Using Test Data for Student Achievement

Using Self-Assessment to Improve Student Learning synthesizes research on self-assessment and translates it into actionable guidelines and principles for pre-service and in-service teachers and for&nb

Using Self-Assessment to Improve Student Learning synthesizes research on self-assessment and translates it into actionable guidelines and principles for pre-service and in-service teachers and for&nb

This comprehensive guide to Bayesian methods in astronomy enables hands-on work by supplying complete R, JAGS, Python, and Stan code, to use directly or to adapt. It begins by examining the normal model from both frequentist and Bayesian perspectives and then progresses to a full range of Bayesian generalized linear and mixed or hierarchical models, as well as additional types of models such as ABC and INLA. The book provides code that is largely unavailable elsewhere and includes details on interpreting and evaluating Bayesian models. Initial discussions offer models in synthetic form so that readers can easily adapt them to their own data; later the models are applied to real astronomical data. The consistent focus is on hands-on modeling, analysis of data, and interpretations that address scientific questions. A must-have for astronomers, its concrete approach will also be attractive to researchers in the sciences more generally.

For readers who may not be statisticians or data analysts, Sarmento and Costa explain how to analyze data using the Python and R languages. They have particularly in mind, students and researchers

You have a mound of data sitting in front of you and a suite of computation tools at your disposal. And yet, you’re stumped as to how to turn that data into insight. Which part of that data actually m

Biclustering is a data-mining technique that allows simultaneous clustering of rows and columns within a matrix. This book focuses on biclustering as an unsupervised learning method for high-dimension

This is the second edition of the popular book on using R for statistical analysis and graphics. The authors, who run a popular blog supplementing their books, have focused on adding many new examples

Praise for the First Edition" . . . an excellent addition to an upper-level undergraduate course on environmental statistics, and . . . a 'must-have' desk reference for environmental practitioners dea

A compilation of research methods and reflecting the expertise of the major contributors to NDS psychology, this book examines the techniques that have proven to be most useful in the behavioral scien

This book has been written in the hopes of equipping teachers-in-training—that is, teacher candidates—with the skills needed for action research: a process that leads to focused, effective, and respon

"Great teachers constantly learn about their students and study the effects of their teaching. This excellent collection shows them how."---Linda Darling-Hammond, Charles E. Ducommun Professor of Edu

This introductory collection brings together contributions from a range of international researchers, each working within their own traditions, to explore current perspectives on the use of analytical

This introductory collection brings together contributions from a range of international researchers, each working within their own traditions, to explore current perspectives on the use of analytical

This guide for educators on the use of questionnaire data for continuous school improvement provides step-by-step instructions for developing effective surveys, collecting responses, analyzing the dat

School leaders will discover how to implement collaborative inquiry, use data systematically and effectively, and establish an equitable school climate to improve outcomes for all students.

"This is an ideal introductory book for budding researchers who are embarking on the development and then analysis of data, and in this case, more specifically questionnaires using partly or exclusive

An Intermediate Guide to SPSS Programming: Using Syntax for Data Management introduces the major tasks of data management and presents solutions using SPSS syntax. This book fills an important gap in

Make any recipe vegan or vegetarian to suit your preferencePlant-based cooking means different things to different people. We all come to plant-based eating with different goals in mind. ATK’s diverse, modern guide offers foolproof recipes for every occasion that you can tailor to suit your own needs, choosing whether to make any dish vegan or vegetarian. From building a plant-centric plate to cooking with plant-based meat and dairy, you’ll find everything you need here to create varied, satisfying meals.The 500-plus recipes are vegan but flexible. You can choose whether to make the Rancheros with Avocado with tofu or eggs, the Farro Salad with Cucumber, Yogurt, and Mint with plant-based or dairy yogurt, the Vegetable Fried Rice with Broccoli and Shiitake Mushrooms with or without eggs, and the No-Bake Cherry-Almond Crisp using coconut oil or butter.ATK’s plant-based eating strategy is easy, budget-friendly, and inclusive—cuisines around the world are rich with boldly flavored, natural

Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how

Spark for Data Professionals introduces and solidifies the concepts behind Spark 2.x, teaching working developers, architects, and data professionals exactly how to build practical Spark solutions. Je

This is the first Visual Basic.NET book to provide a comprehensive discussion of the major data structures and algorithms. Here, instead of having to translate material on C++ or Java, the professional or student VB.NET programmer will find a tutorial on how to use data structures and algorithms and a reference for implementation using VB.NET for data structures and algorithms from the .NET Framework Class Library as well as those which must be developed by the programmer. In an object-oriented fashion, the author presents arrays and arraylists, linked lists, hash tables, dictionaries, trees, graphs, sorting and searching as well as more advanced algorithms, such as probabilistic algorithms and dynamic programming. His approach is very practical, for example using timing tests rather than Big O analysis to compare the performance of data structures and algorithms. This book can be used in both beginning and advanced computer programming courses that use the VB.NET language and, most im

For decades experiments conducted on space stations like MIR and the ISS have been gathering data in many fields of research in the natural sciences, medicine and engineering. The EU-sponsored Ulisse

Find guidance on using SAS for multiple imputation and solving common missing data issues.Multiple Imputation of Missing Data Using SAS provides both theoretical background and constructive solutions

This book is primarily written for students and researchers dealing with complex ecological problems. Multivariate statistical methods are described, and advice is given on how best to apply these met

NOTE: Before purchasing, check with your instructor to ensure you select the correct ISBN. Several versions of Pearson's MyLab™ products exist for each title, and registrations are not transferable. T

This timely, thoughtful book provides a clear introduction to using panel data in research. It describes the different types of panel datasets commonly used for empirical analysis, and how to use them