Measures papers
Will sustainable development goals deliver wellbeing? A systematic review and meta analysis to investigate whether WHOQOL-BREF scores respond to change.
2018
The WHOQoL-BREF is a short questionnaire to measure quality of life that is appropriate for a range of cultures.
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This study reviewed all available studies where QoL was measured using the WHOQoL-BREF where changes in QoL was expected (e.g., interventions, negative life events).
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We found that The WHOQoL-BREF was sensitive enough to detect changes in QoL across domains of psychological, physical, social and environmental QoL.
Estimating the prevalence of socially sensitive behaviors: Attributing guilty and innocent noncompliance with the single sample count method
2014
This paper introduces a way of measuring socially sensitive behaviour in a way that we can't tell if the individual engages in that behaviour but we can tell what percentage of a sample performs that behaviour.
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The measure also ables us to estimate guilty (i.e., engages in the behaviour and does not answer the question) and innocent (i.e., does not engage in the behaviour and does not answer the question) non-compliance.
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Eating problems in adolescents with Type 1 diabetes: A systematic review with meta analysis
2013
We analysed studies that had measured eating disorders and disordered eating in adolescents with Type 1 Diabetes.
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We found that generic eating disorder questionnaires (i.e., those that are not specific to diabetes) were inaccurate as they seemed to overestimate the prevalence of eating disorders in this group. Diabetes specific questionnaires did not show a signifiant difference in prevalence of eating disorders in those with Type 1 Diabetes and those without suggesting that these questionnaires are more accurate.
Reliability, validity, and acceptability of a brief measure of capabilities, opportunities and motivations
Unpublished
This paper reports on the development of a questionnaire to measure things that predict behaviour (according to a model of behaviour change called the COM-B model).
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We found that it was valid (i.e., measured what we wanted it to measure), reliable (i.e., consistently measured the things over time) and was acceptable to people.