By Per Bech
Content:
Chapter 1 Classical psychometrics (pages 3–26):
Chapter 2 smooth psychiatry: DSM?IV/ICD?10 (pages 27–31):
Chapter three sleek, dimensional psychometrics (pages 32–42):
Chapter four sleek psychometrics: merchandise different types and enough records (pages 43–52):
Chapter five The medical end result of IRT analyses: The pharmacopsychometric triangle (pages 53–73):
Chapter 6 The medical end result of IRT analyses: Health?related caliber of lifestyles (pages 74–81):
Chapter 7 The medical results of IRT analyses: the concept that of tension (pages 82–88):
Chapter eight Questionnaires as ‘blood checks’ (pages 89–94):
Chapter nine precis and views (pages 95–102):
Chapter 10 Epilogue: who is wearing Einstein's baton? (pages 103–108):
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Extra info for Clinical Psychometrics
Example text
In 1935, Rasch received a Rockefeller scholarship for 12 months studies at Fisher’s London institute, as he was now moving on to statistics. Fisher’s concept of sufficiency served as inspiration for the psychometric model developed by Rasch in the 1950s, which was to become the basis of modern psychometrics (62). The central element in modern psychometrics is whether there is a latent additive function when the symptoms in a rating scale are used. If this is the case, the total score is then a sufficient statistic for the present symptom profile.
10 shows the BPRS with its 18 symptoms covering depression and schizophrenia. 11 shows that with the addition of two items, mania can also be assessed. Thus, a mere six BPRS symptoms make it possible to measure the three major fields in clinical psychiatry; namely schizophrenia, mania and depression. Factor analytic studies with BPRS brought into sharper focus the American tradition versus the British. Using the British tradition learnt during his studies in London, Pichot demonstrated the need to focus on the two most important factors, and showed that it is the depression factor rather than the psychotic factor that is important.
This was subsequently confirmed by a French study using the HAM-A (41). A major international trial with DSM-III panic attack patients confirmed this HAM-A14 two-factor model (42). , all the symptoms in the scale concur in measuring one dimension), providing enough evidence to use the total score as a sufficient statistic. But Hamilton became less confident about this conclusion when his anxiety scale was not able to distinguish between placebo and an antianxiety drug (43). , that some items have negative factor loadings and others have positive factor loadings, is perhaps the most interesting element in the factor analysis method.
