Quantitative Data Analysis: Scale’s Reliability and Validity


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[PowerPoint]

Date:

26 June 2015 (Friday)


Time:

3:00 pm – 5:00 pm 


Venue:

B0614, 6/F, Block B, The Open University of Hong Kong, Homantin, Kowloon


Speaker:        

Mr Simon Lam Ching

Division of Nursing & Health Studies

The Open University of Hong Kong


Target participants:

Those who may need to test the reliability and validity of a measurement for research purposes


Abstract:

 

Scientists use measurement as a way of understanding, evaluating and differentiating characteristics of people and objects. Measurement provides a mechanism for achieving a degree of precision in this understanding, so that we can describe these characteristics according to their quantity, degree, capacity or quality. Therefore, the reliability and validity (i.e., psychometric properties) of measurement is of concern.

 

This seminar focuses on the testing of reliability and validity of a measurement. It will cover the basic concept of measurement and then how to perform psychometric testing, interpret the results of psychometric testing and report the psychometric properties of a given instrument. It will introduce some essential and common types of psychometric testing, supplemented with real examples.

 

References:

Lam, S. C. (2014). Validation and cross-cultural pilot testing of Compliance with Standard Precautions Scale: Self-administered instrument for clinical nurses. Infection Control and Hospital Epidemiology, 35(5), 547-555. doi: 10.1086/675835.

Lam, S. C., Lee, D. T. F., & Yu, D. S. F. (2014). Establishing cutoff values for the Simplified Barthel Index in elderly adults in residential care homes. American Journal of Geriatric Society, 62(3), 575-577. doi: 10.1111/jgs.12716.

Lam, S. C., Wong, Y. Y., & Woo, J. (2010). Reliability and validity of the Abbreviated Mental Test (Hong Kong version) in residential care homes. Journal of the American Geriatrics Society, 58(11), 2255-2257. doi: 10.1111/j.1532-5415.2010.03129.x


Enquiries:

Hoyee Auyeung

Tel: 2768-6051

Email: hauyeung@ouhk.edu.hk

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