by the
dimension of the response framework that
is employed
Decodes answer
Interviewer Responder
Decodes question
Descriptive accounts
• How to describe the situation
• Perspectives
Level of social generality of responses
• You? Singular or plural?
Explanations
• Respondent can frame an explanation in
many different ways
• Why did you do X
– Causal antecedent - what caused to do X
– Goal antecedent - purpose for X
– Enablement factors - how possible
– Causal consequences - what happened after X
– The researcher's expectations
Evaluations
• Always relative
• Standards necessary does not exists
• Evaluative standard that are external to the
question
– Pleasant/easy flight - pilot vs. passenger
• Evaluative standard that are built in to the
question
– Agree -disagree
Limitations of human memory
Limitations of human memory
• Long term memory problems
– Nobody remembers all
– Ask from present to past, not past to present.
• Short term memory problems
– Simple questions
Filters
Filters
• Establishing the relevance of questions to
respondent
– Respondents tend to answer all the questions
• “I don't know enough”
– Don't know vs. don't have opinion
– Position of filters
• Middle and don’t know are problematic
• Middle category at all
– subjective viewpoint to strongly (dis)agree
• How strongly?
Reducing question threat
Reducing question threat
• Always some threat
• Biased
• Refuse
How?
• Casual, Do you happen to have…?
• Imputation of deviance, You know everyone does.
• Anonymous
• Lessen psychological immediacy of the Q (e.g. other instead self.
Numeric coding of alternatives)
• Decrease specificity of the information called (e.g. broad response
categories)
• Adopt knowing so that respondents have to confirm rather than
volunteer
• 'Kinsey' straight at eyes and ask
• Adopt indirect so that respond give answer without knowing
• Place threatening Q at the end of series
How? (cont’d)
• Door in the face: Ask direct, if does not
answer ask indirect/about e.g. salary.
• Ask long, don’t hesitate top repeat, give
time and encourage to use time
• The definition of Q threat
Threat causes bias
• Topics that are desirable and over-reported
– Be good citizen
– Be well informed and cultural person
– Have fulfilled of moral and social responsibilities
• Topics that are socially undesirable and under-reported
– Illness and disabilities
– Illegal and contra-normative behavior
– Financial status
• Feeling of guilt or personal fears
• Threat associated with the nature of the relationship between
interviewer and respond
– Social equity
– Fear of political or economical sanctions
Open vs. closed question debate
Open vs. closed question debate
• Coding responses to open questions
• Formulating response option for closed
question
Evaluation of the use of open questions
• Open Q doesn’t suggest answer -- or does it?
– Respondent’s use of "probes"
• Indicate level of knowledge
– Assumptions
• will answer open Q if knows
• don't try to answer open Q if don't know
• wil answer closed question if don't know
• Answers indicate the salience of the topic in the responder's mind
– Is there evidence?
• Avoid format effect
– Not in the middle!
– Is it in the closed?
Evaluation of the use of open questions
• Allows complex motivation
– Indicates more how respondent has interpreted it
– Indicate motivation that have influenced respondent's orientation to the
topic
– Indicates the frame of reference
• Problems associated with probing inadequate answer
– Turns to close
• Problems associated with coding response!
Evaluation assumptions
associated with closed questions
• Answers the question in the same way
-meaningfully comparable?
• Easier to answer
• More easily analyzed
– Interpretations
• Problems associated with recording responses to
closed questions
– Start with general instructions
– Explain why to answer
Measuring attitudes
Measuring attitudes
• List of respond alternatives p. 153
• Define topic clearly
• Applicability of the topic to respondents has to be
established
– Don’t know
• Respondents has to know what sort of answers they should
know
– Level of generality
• Specs of standards
– "Strongly agree"
Measuring attitudes
• Stimulus centered effects
– Number of categories
• 7 +/- 2
– Anchoring effects of he category labels
• The word in the positive/negative end?
• Problems in the batteries of rating scales
– Meaning can alter
– Some category
• long list. Don't know last when answering the first
• Ambiguity
Checks to ensure that questions
work as intended
Checks to ensure that questions
work as intended
• Editing rules (list p. 184)
• Piloting Question
– Observation hard, but must be done in the beginning to
ensure that questions work e.g. had to repeat?
• Question testing
– Rephrase the question in responder's own words
– Double interview
• Come in the beginning
– Allow aloud thinking
Esim KKK
• Kuinka monta parametroitua komponenttia on
tyypillisessä toimitettavassa tuotteessa (0=ei käytetä)?
• Miten paljon parametreja on tyypillisessä
parametroidussa komponentissa?
• Parametrien määrän vaihteluväli?
• Millaisia parametreja komponenteissa on?
• Millaisia arvoalueita parametreilla on (kokonaisluku,
arvoalue, yksi kokonaisluku joukosta , yksi annetuista
vaihtoehdoista, reaalilukuja, joukkoja)? Mitä muita?
Koponentti parametrinen vs
komponetin mukanaolo parametrista
Tieto vai mielipide
Halu vastata vai
vastaus olemassa?
Mikä on komponentti?
Mikä on tyypillinen
tuote?
Strukturaalinen kompleksisuus, liian
monimutkainen lause:
Kun toimitatte tuotteen, tuotteessa om
komponentteja. Kompoenenteilla voi
olla toimituskohtaisia parametreja.
Onko olemassa tällaisia
komponentteja, joissa on parametreja?
Montako tälläistä kompoenttia, jossa
on parametreja, tuotteessa on?
Vihjaa että pitäisi olla?
Jos ymmärsi aluksi väärin, halu
konsistenttiin ilmaisuun

More Related Content

What's hot

Dual credit psychology notes chapter 13 – psychological testing
Dual credit psychology notes   chapter 13 – psychological testingDual credit psychology notes   chapter 13 – psychological testing
Dual credit psychology notes chapter 13 – psychological testing
mrslocomb
 
Physcology test - pratik negi
Physcology test  - pratik negiPhyscology test  - pratik negi
Physcology test - pratik negi
pratik negi
 
Children's apperception test
Children's apperception testChildren's apperception test
Children's apperception test
Sanika Sathe
 
History clinical assessment[1]
History   clinical assessment[1]History   clinical assessment[1]
History clinical assessment[1]
Milen Ramos
 

What's hot (20)

Dual credit psychology notes chapter 13 – psychological testing
Dual credit psychology notes   chapter 13 – psychological testingDual credit psychology notes   chapter 13 – psychological testing
Dual credit psychology notes chapter 13 – psychological testing
 
Doing Qualitative Interview (updated jan 2011)
Doing Qualitative Interview (updated jan 2011) Doing Qualitative Interview (updated jan 2011)
Doing Qualitative Interview (updated jan 2011)
 
M.br7 expl research
M.br7 expl researchM.br7 expl research
M.br7 expl research
 
Semi-structured interviews for educational research
Semi-structured interviews for educational research Semi-structured interviews for educational research
Semi-structured interviews for educational research
 
Physcology test - pratik negi
Physcology test  - pratik negiPhyscology test  - pratik negi
Physcology test - pratik negi
 
Nature
NatureNature
Nature
 
Researching people: using questionnaires and interviews
Researching people: using questionnaires and interviewsResearching people: using questionnaires and interviews
Researching people: using questionnaires and interviews
 
Interview in research
Interview in researchInterview in research
Interview in research
 
Children's apperception test
Children's apperception testChildren's apperception test
Children's apperception test
 
A win-win deal: Critical thinking in Health Sciences education
A win-win deal: Critical thinking in Health Sciences educationA win-win deal: Critical thinking in Health Sciences education
A win-win deal: Critical thinking in Health Sciences education
 
Module 10- educational research-interview method
Module 10- educational research-interview methodModule 10- educational research-interview method
Module 10- educational research-interview method
 
Recruitment janurary 2016 batch
Recruitment  janurary 2016 batchRecruitment  janurary 2016 batch
Recruitment janurary 2016 batch
 
38105795 standardized-tools
38105795 standardized-tools38105795 standardized-tools
38105795 standardized-tools
 
Psychology 102: Introduction & overview
Psychology 102: Introduction & overviewPsychology 102: Introduction & overview
Psychology 102: Introduction & overview
 
History clinical assessment[1]
History   clinical assessment[1]History   clinical assessment[1]
History clinical assessment[1]
 
L6 interviews
L6 interviewsL6 interviews
L6 interviews
 
Interview research method in qualitative research methods
Interview research method in qualitative research methodsInterview research method in qualitative research methods
Interview research method in qualitative research methods
 
Psychological testing
Psychological testingPsychological testing
Psychological testing
 
Assessment Techniques in Affective and Psychomotor Domain
Assessment Techniques in Affective and Psychomotor DomainAssessment Techniques in Affective and Psychomotor Domain
Assessment Techniques in Affective and Psychomotor Domain
 
Projective tech.
Projective  tech. Projective  tech.
Projective tech.
 

Viewers also liked

Bronwyn Harch Evolving through Disruption v1
Bronwyn Harch Evolving through Disruption v1Bronwyn Harch Evolving through Disruption v1
Bronwyn Harch Evolving through Disruption v1
Bronwyn Harch (FTSE)
 
Celebration of applied computational and industrial mathematics june 12 13th ...
Celebration of applied computational and industrial mathematics june 12 13th ...Celebration of applied computational and industrial mathematics june 12 13th ...
Celebration of applied computational and industrial mathematics june 12 13th ...
Bronwyn Harch (FTSE)
 
ความรู้เรื่อง Blogger
ความรู้เรื่อง Bloggerความรู้เรื่อง Blogger
ความรู้เรื่อง Blogger
It'me Nutty
 
Manual de usuario
Manual de usuarioManual de usuario
Manual de usuario
Panchoover
 
วิชาภาษาอังกฤษ o-net
วิชาภาษาอังกฤษ o-netวิชาภาษาอังกฤษ o-net
วิชาภาษาอังกฤษ o-net
It'me Nutty
 
วิชาคณิตศาสตร์ o-net
วิชาคณิตศาสตร์ o-netวิชาคณิตศาสตร์ o-net
วิชาคณิตศาสตร์ o-net
It'me Nutty
 
วิชาภาษาไทย o-net
วิชาภาษาไทย o-netวิชาภาษาไทย o-net
วิชาภาษาไทย o-net
It'me Nutty
 
วิชาวิทยาศาสตร์ o-net
วิชาวิทยาศาสตร์ o-netวิชาวิทยาศาสตร์ o-net
วิชาวิทยาศาสตร์ o-net
It'me Nutty
 
ข้อสอบวิชาสังคม o-net
ข้อสอบวิชาสังคม o-netข้อสอบวิชาสังคม o-net
ข้อสอบวิชาสังคม o-net
It'me Nutty
 

Viewers also liked (16)

LaMima Gilbert Lewis PM
LaMima Gilbert Lewis PMLaMima Gilbert Lewis PM
LaMima Gilbert Lewis PM
 
Bronwyn Harch Evolving through Disruption v1
Bronwyn Harch Evolving through Disruption v1Bronwyn Harch Evolving through Disruption v1
Bronwyn Harch Evolving through Disruption v1
 
MANUAL DE USUSARIO
MANUAL DE USUSARIOMANUAL DE USUSARIO
MANUAL DE USUSARIO
 
Celebration of applied computational and industrial mathematics june 12 13th ...
Celebration of applied computational and industrial mathematics june 12 13th ...Celebration of applied computational and industrial mathematics june 12 13th ...
Celebration of applied computational and industrial mathematics june 12 13th ...
 
Presentación
PresentaciónPresentación
Presentación
 
ความรู้เรื่อง Blogger
ความรู้เรื่อง Bloggerความรู้เรื่อง Blogger
ความรู้เรื่อง Blogger
 
Manual de usuario
Manual de usuarioManual de usuario
Manual de usuario
 
Interviews
Interviews Interviews
Interviews
 
Agriculture meets informatics
Agriculture meets informaticsAgriculture meets informatics
Agriculture meets informatics
 
วิชาภาษาอังกฤษ o-net
วิชาภาษาอังกฤษ o-netวิชาภาษาอังกฤษ o-net
วิชาภาษาอังกฤษ o-net
 
วิชาคณิตศาสตร์ o-net
วิชาคณิตศาสตร์ o-netวิชาคณิตศาสตร์ o-net
วิชาคณิตศาสตร์ o-net
 
วิชาภาษาไทย o-net
วิชาภาษาไทย o-netวิชาภาษาไทย o-net
วิชาภาษาไทย o-net
 
วิชาวิทยาศาสตร์ o-net
วิชาวิทยาศาสตร์ o-netวิชาวิทยาศาสตร์ o-net
วิชาวิทยาศาสตร์ o-net
 
Objetivos de un problema
Objetivos de un problemaObjetivos de un problema
Objetivos de un problema
 
ข้อสอบวิชาสังคม o-net
ข้อสอบวิชาสังคม o-netข้อสอบวิชาสังคม o-net
ข้อสอบวิชาสังคม o-net
 
Interview and questionire
Interview and questionireInterview and questionire
Interview and questionire
 

Similar to Constructing questions for_interviews_&_questionnaires

Monitoring student learning in the classroom
Monitoring student learning in the classroomMonitoring student learning in the classroom
Monitoring student learning in the classroom
cik noorlyda
 
Data collection and Research Report April 29 2011 sent to students.ppt
Data collection and Research Report April 29 2011 sent to students.pptData collection and Research Report April 29 2011 sent to students.ppt
Data collection and Research Report April 29 2011 sent to students.ppt
MohammedAbdela7
 
Questionnaire design & admin
Questionnaire design & adminQuestionnaire design & admin
Questionnaire design & admin
Shameem Ali
 
Close reading workshop
Close reading workshopClose reading workshop
Close reading workshop
Melissa
 
Lesson - Questionnaire.pptx
Lesson         -           Questionnaire.pptxLesson         -           Questionnaire.pptx
Lesson - Questionnaire.pptx
JessaBejer1
 

Similar to Constructing questions for_interviews_&_questionnaires (20)

Chapter 11: Effective Instructional Techniques
Chapter 11: Effective Instructional TechniquesChapter 11: Effective Instructional Techniques
Chapter 11: Effective Instructional Techniques
 
Monitoring student learning in the classroom
Monitoring student learning in the classroomMonitoring student learning in the classroom
Monitoring student learning in the classroom
 
Interviews 2006
Interviews 2006Interviews 2006
Interviews 2006
 
RESEARCH Questionnaire
RESEARCH QuestionnaireRESEARCH Questionnaire
RESEARCH Questionnaire
 
method of data collection lecture.ppt
method of data collection lecture.pptmethod of data collection lecture.ppt
method of data collection lecture.ppt
 
Data collection and Research Report April 29 2011 sent to students.ppt
Data collection and Research Report April 29 2011 sent to students.pptData collection and Research Report April 29 2011 sent to students.ppt
Data collection and Research Report April 29 2011 sent to students.ppt
 
Questionnaire in Market Research.pptx
Questionnaire in Market Research.pptxQuestionnaire in Market Research.pptx
Questionnaire in Market Research.pptx
 
Questionnaire design & admin
Questionnaire design & adminQuestionnaire design & admin
Questionnaire design & admin
 
Data collection
Data collectionData collection
Data collection
 
Assessment in education how to writing a question
Assessment  in education how to writing a questionAssessment  in education how to writing a question
Assessment in education how to writing a question
 
Psych 24 history of personality assessment
Psych 24 history of personality assessmentPsych 24 history of personality assessment
Psych 24 history of personality assessment
 
Psych 24 history of personality assessment
Psych 24 history of personality assessmentPsych 24 history of personality assessment
Psych 24 history of personality assessment
 
Questionnaire design spring2004
Questionnaire design spring2004Questionnaire design spring2004
Questionnaire design spring2004
 
Arc 323 human studies in architecture fall 2018 lecture 5-research methods 2
Arc 323 human studies in architecture fall 2018 lecture 5-research methods 2Arc 323 human studies in architecture fall 2018 lecture 5-research methods 2
Arc 323 human studies in architecture fall 2018 lecture 5-research methods 2
 
Data collection methods
Data collection methodsData collection methods
Data collection methods
 
Close reading workshop
Close reading workshopClose reading workshop
Close reading workshop
 
3 Oral exams Liz Norman ANZCVS 2018
3 Oral exams Liz Norman ANZCVS 20183 Oral exams Liz Norman ANZCVS 2018
3 Oral exams Liz Norman ANZCVS 2018
 
Chapter4B.ppt
Chapter4B.pptChapter4B.ppt
Chapter4B.ppt
 
Lesson - Questionnaire.pptx
Lesson         -           Questionnaire.pptxLesson         -           Questionnaire.pptx
Lesson - Questionnaire.pptx
 
Oral exams Liz Norman ANZCVS 2017
Oral exams Liz Norman ANZCVS 2017Oral exams Liz Norman ANZCVS 2017
Oral exams Liz Norman ANZCVS 2017
 

Recently uploaded

Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
 

Recently uploaded (20)

Spring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUKSpring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
 
JohnPollard-hybrid-app-RailsConf2024.pptx
JohnPollard-hybrid-app-RailsConf2024.pptxJohnPollard-hybrid-app-RailsConf2024.pptx
JohnPollard-hybrid-app-RailsConf2024.pptx
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
Introduction to use of FHIR Documents in ABDM
Introduction to use of FHIR Documents in ABDMIntroduction to use of FHIR Documents in ABDM
Introduction to use of FHIR Documents in ABDM
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)
AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)
AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 
AI in Action: Real World Use Cases by Anitaraj
AI in Action: Real World Use Cases by AnitarajAI in Action: Real World Use Cases by Anitaraj
AI in Action: Real World Use Cases by Anitaraj
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 

Constructing questions for_interviews_&_questionnaires

  • 1. Constructing questions for interviews & questionnaires Theory and practice in social research Shahbaz Mehmood
  • 2. Preface • These slides include one theoretical framework for constructing questions and a small set of good and bad practices for constructing questions • This is not only or complete set, but gives hints about what should you think when constructing questions.
  • 3. Errors in gathering data through survey procedures are • Responders’ failure to understand questions an intended • A lack of effort or interest on the part of responders • Respondents’ unwillingness to admit certain attitudes or behaviours • The failure of respondents’ memory or comprehension process in the stressed condition of the interview • Interviewers failures of various kinds (e.g. the tendency to change wording, failures in presentation procedures and the adoption of faulty recording process
  • 4. Examples that illustrate the inadequate of many of the questions • Factual questions sometimes elicit invalid answer: As simple as age • Relationship between what respondents say and what they actually do in not always very strong: E.g. racism: Questions: Do you let a black person inside a bar? Do they really? • Responders’ attitudes, beliefs, opinions, habits interests often seem to be extraordinary unstable • Small changes in wording sometimes produce major changes in the distribution of responses • Respondents commonly misinterpret questions • Answer to earlier question can affect to later question • Order of options changes the respondents: e.g. middle option • Format of question: Open vs. close • Respondents answer even if they don't know about the topic • Cultural context affects
  • 5. The principal assumptions that have defined the general orientation adopted by survey researcher in the past • The researcher has clearly defined the topic about which information is required • Respondents have the information that researcher requires • Respondents are able to access the required information under the conditions of the research situation • Respondents can understand every question as intended • Respondents are willing (or at least, can be motivated) to give the information • Responses are more valid if they know why that is asked • Answers are more valid if they are not suggested • The research situation does not affect to the results • The process does not affect the respondent • All responses are meaningfully comparable
  • 6. The traditional survey model Researcher/ Interviewer Respondent A carefully standardised physical stimulus (i.e. question) A response (i.e. answer) expressed in term of a standardised format provided by the researcher
  • 7. The key issue: the comparability of aswer • The reseacher must be clear about the nature of the information required and encode a request for this format • The respondent must decode this request in the way the researcher intends it to be decoded • The respondent must encode an answer that contains the information researcher has requested • The reseacher must decode an answer as the respondent intendedd it to be encoded
  • 8. Symbolic interactioinist theory • Human beings interpret and define each other's actions. Not only simple stimulus-response • Human beings can be objects of their own attention. Argue themselves, take pride themselves… • Conscious social behavior is intentional behavior. Situation affects. • Interpreting, planning and acting are ongoing process which begin anew at every stage of a social process • In situation there is a role and person wants to hold on it. • Always exists • In brief: social situation is constantly negotiating a shared definition of the situation; taking one another's viewpoint into account; and interpreting another's behavior
  • 9. A model of symbolic interactionist view of question answer behaviour Encodes question, taking into account own purposes and presumptions/knowledge about the respondent, and perceptions of the respondent's presumptions/knowledge about self Decodes question, taking into account own purposes and presumptions/knowledge about the interviewer, and perceptions of the interviewer's presumptions/knowledge about self Encodes question, taking into account own purposes and presumptions/knowledge about the interviewer, and perceptions of the interviewer's presumptions/knowledge about self Encodes question, taking into account own purposes and presumptions/knowledge about the respondent, and perceptions of the respondent's presumptions/knowledge about self Interviewer Responder
  • 10. The implication of the symbolic interaction theory for social research • Roles • Respondents try to find a mutually shared definition of the situation • Interpretation of researcher acts • Clues of what kind of information researcher wants
  • 11. Other • Multidimensionality. Nothing is one- dimensional • Level of generality in the statements • Level of generality in the topic • Utterance frame: descriptive, explanatory or evaluative
  • 12. Defining topic properly Encodes question. The need to clearly specify the information that is required. The assumption that the respondent have the required information. The assumption that the respondents can access the information Decodes question Encodes answerDecodes answer Interviewer Responder
  • 13. Researcher has clearly defined the required information • Defined topic – Global vs. local (29) – Dimensions (economic, technical...) • Is PL good thing: Marketing vs. Technical – E.g. better social secure in cost of taxes • Researcher has clear idea what kind of information is required
  • 14. Responder have required information • Hypothetical question => hypothetical Answer • Willingness to answer vs. information to answer • Opinions vs. facts – Grounded opinions – Serious opinions • Responds are capable of verbalising information. – Not hurry, give time to answer
  • 15. Formulating intelligible requests for information Encodes question. Formulating an intelligible request for information. Defining key terms for respondents and virtues of simplicity and breity Decodes question Encodes answerDecodes answer Interviewer Responder
  • 16. The meaning of individual words • Context specific meanings – Ambiguities words – Different meanings – Cultural decencies • Relative difficulty of words – foreign words • The operation of unintended nuances associated with apparently similar words – Forbid vs. allow
  • 17. The meaning of concepts • Lack of empirical references – How should be – Difficul, unclear, wide concepts • Context decencies (often, usually etc.) • Concrete: Not: often, quite often, seldom. Use 1,2,3,4,5
  • 18. Structural complexities • Number of words • Less is better, but not complex ones • Grammatical – Asking too much in one question – divide & conquer – not what you like this and that! • Not too much negatives: Double is bad
  • 19. Good practices • Descriptive introduction: I'd like to describe… • Explain before question – The addition of clauses, phrases and instructions • Anecdotes • Education of the respondent affects
  • 20. Contextual influences on respondents' interpretation of questions Encodes question. Encodes answerDecodes answer Interviewer Responder Decodes question Contextual clues that influence respondents’ interpretations
  • 21. Clues afforded by either the Question itself or its components • Clues associated with the question – Some existing idea always – Leading questions • Clues in components – Additional phrases – Note: Vegetables e.g. spinach not associated vegetarian in general as intended
  • 22. Clues in response options. • Approve or disapprove - not only approve in question • Scale • Pre-set response options as memory clues – May not remember other options – Information range covered by the options. – Who counts own averages? – Abstract: no knowledge of normative levels • Response biased with number of options – Respondent favor first when reads, last when hears - vary the order – Let responder tell, if no-one match
  • 23. Impact of preceding questions • Influence associated with prior Q. Issues: – Does one have any knowledge? – How deep is knowledge or how thorough – How one interprets • Psychological need for consistent – Need to stay in one opinion • Even-handedness – Fair for all sides
  • 24. Impact of preceding questions (cont’d) • The impact of the previous answers • The impact of the overall situation – Semantics of human mind. – Willingness to give information
  • 25. Contextual influences on respondents' interpretation of questions Encodes question. Encodes answer The kind of answer given is defined by the dimension of the response framework that is employed Decodes answer Interviewer Responder Decodes question
  • 26. Descriptive accounts • How to describe the situation • Perspectives
  • 27. Level of social generality of responses • You? Singular or plural?
  • 28. Explanations • Respondent can frame an explanation in many different ways • Why did you do X – Causal antecedent - what caused to do X – Goal antecedent - purpose for X – Enablement factors - how possible – Causal consequences - what happened after X – The researcher's expectations
  • 29. Evaluations • Always relative • Standards necessary does not exists • Evaluative standard that are external to the question – Pleasant/easy flight - pilot vs. passenger • Evaluative standard that are built in to the question – Agree -disagree
  • 31. Limitations of human memory • Long term memory problems – Nobody remembers all – Ask from present to past, not past to present. • Short term memory problems – Simple questions
  • 33. Filters • Establishing the relevance of questions to respondent – Respondents tend to answer all the questions • “I don't know enough” – Don't know vs. don't have opinion – Position of filters • Middle and don’t know are problematic • Middle category at all – subjective viewpoint to strongly (dis)agree • How strongly?
  • 35. Reducing question threat • Always some threat • Biased • Refuse
  • 36. How? • Casual, Do you happen to have…? • Imputation of deviance, You know everyone does. • Anonymous • Lessen psychological immediacy of the Q (e.g. other instead self. Numeric coding of alternatives) • Decrease specificity of the information called (e.g. broad response categories) • Adopt knowing so that respondents have to confirm rather than volunteer • 'Kinsey' straight at eyes and ask • Adopt indirect so that respond give answer without knowing • Place threatening Q at the end of series
  • 37. How? (cont’d) • Door in the face: Ask direct, if does not answer ask indirect/about e.g. salary. • Ask long, don’t hesitate top repeat, give time and encourage to use time • The definition of Q threat
  • 38. Threat causes bias • Topics that are desirable and over-reported – Be good citizen – Be well informed and cultural person – Have fulfilled of moral and social responsibilities • Topics that are socially undesirable and under-reported – Illness and disabilities – Illegal and contra-normative behavior – Financial status • Feeling of guilt or personal fears • Threat associated with the nature of the relationship between interviewer and respond – Social equity – Fear of political or economical sanctions
  • 39. Open vs. closed question debate
  • 40. Open vs. closed question debate • Coding responses to open questions • Formulating response option for closed question
  • 41. Evaluation of the use of open questions • Open Q doesn’t suggest answer -- or does it? – Respondent’s use of "probes" • Indicate level of knowledge – Assumptions • will answer open Q if knows • don't try to answer open Q if don't know • wil answer closed question if don't know • Answers indicate the salience of the topic in the responder's mind – Is there evidence? • Avoid format effect – Not in the middle! – Is it in the closed?
  • 42. Evaluation of the use of open questions • Allows complex motivation – Indicates more how respondent has interpreted it – Indicate motivation that have influenced respondent's orientation to the topic – Indicates the frame of reference • Problems associated with probing inadequate answer – Turns to close • Problems associated with coding response!
  • 43. Evaluation assumptions associated with closed questions • Answers the question in the same way -meaningfully comparable? • Easier to answer • More easily analyzed – Interpretations • Problems associated with recording responses to closed questions – Start with general instructions – Explain why to answer
  • 45. Measuring attitudes • List of respond alternatives p. 153 • Define topic clearly • Applicability of the topic to respondents has to be established – Don’t know • Respondents has to know what sort of answers they should know – Level of generality • Specs of standards – "Strongly agree"
  • 46. Measuring attitudes • Stimulus centered effects – Number of categories • 7 +/- 2 – Anchoring effects of he category labels • The word in the positive/negative end? • Problems in the batteries of rating scales – Meaning can alter – Some category • long list. Don't know last when answering the first • Ambiguity
  • 47. Checks to ensure that questions work as intended
  • 48. Checks to ensure that questions work as intended • Editing rules (list p. 184) • Piloting Question – Observation hard, but must be done in the beginning to ensure that questions work e.g. had to repeat? • Question testing – Rephrase the question in responder's own words – Double interview • Come in the beginning – Allow aloud thinking
  • 49. Esim KKK • Kuinka monta parametroitua komponenttia on tyypillisessä toimitettavassa tuotteessa (0=ei käytetä)? • Miten paljon parametreja on tyypillisessä parametroidussa komponentissa? • Parametrien määrän vaihteluväli? • Millaisia parametreja komponenteissa on? • Millaisia arvoalueita parametreilla on (kokonaisluku, arvoalue, yksi kokonaisluku joukosta , yksi annetuista vaihtoehdoista, reaalilukuja, joukkoja)? Mitä muita? Koponentti parametrinen vs komponetin mukanaolo parametrista Tieto vai mielipide Halu vastata vai vastaus olemassa? Mikä on komponentti? Mikä on tyypillinen tuote? Strukturaalinen kompleksisuus, liian monimutkainen lause: Kun toimitatte tuotteen, tuotteessa om komponentteja. Kompoenenteilla voi olla toimituskohtaisia parametreja. Onko olemassa tällaisia komponentteja, joissa on parametreja? Montako tälläistä kompoenttia, jossa on parametreja, tuotteessa on? Vihjaa että pitäisi olla? Jos ymmärsi aluksi väärin, halu konsistenttiin ilmaisuun