1.

Record Nr.

UNINA9910480313303321

Autore

Pete Brian M.

Titolo

Data! Dialogue! Decisions! : the data difference / / Brian Pete and Catherine M. Sambo

Pubbl/distr/stampa

Thousand Oaks, California : , : Corwin, , 2004

©2004

ISBN

1-4833-6104-7

1-4833-6321-X

Descrizione fisica

1 online resource (121 p.)

Collana

In A Nutshell

Disciplina

371.2

Soggetti

School improvement programs

Academic achievement - Decision making

School management and organization - Decision making

Educational statistics

Electronic books.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

""Cover""; ""Contents""; ""Preface""; ""Introduction""; ""What�s it all about?""; ""What�s the History of Results-Driven Change?""; ""How to Use This Book""; ""Chapter 1 - The Data! Dialogue! Decisions! Process""; ""Schmoker�s Model of Results-Driven Change ""; ""Introduction to the Data! Dialogue! Decisions! Process""; ""Chapter 2 - Data!""; ""A Sign of the Times""; ""What Kinds of Data Exist? ""; ""What Kinds of Data are Available?""; ""How are Data Collected?""; ""How are Data Used?""; ""Chapter 3 - Dialogue!""; ""Teaming to Ask and Answer the Questions""

""The Four Questions in Brief""""The Four Questions in Full""; ""Action Plan""; ""Conclusion""; ""The Coaches� Meeting Revisited""; ""Chapter 4 - Decisions!""; ""SMART Goals""; ""Instructional Decisions""; ""Data! Issues ""; ""Chapter 5 - Troubleshooting""; ""Dialogue! Issues ""; ""Decisions! Issues ""; ""General Issues ""; ""Professional Development Issues""; ""Appendix A: Data! Dialogue! Decisions! General Format""; ""Appendix B: State Standards in Reading Example ""; ""Appendix C: A Tale of Two City Schools: Making the Difference with Data""; ""Appendix D: People Search""



""Bibliography""

Sommario/riassunto

Link relevant data to results instantly and consistently!  This powerful text offers school leaders a process for data-based decision making that includes the critical elements of school improvement: collaborative teams, meaningful data, and measurable results. Administrators and instructors select the data, dialogue about the findings, and then make informed decisions about improving student performance. Educators will learn to: Select data that is easily accessible, collectible on an ongoing basis, and capable of impacting student achievementUse the three-step cyclical model of data analysi

2.

Record Nr.

UNINA9910137547603321

Autore

Weller Joel Ira

Titolo

Genomic selection in animals / / Joel Ira Weller

Pubbl/distr/stampa

Hoboken, New Jersey : , : Wiley-Blackwell, , 2016

©2016

ISBN

1-119-21363-0

1-119-21361-4

Descrizione fisica

1 online resource (192 p.)

Disciplina

636.0821

Soggetti

Domestic animals - Genetics

Breeding

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Historical overview -- Types of current genetic markers and genotyping methodologies -- Advanced animal breeding programs prior to genomic selection -- Economic evaluation of genetic breeding programs -- Least squares, maximum likelihood and Bayesian parameter estimation -- Trait-based genetic evaluation, the mixed model -- Maximum likelihood and Bayesian estimation of QTL parameters with random effects included in the model -- Maximum likelihood, restricted maximum likelihoodand Bayesian estimation for mixed models -- Distribution of genetic effects, theory and results --



The multiple comparison problem -- Linkage mapping of QTL -- Linkage disequilibrium mapping of QTL -- Marker assisted selection, basic strategies -- Genetic evaluation based on dense marker maps, basic strategies -- Genetic evaluation based on analysis of genetic evaluations or daughter-yield evaluations -- Genomic evaluation based on analysis of production records -- Validation of methods for genomic estimated breeding values -- Byproducts of Genomic evaluation analysis: pedigree validation and determination -- Imputation of missing genotypes : methodologies, accuracies, and effects on genomic evaluations -- Detection and validation of quantitative trait nucleotides (QTN) -- Future directions and conclusions.