A Course in Rasch Measurement Theory : Measuring in the Educational, Social and Health Sciences / / by David Andrich, Ida Marais |
Autore | Andrich David |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (748 pages) |
Disciplina | 150.15195 |
Collana | Springer Texts in Education |
Soggetto topico |
Education - Research
Sociology - Methodology Social sciences - Statistical methods Educational tests and measurements Psychometrics Research - Methodology Research Methods in Education Sociological Methods Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Assessment and Testing Research Skills |
ISBN | 981-13-7496-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | PART A: General principles and the dichotomous Rasch model -- Chapter 1: The idea of measurement -- Chapter 2: Constructing instruments to achieve measurement -- Chapter 3: Classical test theory (CTT) -- Chapter 4: Reliability and validity in CTT -- Chapter 5: The Guttman structure and analysis of responses -- Chapter 6: The dichotomous Rasch model - The simplest modern test theory model -- Chapter 7: Invariance of comparisons - Separation of person and item parameters -- Chapter 8: Sufficiency - The significance of total scores -- Chapter 9: Estimating item difficulty -- Chapter 10: Estimating person proficiency and person separation -- Chapter 11: Equating - Linking instruments through common items -- Chapter 12: Comparisons and contrasts between CTT and Rasch measurement theory (RMT) -- PART B: The dichotomous Rasch model: Fit of responses to the model -- Chapter 13: Fit of responses to the model I - Item characteristic curve and Chi-square tests of fit -- Chapter 14: Violations of the assumption of independence I - Multidimensionality and response dependence -- Chapter 15: Fit of responses to the model II - Analysis of residuals and general principles -- Chapter 16: Fit of responses to the model III - Differential item functioning -- Chapter 17: Fit of responses to the model IV - Guessing -- Chapter 18: Other models of modern test theory for dichotomous responses -- Chapter 19: Comparisons and contrasts between item response theory (IRT) and RMT -- PART C: Extending the dichotomous Rasch model: The polytomous Rasch model -- Chapter 20: The polytomous Rasch model I -- Chapter 21: The polytomous Rasch model II -- Chapter 21: The polytomous Rasch model II -- Chapter 21: The polytomous Rasch model II -- Chapter 24: Violations of the assumption of independence II – The polytomous Rasch model -- Part D: Theoretical justifications and further elaborations -- Chapter 25: Derivation of CTT equations and coefficient α -- Chapter 26: Analysis of more than two facets and repeated measures -- Chapter 27: Derivation of the threshold form of the polytomous Rasch model -- Chapter 28: Non-Rasch measurement models for ordered response categories -- Chapter 29: Review of principles of test analysis using Rasch measurement theory -- Part E: RUMM2030 Exercises -- Exercise 1: Interpretation of RUMM2030 printout -- Exercise 2: Basic analysis of dichotomous and polytomous responses -- Exercise 3: Advanced analysis of dichotomous responses -- Exercise 4: Advanced analysis of polytomous responses -- Exercise 5: Analysis of data with differential item functioning -- Exercise 6: Analysis of data with dependence -- Exercise 7: Analysis of more than two facets and repeated measurements -- Exercise 8: Writing up a Rasch model analysis -- Part F: Statistics Reviews -- Statistics Review 1: Sigma notation, mean, and variance -- Statistics Review 2: Normal distribution -- Statistics Review 3: Covariance and the variance of the sum of two variables -- Statistics Review 4: Regression and correlation -- Statistics Review 5: Probability -- Statistics Review 6: Indices -- Statistics Review 7: Logarithms -- Statistics Review 8: Conditional probability -- Statistics Review 9: Independence -- Statistics Review 10: Bernoulli and Binomial variables -- Statistics Review 11: The Chi-square distribution and test -- Statistics Review 12: Analysis of variance (ANOVA) -- Statistics Review 13: Distribution theory -- Statistics Review 14: Basic distributions for tests of fit -- Statistics Review 15: Odds and ratios. |
Record Nr. | UNINA-9910350289803321 |
Andrich David | ||
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Rasch Meta-Metres of Growth for Some Intelligence and Attainment Tests / / by David Andrich, Ida Marais, Sonia Sappl |
Autore | Andrich David |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (254 pages) |
Disciplina | 371.26 |
Altri autori (Persone) |
MaraisIda
SapplSonia |
Soggetto topico |
Educational tests and measurements
Learning, Psychology of Educational psychology Mathematics - Study and teaching Assessment and Testing Instructional Theory Educational Psychology Mathematics Education Ensenyament de la matemàtica Tests d'intel·ligència |
Soggetto genere / forma | Llibres electrònics |
ISBN | 981-9946-93-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Measurement and the study of growth -- Probabilistic fundamental measurement and invariance -- The formulation of a meta-metre in which growth is linear -- Estimates of the rate of growth and initial status -- Application of the modified meta-metre to physical growth -- Growth on the Stanford-Binet test of general intelligence,- Growth in reading and mathematics achievement: ECLS-K study -- Growth in reading and mathematics achievement: NLSY study -- Further examples of growth in reading and mathematics achievement -- Decelerating growth and the setting of an early trajectory -- Summary and discussion. |
Record Nr. | UNINA-9910746088203321 |
Andrich David | ||
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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