Validity of Scales
Validity of Scales
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量表的效度
DOI:
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发表时间:
2011
期刊:
影响因子:
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通讯作者:
E. Svensson
中科院分区:
文献类型:
--
作者:
E. Svensson
e concepts of quality of measurements made by rating scales and multi-scale questionnaires are validity and reliability. Corresponding concepts for quantitative data (interval and ratio data) are accuracy and precision. A rating scale is valid if it measures what it is intended to measure in the specic study. e validity of self-estimated subjective phenomena is relative and cannot be assessed absolutely. e validity of a scale is study specic, andmust be considered each time the scale or the 7questionnaire is chosen for a new study. erefore there are various concepts of validity, each addressing a specic type of quality assessment. emain concepts are criterion, construct, and content validity, but a large number of sub concepts are used. e meaning of these concepts is not univocal and depends on applications and research paradigms.Criterion validity refers to the conformity of a scale to a true state or a gold standard, and depending on the purpose of the study sub concepts like clinical, predictive and concurrent validity will be used. Construct validity refers to the consistency between scales having the same theoretical denition in the absence of a true state or a gold standard. Sub concepts like convergent, descriptive, discriminant, divergent, factorial, translation validity and parallel reliability have been used in studies. Biologic validity refers to the closeness of scale assessments to the hypothesized expectation when comparing with other measures in a specic population. Discriminative rating scales are used to distinguish between individuals or groups, when no external criterion is available, then discriminant validity is to be assessed. Parallel reliability refers to the interchangeability of scales. e concept content validity refers to the completeness of the scale or multi-scale questionnaire in the coverage of important areas. Sub concepts like face, ecological, decision, consensual, sampling validity, comprehensiveness and feasibility have been used. Assessments on rating scales generate ordinal data having rank-invariant properties only, which means that the responses indicate a rank order and not a mathematical value. e results of statistical treatments of data must not being changed when relabeling the ordered responses. Appropriate statistical methods for evaluation of criterion and construct validity oen refer to the order consistency or to the relationship between the scales of comparison. e scatter plot of paired assessments of perceived back pain on a visual analogue scale (VAS) and on a verbal descriptive scale (VDS-) having ve ordered categorical responses is shown the Fig. . As evident from the plot there is a large overlapping between the assessments. e probability of discordance in paired observations (X,Y),