2003
DOI: 10.4135/9781412984409
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How to Assess and Interpret Survey Psychometrics

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Cited by 94 publications
(92 citation statements)
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“…This composition allowed for the verification that, although the results had confirmed the pertinence of some factors in the initial version of the instrument, others lost their characteristics or were reallocated, different from those elaborated previously, and a new factor (Disease) was created. This was expected, because, according to specialists (13)(14)(15) , this is one of the results of the factor analysis.…”
Section: Resultsmentioning
confidence: 63%
See 1 more Smart Citation
“…This composition allowed for the verification that, although the results had confirmed the pertinence of some factors in the initial version of the instrument, others lost their characteristics or were reallocated, different from those elaborated previously, and a new factor (Disease) was created. This was expected, because, according to specialists (13)(14)(15) , this is one of the results of the factor analysis.…”
Section: Resultsmentioning
confidence: 63%
“…Considering that the process of instrument validation should involve several inter-related studies, aiming at empirical verification, through statistical tests, of the relation between the variables to be measured (15) , the reliability index of the instrument was tested at two different times. One involved the whole scale (96 items), without divisions, and the other with each factor presented individually.…”
Section: Discussionmentioning
confidence: 99%
“…For a predictive measure it is the intra-class correlation coefficient that is appropriate [9]. The intraclass correlation coefficient of 0.95 in antenatal women and 0.96 in postnatal women is considered highly reliable [10].…”
Section: Discussionmentioning
confidence: 99%
“…This approach can be described as an assessment of criterion-related validity (Litwin, 2003), and we adopted this method because it avoids the uncertainties, as described above, of assessing validity via comparisons between multiple metrics.…”
Section: Examining the Efficacy Of Risk Model Judgements In Synergy Smentioning
confidence: 99%