{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":2,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":47,"n_cols":5,"rows_kept":47,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[2,4,2,5],[3,2,3,3],[5,2,5,3],[6,2,6,3],[7,2,7,3],[8,2,8,3],[9,2,9,3],[10,2,10,3],[11,2,11,3],[12,2,12,3],[16,2,16,3],[19,2,19,3],[19,4,19,5],[20,2,20,3],[20,4,20,5],[21,2,21,3],[21,4,21,5],[22,2,22,3],[23,2,23,3],[32,2,32,3],[33,2,33,3],[34,2,34,3],[35,2,35,3],[36,2,36,3],[39,2,39,3],[40,2,40,3],[44,2,44,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNINA9910153068203321"]
[null,null,"Autore",null,"Nitko Anthony J."]
[null,null,"Titolo",null,"Educational assessment of students / / Anthony J. Nitko, Susan M. Brookhart"]
[null,null,"Pubbl/distr/stampa",null,"Harlow, England : , : Pearson, , [2014]"]
[{"$nulls":4},"Â©2014"]
[null,null,"ISBN",null,"1-292-05464-6"]
[null,null,"Edizione",null,"[Sixth edition, Pearson new international edition.]"]
[null,null,"Descrizione fisica",null,"1 online resource (487 pages) : illustrations"]
[null,null,"Collana",null,"Always learning"]
[null,null,"Disciplina",null,"371.26"]
[null,null,"Soggetti",null,"Educational tests and measurements"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Cover -- Table of Contents -- Glossary -- 1. Classroom Decision Making and Using Assessment -- 2. Describing the Goals and Learning Targets of Instruction -- 3. Planning for Integrating Assessment and Instruction -- 4. Diagnostic and Formative Assessments -- 5. Completion, Short-Answer, and True-False Items -- 6. Multiple-Choice and Matching Exercises -- 7. Essay Assessment Tasks -- 8. Higher-Order Thinking, Problem Solving, and Critical Thinking -- 9. Performance and Portfolio Assessments -- 10. Preparing Your Students to Be Assessed and Using Students' Results to Improve Your Assessments -- 11. Evaluating and Grading Student Progress -- 12. Standardized Achievement Tests -- 13. Interpreting Norm-Referenced Scores -- 14. Finding and Evaluating Published Assessments -- 15. Scholastic Aptitude, Career Interests, Attitudes, and Personality Tests -- Appendix: Educational Assessment Knowledge and Skills for Teachers -- Appendix: Code of Fair Testing Practices in Education (Revised) -- Appendix: Code of Professional Responsibilities in Educational Measurement -- Appendix: Summaries of Taxonomies of Educational Objectives: Cognitive, Affective, and Psychomotor Domains -- Appendix: Implementing the Principles of Universal Design via Technology-Based Testing -- Appendix: Assessment of Metacognition -- Appendix: Examples of Alternative Blueprints for a Summative Unit Assessment -- Appendix: Scoring Guide for Oregon's Writing Assessment -- Appendix: Basic Statistical Concepts -- Appendix: Computational Procedures for Various Reliability Coefficients -- Appendix: A Limited List of Published Tests -- Appendix: List of Test Publishers and Their Websites -- Appendix: Answers to Even-"]
[{"$nulls":4},"Numbered Exercises -- References -- Index."]
[null,null,null,"Sommario/riassunto","For a wide variety of courses in classroom assessment. This highly respected text offers the most comprehensive discussion of traditional and alternative assessments of any classroom assessment text-explaining, giving examples, discussing pros and cons, and showing how to construct virtually all of the traditional and alternative assessments teachers use in the classroom. The author explores assessment theories and research findings as they affect teaching and learning, and examines why, when, and how teachers should use assessment in the classroom. To the text's hundreds of practical examples are added checklists to aid in evaluating assessment vehicles and scores of strategies for assessing higher-order thinking, critical-thinking, and problem-solving skills."]
[null,"2.","Record Nr.",null,"UNINA9910829022603321"]
[null,null,"Autore",null,"Haug Anton J. <1941->"]
[null,null,"Titolo",null,"Bayesian estimation and tracking : a practical guide / / Anton J. Haug"]
[null,null,"Pubbl/distr/stampa",null,"Hoboken, N.J., : Wiley, 2012"]
[null,null,"ISBN",null,"9786613664174"]
[{"$nulls":4},"9781280687235"]
[{"$nulls":4},"1280687231"]
[{"$nulls":4},"9781118287804"]
[{"$nulls":4},"1118287800"]
[{"$nulls":4},"9781118287835"]
[{"$nulls":4},"1118287835"]
[{"$nulls":4},"9781118287798"]
[{"$nulls":4},"1118287797"]
[null,null,"Edizione",null,"[1st edition]"]
[null,null,"Descrizione fisica",null,"1 online resource (397 p.)"]
[null,null,"Classificazione",null,"MAT029010"]
[null,null,"Disciplina",null,"519.5/42"]
[null,null,"Soggetti",null,"Bayesian statistical decision theory"]
[{"$nulls":4},"Automatic tracking - Mathematics"]
[{"$nulls":4},"Estimation theory"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"pt. 1. Preliminaries -- pt. 2. The Gaussian assumption : a family of Kalman filter estimators -- pt. 3. Monte Carlo methods -- pt. 4. Additional case studies."]
[null,null,null,"Sommario/riassunto","\"This book presents a practical approach to estimation methods that are designed to provide a clear path to programming all algorithms. Readers are provided with a firm understanding of Bayesian estimation methods and their interrelatedness. Starting with fundamental principles of Bayesian theory, the book shows how each tracking filter is derived from a slight modification to a previous filter. Such a development gives readers a broader understanding of the hierarchy of Bayesian estimation and tracking. Following the discussions about each tracking filter, the filter is put into block diagram form for ease in future recall and reference. The book presents a completely unified approach to Bayesian estimation and tracking, and this is accomplished by showing that the current posterior density for a state vector can be linked to its previous posterior density through the use of Bayes' Law "]
[{"$nulls":4},"and the Chapman-Kolmogorov integral. Predictive point estimates are then shown to be density-weighted integrals of nonlinear functions. The book also presents a methodology that makes implementation of the estimation methods simple (or, rather, simpler than they have been in the past). Each algorithm is accompanied by a block diagram that illustrates how all parts of the tracking filter are linked in a never-ending chain, from initialization to the loss of track. These filter block diagrams provide a ready picture for implementing the algorithms into programmable code. In addition, four completely worked out case studies give readers examples of implementation, from simulation models that generate noisy observations to worked-out applications for all tracking algorithms. This book also presents the development and application of track performance metrics, including how to generate error ellipses when implementing in real-world applications, how to calculate RMS errors in simulation environments, and how to calculate Cramer-Rao lower bounds for the RMS errors. These are also illustrated in the case study presentations\"--"]