Testing the equivalence of paper and computer survey formats of a child self-report mental health measure using DIF analysis

2014 ◽  
Author(s):  
P. Patalay ◽  
J. Deighton ◽  
P. Fonagy ◽  
M. Wolpert
Keyword(s):  
Mental Health ◽  
Self Report ◽  
Health Measure ◽  
Mental Health Measure

scholarly journals Equivalence of Paper and Computer Formats of a Child Self-Report Mental Health Measure

2015 ◽  
Vol 31 (1) ◽  
pp. 54-61 ◽  
Author(s):  
Praveetha Patalay ◽  
Jessica Deighton ◽  
Peter Fonagy ◽  
Miranda Wolpert
Keyword(s):  
Mental Health ◽  
Young People ◽  
Self Report ◽  
Equivalence Testing ◽  
Scale Level ◽  
Health Measures ◽  
Health Measure ◽  
Mental Health Measure ◽  
Item Level ◽  
Computer Based

Research examining the equivalence of paper and computer-based adult mental health measures has found mixed results, and this issue has not been explored for child self-report measures. Results from adult studies cannot be generalized to young people, especially taking into consideration research indicating that current generations are more comfortable disclosing sensitive information on computer-based media. This paper investigates the psychometric equivalence of the paper (N = 777) and computer (N = 777) formats of a child and adolescent self-report mental health measure, “Me and My School” (M&MS), completed by school pupils aged 8–14 years. Common practice in equivalence testing has been to use scale-level analysis and factor structure equivalence; the limitation being inability to assess format-based differences at the item-level. We conduct differential item functioning (DIF) analysis to assess whether item-response probability is different based on survey format. Results demonstrate that young people completing the M&MS on paper have lower scale-level overall scores. However, DIF analyses indicate that this difference is not explained by item-level probabilities. The results suggest that survey format equivalence testing of other widely used child and adolescent mental health measures may be necessary before data from different formats are directly compared or combined.

Attitudes To and Stereotypes of Mental Health Measure

2011 ◽  
Author(s):  
Esa Aromaa ◽  
Asko Tolvanen ◽  
Jyrki Tuulari ◽  
Kristian Wahlbeck
Keyword(s):  
Mental Health ◽  
Health Measure ◽  
Mental Health Measure

scholarly journals Using a patient-generated mental-health measure ‘PSYCHLOPS’ to explore problems in patients with coronary heart disease

2014 ◽  
Vol 64 (623) ◽  
pp. e354-e363 ◽  
Author(s):  
Rebecca Lawton ◽  
Paul T Seed ◽  
Maria Kordowicz ◽  
Peter Schofield ◽  
André Tylee ◽  
...  
Keyword(s):  
Mental Health ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Health Measure ◽  
Mental Health Measure
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