The document provides guidance on developing questionnaires using a multivariate approach. It emphasizes observing populations from multiple perspectives, conducting literature reviews, and using statistical modeling and analysis to understand relationships between items and dimensions. Validity and reliability studies are important to refine the questionnaire and understand how intervening variables may influence responses.

1. PRINCIPLES OF QUESTIONNAIRE DEVELOPMENT: MULTIVARIATE APPROACH Dr. D. Dutta Roy, Ph.D. Psychology Research Unit INDIAN STATISTICAL INSTITUTE 203, B.T. Road, Kolkata – 700 108 E-mail: ddroy @ isical .ac.in http://www.isical.ac.in/~ddroy Venue: P.G. Department of Psychology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad (MS) 431004, India

2. Questionnaire development is an Art. Develop Multivariate Temperament

3. Items are flying, feel,catch and paint them with your inner voice.

7. Experience your dream

10. Painting & Writing your feelings Your writing will help you to develop items/statements of questionnaire

11. Questionnaire Development is a process of structuring and restructuring items

13. Statistical Modeling (Hypothetical Regression) D1= i1w1+ i2w2+ i3w3+ i4w4+ i5w5+ i6w6+ i7w7+ i8w8+ i9w9+ i10w10+i11w11 D2=i1w1+ i2w2+ i3w3+ i4w4+ i5w5+ i6w6+ i7w7+ i8w8+ i9w9+ i10w10 +i11w11 D3=i1w1+ i2w2+ i3w3+ i4w4+ i5w5+ i6w6+ i7w7+ i8w8+ i9w9+ i10w10+ +i11w11 D4=i1w1+ i2w2+ i3w3+ i4w4+ i5w5+ i6w6+ i7w7+ i8w8+ i9w9+ i10w10 +i11w11 D:Dimension; I:Item; w=Beta weight

14. Find out variables for Host’s response to items Agent Host Environment

15. Dynamics of variables Initial E X P R E S S I O n Middle Terminal A E H H H

16. Make sampling in such a fashion so that role of intervening variables on item response can be controlled Can we assess their perception, beliefs and attitudes ?

17. Observe and interview sample to find out underlying reasons behind item-response variation

18. MULTIVARIATE ANALYSIS OF QUESTIONNAIRE RESPONSE

19. Myths about Multivariate Statistical Models

28. Test-Retest Multi-item response Consistency (8 months interval)

29. Test-Retest Multi-Trait Consistency (8 months interval) After 8 moths Tool: Reading motivation questionnaire (Dutta Roy, 2002); N=72 students of same school

34. Item-Item correspondence: Internal consistency among 42 items of Reading Motivation questionnaire Correspondence Map shows cluster of intrinsic reading motivation items and extrinsic motivation items are scattered widely.

35. Correspondence map of traits

37. Types of Validity Expert Judgment Content Item-Total correlation Construct Factorial Criterion Concurrent Predictive Convergent Discriminative

45. Studies on Validity of questionnaire

46. Studies CONTENT Item-Rating correspondence of questionnaire measuring computer programming task taxonomy. CRITERION RELATED Step-wise Multiple regression in predicting academic achievement through reading motivation. Predictive CONSTRUCT Correspondence analysis to explore latent structure of RMQ Factorial Discriminative Discriminative validity of Attitude towards School Infrastructure questionnaire (ASIQ)

47. Content validity: Item-Rating Correspondence Input data for CA Dutta Roy,D. (2002). Correspondence between item and rating on the checklist of relative importance of computer programming tasks., Journal of Psychometry , 16,2,67-76.

48. Criterion related validity:Stepwise Multiple regression Inter correlation matrix of reading motivation variables (n=200) Data collected from Bengali medium schools

49. Correspondence analysis to explore latent structure of RMQ Chi-square (36) = 3041.4, p< 0.00001

51. Multivariate model is the Journey to Harmony THANK YOU