As in all scientific research, it is important for psychometric assessments to be both valid and reliable, but because many constructs in psychology are latent, it can be difficult to evaluate assessments for their accuracy and efficacy. Within psychometric assessments, evaluation is broadly split into two sections, reliability, the consistency of measured scores; and validity, which is used to determine how accurately a test measures what it claims to be measuring (Murphy et al., 2010; Wasserman & Bracken, 2012). Researchers are able to thoroughly evaluate the merit of psychometric assessments using various components of these sections.
This paper uses the Satisfaction With Life Scale as a case study to discuss the evaluation of psychometric assessments. The Satisfaction With Life Scale (SWLS) was developed as a measure of subjective, overall wellbeing. The SWLS draws on existing understandings of subjective wellbeing, and the scale has been specifically designed to measure the cognitive evaluation of satisfaction. It was established ...
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...with further empirical experimentation, like manipulation, can allow researchers to identify any systematic differences in how life satisfaction is approached. Because of the open-endedness of the SWLS, which allows participants to create their own criteria for evaluation, there may be systematic differences between different cultures in the significance of those criteria.
Psychometrics heavily relies on quantitative operationalization of latent constructs (Barrett, 2003). The SWLS creates a number that corresponds to an apparent level of life satisfaction, which is comparable to other samples and means (Pavot et al., 1991). This process assumes that this is ordinal data, which can always be treated as numerals. Psychometrics assumes this issue is insignificant due to the practicalities and implications these measures have in real world applications (Barrett, 2003).
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