Test Equating, Scaling, and Linking : Methods and Practices / / by Michael J. Kolen, Robert L. Brennan |
Autore | Kolen Michael J |
Edizione | [3rd ed. 2014.] |
Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 2014 |
Descrizione fisica | 1 online resource (582 p.) |
Disciplina |
150.15195
371.27 |
Collana | Statistics for Social and Behavioral Sciences |
Soggetto topico |
Statistics
Assessment Psychometrics Statistics for Social Sciences, Humanities, Law Assessment, Testing and Evaluation |
ISBN | 1-4939-0317-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction and Concepts -- Observed Score Equating Using the Random Groups Design -- Random Groups Smoothing in Equipercentile Equating -- Nonequivalent Groups Linear Methods -- Nonequivalent Groups Equipercentile Methods -- Item Response Theory Methods -- Standard Errors of Equating -- Practical Issues in Equating -- Score Scales -- Linking -- Appendices -- Answers to Exercises -- Computer Programs -- Index. |
Record Nr. | UNINA-9910300152503321 |
Kolen Michael J
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New York, NY : , : Springer New York : , : Imprint : Springer, , 2014 | ||
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Lo trovi qui: Univ. Federico II | ||
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Twenty Interviews With Psychometric Society Presidents : What’s on the Mind of the Psychometrician? / / by Lisa D. Wijsen |
Autore | Wijsen Lisa D |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (292 pages) |
Disciplina | 150.15195 |
Soggetto topico |
Social sciences - Statistical methods
Psychometrics Biometry Psychology Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Biostatistics Behavioral Sciences and Psychology Psicometria |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-031-34858-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- 1. Interview with James O. Ramsay -- 2. Interview with Peter M. Bentler -- 3. Interview with Lawrence J. Hubert -- 4. Interview with Jan de Leeuw -- 5. Interview with Bengt O. Muthen -- 6. Interview with Paul W. Holland -- 7. Interview with Robert Mislevy -- 8. Interview with Ivo Molenaar -- 9. Interview with Susan Embretson -- 10. Interview with Wim J. van der Linden -- 11. Interview with David M. Thissen -- 12. Interview with Bill Stout -- 13. Interview with Jacqueline J. Meulman -- 14. Interview with Willem J. Heiser -- 15. Interview with Ulf Böckenholt -- 16. Interview with Paul de Boeck -- 17. Interview with Brian Junker -- 18. Interview with Jos ten Berge -- 19. Interview with Klaas Sijtsma -- 20. Interview with Hua-Hua Chang.-Themes & Visions. |
Record Nr. | UNINA-9910765484703321 |
Wijsen Lisa D
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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Understanding statistics in psychology with SPSS / / Dennis Howitt and Duncan Cramer |
Autore | Howitt Dennis |
Edizione | [Seventh edition.] |
Pubbl/distr/stampa | Harlow, England ; ; New York, New York : , : Pearson, , [2017] |
Descrizione fisica | 1 online resource (755 pages) : color illustrations |
Disciplina | 150.15195 |
Soggetto topico | Psychometrics |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1.1 Introduction; 1.2 Research on learning statistics; 1.3 What makes learning statistics difficult?; 1.4 Positive about statistics; 1.5 What statistics doesn't do; 1.6 Easing the way; 1.7 What do I need to know to be an effective user of statistics?; 1.8 A few words about SPSS; 1.9 Quick guide to the book's procedures and statistical tests; Key points; Computer analysis: SPSS Analyze Graphs and Transform drop-down menus; Part 1 Descriptive statistics -- 2 Some basics: Variability and measurement -- Overview; 2.1 Introduction; 2.2 Variables and measurement; 2.3 Major types of measurement; Key points; Computer analysis: Some basics of data entry using SPSS; 3 Describing variables: Tables and diagrams; Overview; 3.1 Introduction; 3.2 Choosing tables and diagrams; 3.3 Errors to avoid; Key points; Computer analysis: Tables, diagrams and recoding using SPSS; 4 Describing variables numerically: Averages, variation and spread; Overview; 4.1 Introduction; 4.2 Typical scores: mean, median and mode; 4.3 Comparison of mean, median and mode -- 4.4 Spread of scores: range and interquartile range4.5 Spread of scores: variance; Key points; Computer analysis: Descriptive statistics using SPSS; 5 Shapes of distributions of scores; Overview; 5.1 Introduction; 5.2 Histograms and frequency curves; 5.3 Normal curve; 5.4 Distorted curves; 5.5 Other frequency curves; Key points; Computer analysis: Frequencies using SPSS; 6 Standard deviation and z-scores: Standard unit of measurement in statistics; Overview; 6.1 Introduction; 6.2 Theoretical background; 6.3 Measuring the number of standard deviations ; the z-score; 6.4 Use of z-scores -- 6.5 Standard normal distribution -- 6.6 Important feature of z-scores; Key points; Computer analysis: Standard deviation and z-scores using SPSS; 7 Relationships between two or more variables: Diagrams and tables; Overview; 7.1 Introduction; 7.2 Principles of diagrammatic and tabular presentation; 7.3 Type A: both variables numerical scores; 7.4 Type B: both variables nominal categories; 7.5 Type C: one variable nominal categories, the other numerical scores; Key points; Computer analysis: Cross tabulation and compound bar charts using SPSS -- 8 Correlation coefficients: Pearson's correlation and Spearman's rho -- Overview; 8.1 Introduction; 8.2 Principles of the correlation coefficient; 8.3 Some rules to check out; 8.4 Coefficient of determination; 8.5 Significance testing; 8.6 Spearman's rho -- another correlation coefficient; 8.7 Example from the literature; Key points; Computer analysis: Correlation coefficients using SPSS; Computer analysis: Scattergram using SPSS; 9 Regression: Prediction with precision; Overview; 9.1 Introduction; 9.2 Theoretical background and regression equations. |
Record Nr. | UNINA-9910164049103321 |
Howitt Dennis
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Harlow, England ; ; New York, New York : , : Pearson, , [2017] | ||
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Lo trovi qui: Univ. Federico II | ||
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