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How to validate a questionnaire 
Dr Tan Chai Eng 
Introduction to Research 
Dr Fam Med 
2014
Objectives 
• What type of validation do I need to do? 
• The process of content validation 
• The process of linguistic validation 
• The process of using exploratory factor 
analysis for determining construct validity
Types of validation 
• Content validation? 
• Newly developed 
questionnaire / survey 
• Linguistic validation? 
• Questionnaire in non-local 
language 
• Construct validation by 
exploratory factor analysis? 
• Checking whether the tool 
measures factors consistent 
with theoretical concepts 
• Criterion validation? 
• Can it correctly predict / 
discriminate 
conditions?
Content Validation 
•Identify topic of interest 
•Gather a collection of relevant experts 
•Brainstorm items / qualitative study to 
provide items related to the topic of 
interest 
Vet the items proposed in detail: 
•Are the contents relevant? 
•Are the items representative of the 
many aspects of the intended aspect 
to be measured?
Why content validation? 
• Before you proceed to 
construct validation, 
you need to make sure 
that you have covered 
all aspects that could 
potentially be related to 
the topic of interest!
Process of linguistic validation 
Forward 
Translation 
• Ideally 2 independent translation to target language 
• Language experts – conceptual vs semantic equivalence 
Reconciliation of 
translated version 
• Committee to review both translations 
• Decide on the most appropriate wording 
Back translation 
• Reconciled translation sent to another 2 independent 
translators
Process of linguistic validation 
Comparing with 
original tool 
• Compare the back-translation with original tool 
• Check for conceptual equivalence 
Expert review 
• Psychologist and clinician review 
Cognitive 
debriefing 
• Do they understand the questionnaire? 
• Comments on wording.
Linguistic validation 
• Saya berasa susah 
untuk menurunkan 
angin 
• Saya sedar tentang 
kekeringan mulut 
• Saya nampaknya tidak 
dapat mengalami apa-apa 
perasaan yang 
positif langsung 
DASS 21
Linguistic Validation 
• Kesal atau marah di atas 
benda-benda kecil 
• Mulut terasa kering 
• Tidak dapat mengalami 
perasaan positif 
DASS 21 
Malay version of DASS 21 by Dr Ramli 
Musa
Linguistic Validation 
• If linguistic validation is not done, respondents 
may interpret the items differently and give 
inaccurate responses. 
• Even English versions need to be adapted and 
validated locally to ensure conceptual 
equivalence and acceptability.
Process of linguistic validation 
• Any inappropriately worded items  need to 
repeat the process until an acceptable version 
is achieved 
• Desired outcome – conceptually equivalent 
and suitable for local setting
Construct validation 
• Exploratory factor analysis 
• Confirmatory factor analysis 
• Rasch model analysis 
• Structural equation modelling 
• Contrast analysis 
Will not be discussed in detail during this lecture
Exploratory factor analysis 
• Data reduction, can be done using SPSS 
• Explores the underlying factor structure 
• Determines the correlation between each 
item in the questionnaire 
• Items that belong to the same factor should 
be highly correlated with each other
Exploratory factor analysis 
Administer tool to a wide 
variety of samples 
•Heterogeneous sample is desirable. 
•Not generalisable. 
•Purposive sampling 
Test for suitability for principal 
components analysis 
Determine number of factors 
to extract 
•Kaiser-Meyer-Olkin > 0.6 
•Bartlett’s test of sphericity - significant 
•Monte Carlo parallel analysis 
•Kaiser’s criterion 
•Scree plot
Exploratory factor analysis 
Run principal components analysis 
based on pre-determined number 
of factors 
Interpret the factor structure 
Choice of rotation depends on whether 
theoretically the factors are correlated 
or not. 
High factor loading means item is 
correlated with the factors 
Name the factors, test internal 
consistency of each factor
Example
Exploratory factor analysis 
• May reveal that the constructs measured by 
the questionnaire is different from the original 
questionnaire 
• Confirmatory factor analysis to test how well 
the items fit into the proposed structure 
• Ideally construct should be similar to original 
to allow cross-cultural comparison
Exploratory factor analysis 
Parker et al 
(original MPP – 
US) 
Chiu et al 
(Singapore) 
Fujimori et al 
(Japan) 
Mauri et al 
(Italy) 
Tan et al 
(Malaysia) 
3 factors: 
•Content 
•Facilitation 
•Support 
2 factors: 
•Content and 
facilitation 
•Support 
5 factors: 
•Emotional 
support 
•Medical 
information 
•Clear 
explanation 
•Encouraging 
question asking 
•Setting 
3 factors: 
•Information 
•Support 
•Care 
3 factors: 
•Content and 
facilitation 
•Emotional 
support 
•Structural and 
informational 
support
Criterion validation 
• Predictive validity - the scores from the new measure 
to predict performance on a criterion measure 
administered at a later time. 
Mislevy, J (2010). doi: 
http://dx.doi.org/10.4135/9781412961288.n67 
– MoCA vs neuropsychological testing (gold 
standard) in frontotemporal dementia 
Freitas et al, 2012
Criterion validation 
• Concurrent validity -the extent to which scores on a 
new measure are related to scores from a criterion 
measure administered at the same time. 
– QoL in obesity vs SF-36 
Mislevy, J (2010). doi: 
http://dx.doi.org/10.4135/ 
9781412961288.n67 
Moorehead et al, 2003
Good luck… 
Image from b2bprblog.marxcommunications.com

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Itr validation 2

  • 1. Image from www.expertbriefings.com How to validate a questionnaire Dr Tan Chai Eng Introduction to Research Dr Fam Med 2014
  • 2. Objectives • What type of validation do I need to do? • The process of content validation • The process of linguistic validation • The process of using exploratory factor analysis for determining construct validity
  • 3. Types of validation • Content validation? • Newly developed questionnaire / survey • Linguistic validation? • Questionnaire in non-local language • Construct validation by exploratory factor analysis? • Checking whether the tool measures factors consistent with theoretical concepts • Criterion validation? • Can it correctly predict / discriminate conditions?
  • 4. Content Validation •Identify topic of interest •Gather a collection of relevant experts •Brainstorm items / qualitative study to provide items related to the topic of interest Vet the items proposed in detail: •Are the contents relevant? •Are the items representative of the many aspects of the intended aspect to be measured?
  • 5. Why content validation? • Before you proceed to construct validation, you need to make sure that you have covered all aspects that could potentially be related to the topic of interest!
  • 6. Process of linguistic validation Forward Translation • Ideally 2 independent translation to target language • Language experts – conceptual vs semantic equivalence Reconciliation of translated version • Committee to review both translations • Decide on the most appropriate wording Back translation • Reconciled translation sent to another 2 independent translators
  • 7. Process of linguistic validation Comparing with original tool • Compare the back-translation with original tool • Check for conceptual equivalence Expert review • Psychologist and clinician review Cognitive debriefing • Do they understand the questionnaire? • Comments on wording.
  • 8. Linguistic validation • Saya berasa susah untuk menurunkan angin • Saya sedar tentang kekeringan mulut • Saya nampaknya tidak dapat mengalami apa-apa perasaan yang positif langsung DASS 21
  • 9. Linguistic Validation • Kesal atau marah di atas benda-benda kecil • Mulut terasa kering • Tidak dapat mengalami perasaan positif DASS 21 Malay version of DASS 21 by Dr Ramli Musa
  • 10. Linguistic Validation • If linguistic validation is not done, respondents may interpret the items differently and give inaccurate responses. • Even English versions need to be adapted and validated locally to ensure conceptual equivalence and acceptability.
  • 11. Process of linguistic validation • Any inappropriately worded items  need to repeat the process until an acceptable version is achieved • Desired outcome – conceptually equivalent and suitable for local setting
  • 12. Construct validation • Exploratory factor analysis • Confirmatory factor analysis • Rasch model analysis • Structural equation modelling • Contrast analysis Will not be discussed in detail during this lecture
  • 13. Exploratory factor analysis • Data reduction, can be done using SPSS • Explores the underlying factor structure • Determines the correlation between each item in the questionnaire • Items that belong to the same factor should be highly correlated with each other
  • 14. Exploratory factor analysis Administer tool to a wide variety of samples •Heterogeneous sample is desirable. •Not generalisable. •Purposive sampling Test for suitability for principal components analysis Determine number of factors to extract •Kaiser-Meyer-Olkin > 0.6 •Bartlett’s test of sphericity - significant •Monte Carlo parallel analysis •Kaiser’s criterion •Scree plot
  • 15. Exploratory factor analysis Run principal components analysis based on pre-determined number of factors Interpret the factor structure Choice of rotation depends on whether theoretically the factors are correlated or not. High factor loading means item is correlated with the factors Name the factors, test internal consistency of each factor
  • 17. Exploratory factor analysis • May reveal that the constructs measured by the questionnaire is different from the original questionnaire • Confirmatory factor analysis to test how well the items fit into the proposed structure • Ideally construct should be similar to original to allow cross-cultural comparison
  • 18. Exploratory factor analysis Parker et al (original MPP – US) Chiu et al (Singapore) Fujimori et al (Japan) Mauri et al (Italy) Tan et al (Malaysia) 3 factors: •Content •Facilitation •Support 2 factors: •Content and facilitation •Support 5 factors: •Emotional support •Medical information •Clear explanation •Encouraging question asking •Setting 3 factors: •Information •Support •Care 3 factors: •Content and facilitation •Emotional support •Structural and informational support
  • 19. Criterion validation • Predictive validity - the scores from the new measure to predict performance on a criterion measure administered at a later time. Mislevy, J (2010). doi: http://dx.doi.org/10.4135/9781412961288.n67 – MoCA vs neuropsychological testing (gold standard) in frontotemporal dementia Freitas et al, 2012
  • 20. Criterion validation • Concurrent validity -the extent to which scores on a new measure are related to scores from a criterion measure administered at the same time. – QoL in obesity vs SF-36 Mislevy, J (2010). doi: http://dx.doi.org/10.4135/ 9781412961288.n67 Moorehead et al, 2003
  • 21. Good luck… Image from b2bprblog.marxcommunications.com