LEADER 06497nam 2200781Ia 450 001 9910823005803321 005 20200520144314.0 010 $a9780511996214$b(electronic bk.) 010 $a1107212987$b(electronic bk.) 010 $a113913986X$b(electronic bk.) 010 $a1283316552$b(electronic bk.) 010 $a9786613316554$b(electronic bk.) 010 $a1139139096$b(electronic bk.) 010 $a1139144871$b(electronic bk.) 010 $a1139140671$b(electronic bk.) 010 $a1139137549$b(electronic bk.) 010 $a0511996217$b(electronic bk.) 010 $a1139141554$b(electronic bk.) 035 $a(CKB)2550000000057874 035 $a(EBL)802925 035 $a(OCoLC)763157859 035 $a(SSID)ssj0000555107 035 $a(PQKBManifestationID)11359224 035 $a(PQKBTitleCode)TC0000555107 035 $a(PQKBWorkID)10517314 035 $a(PQKB)10730941 035 $a(UkCbUP)CR9780511996214 035 $a(MiAaPQ)EBC802925 035 $a(Au-PeEL)EBL802925 035 $a(CaPaEBR)ebr10506213 035 $a(CaONFJC)MIL331655 035 $a(PPN)26131789X 035 $a(EXLCZ)992550000000057874 100 $a20110406d2011 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aMeasurement in medicine $ea practical guide /$fHenrica C.W. de Vet ... [et al.] 205 $a1st ed. 210 $aCambridge $cCambridge University Press$d2011 215 $a1 online resource (x, 338 pages) $cdigital, PDF file(s) 225 1 $aPractical guides to biostatistics and epidemiology 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 08$aPrint version: 9780521133852 9780521118200 0521133858 0521118204 320 $aIncludes bibliographical references and index. 327 $aCover; Title; Copyright; Contents; Preface; 1 Introduction; 1.1 Why this textbook on measurement in medicine?; 1.2 Clinimetrics versus psychometrics; 1.3 Terminology and definitions; 1.4 Scope of measurements in medicine; 1.5 For whom is this book written?; 1.6 Structure of the book; 1.7 Examples, data sets, software and assignments; 2 Concepts, theories and models, and types of measurements; 2.1 Introduction; 2.2 Conceptual models; 2.3 Characteristics of measurements; From diagnosis to outcome measurements; From clinician-based to patient-based measurements 327 $aFrom objective to subjective measurementsFrom unidimensional to multidimensional characteristics; From observable to non-observable characteristics; 2.4 Conceptual framework: reflective and formative models; 2.5 Measurement theories; 2.5.1 Classical test theory; 2.5.2 Item response theory; 2.6 Summary; Assignments; 1. Outcome measures in a randomized clinical trial; 2. What is the construct?; 3. Item response theory; 3 Development of a measurement instrument; 3.1 Introduction; 3.2 Definition and elaboration of the construct to be measured; 3.2.1 Construct; 3.2.2 Target population 327 $a3.2.3 Purpose of measurement3.3 Choice of measurement method; 3.4 Selecting items; 3.4.1 Getting input for the items of a questionnaire: literature and experts; 3.4.1.1 Literature; 3.4.1.2 Experts; 3.4.1.3 An example of item selection for a patient-reported outcomes instrument; 3.4.1.4 An example of item selection for a non-patient-reported outcomes instrument; Summing up with or without using weights; 3.4.2 Formulating items: first draft; 3.4.3 Things to keep in mind; 3.5 Scores for items; 3.5.1 Scoring options; 3.5.2 Which option to choose?; 3.6 Scores for scales and indexes 327 $a3.6.1 Summarizing scores in reflective modelsSumming up with or without using weights; 3.6.2 Summarizing scores in formative models; 3.6.3 Weighted scores; 3.6.3.1 How and by who are weights assigned; Judgemental weights; Empirical weights; 3.6.3.2 Preference weighting or utility analysis; 3.6.3.3 Alternative methods; 3.7 Pilot-testing; 3.7.1 Pilot-testing of patient-reported outcomes instruments; 3.7.2 Pilot-testing of non-patient-reported outcomes instruments; 3.8 Summary; Assignments; 1. Definition of a construct; 2. Choice between objective and subjective measurements 327 $a3. Choice between a reflective and a formative model4. Cross-cultural adaptation of an item; 5. Use of sum-scores; 4 Field-testing: item reduction and data structure; 4.1 Introduction; 4.2 Examining the item scores; 4.2.1 Missing scores; 4.2.2 Distribution of item scores; 4.3 Importance of the items; 4.4 Examining the dimensionality of the data: factor analysis; 4.4.1 Principles of exploratory factor analysis; 4.4.2 Determining the number of factors; 4.4.2.1 Step 1: correlation of items; 4.4.2.2 Step 2: the number of factors to be extracted; 4.4.3 Rotation and interpreting the factors 327 $a4.4.3.1 Step 3: rotation 330 $aThe success of the Apgar score demonstrates the astounding power of an appropriate clinical instrument. This down-to-earth book provides practical advice, underpinned by theoretical principles, on developing and evaluating measurement instruments in all fields of medicine. It equips you to choose the most appropriate instrument for specific purposes. The book covers measurement theories, methods and criteria for evaluating and selecting instruments. It provides methods to assess measurement properties, such as reliability, validity and responsiveness, and interpret the results. Worked examples and end-of-chapter assignments use real data and well-known instruments to build your skills at implementation and interpretation through hands-on analysis of real-life cases. All data and solutions are available online. This is a perfect course book for students and a perfect companion for professionals/researchers in the medical and health sciences who care about the quality and meaning of the measurements they perform. 410 0$aPractical guides to biostatistics and epidemiology. 606 $aMedical care$xEvaluation$xMethodology 606 $aClinical medicine$xStatistical methods 615 0$aMedical care$xEvaluation$xMethodology. 615 0$aClinical medicine$xStatistical methods. 676 $a610.72/4 701 $aVet$b Henrica C. W. de$01679465 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910823005803321 996 $aMeasurement in medicine$94047716 997 $aUNINA