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Best measurement error and research design
1. Measurement Error and Research Design
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Used Book in Good ConditionDescription
Most books on measurement present a statistical orientation or an orientation toward measurement theory. Although these approaches are valuable, Measurement Error and Research Design is motivated by the lack of literature that enhances understanding of measurement error, its sources, and its effects on responses. This books purpose is to enhance the design of research, both of measures and of methods. An author maintained website, http://www.business.uiuc.edu/~madhuv/msmt.html features datasets and suggestions for using the book in courses.2. Assessing Reading Multiple Measures, 2nd Edition
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Spiral boundDescription
For educators who are working to improve the reading achievement of both beginning and older struggling readers, this updated and revised edition of the popular Assessing Reading: Multiple Measures is an indispensable resource. It is an essential addition to any educator's professional literacy library - elementary, secondary, university. New to this edition: MASI-R Oral Reading Fluency Measures, CORE Reading Maze Comprehension Test, CORE Graded High-Frequency Word Survey and CORE Vocabulary Screening.3. Research Design Explained
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Used Book in Good ConditionDescription
RESEARCH DESIGN EXPLAINED, Eighth Edition helps readers appreciate the excitement of science research and its relevance to psychology by explaining concepts clearly and using real-life analogies and examples. Focusing on important, fundamental concepts and demonstrating the logic behind research design, authors Mitchell and Jolley help readers go beyond simply memorizing terms to develop a true understanding of research design.4. Multilevel Analysis: An Introduction To Basic And Advanced Multilevel Modeling
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SAGE Publications LtdDescription
The Second Edition of this classic text introduces the main methods, techniques, and issues involved in carrying out multilevel modeling and analysis. Snijders and Boskers? book is an applied, authoritative, and accessible introduction to the topic, providing readers with a clear conceptual and practical understanding of all the main issues involved in designing multilevel studies and conducting multilevel analysis. This book has been comprehensively revised and updated since the last edition, and now includes guides to modeling using Hlm, MlwiN, Sas, Stata including Gllamm, R, Spss, Mplus, WinBugs, Latent Gold, and Mix.5. Experimental Design & Analysis for Psychology
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Careful data collection and analysis lies at the heart of good research, through which our understanding of psychology is enhanced. Yet the students who will become the next generation of researchers need more exposure to statistics and experimental design than a typical introductory course presents.Experimental Design and Analysis for Psychology provides a complete course in data collection and analysis for students who need to go beyond the basics.
Acting as a true course companion, the text's engaging writing style leads readers through a range of often challenging topics, blending examples and exercises with careful explanations and custom-drawn figures to ensure even the most daunting concepts can be fully understood.
Opening with a review of key concepts, including probability, correlation, and regression, the book goes on to explore the analysis of variance and factorial designs, before moving on to consider a range of more specialised, but yet powerful, statistical tools, including the General Linear Model, and the concept of unbalanced designs.
Not just a printed book, Experimental Design and Analysis for Psychology is enhanced by a range of online materials, all of which add to its value as an ideal teaching and learning resource.
The Online Resource Centre features:
For registered adopters:
Figures from the book, available to download.
Answers to exercises featured in the book.
Online-only Part III: bonus chapters featuring more advanced material, to extend the coverage of the printed book.
For students:
A downloadable workbook, featuring exercises for self-study.
SAS, SPSS and R companions, featuring program code and output for all major examples in the book tailored to these three software packages.
6. Testing and Measurement: A User-Friendly Guide
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Used Book in Good ConditionDescription
Written with Bandura's social learning theory in mind, Testing and Measurement: A User-Friendly Guide allows students to master testing and measurement through a three-stage learning process - presentation of information, modeling, and practice wit7. Test Equating, Scaling, and Linking: Methods and Practices (Statistics for Social and Behavioral Sciences)
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This book provides an introduction to test equating, scaling and linking, including those concepts and practical issues that are critical for developers and all other testing professionals. In addition to statistical procedures, successful equating, scaling and linking involves many aspects of testing, including procedures to develop tests, to administer and score tests and to interpret scores earned on tests. Test equating methods are used with many standardized tests in education and psychology to ensure that scores from multiple test forms can be used interchangeably. Test scaling is the process of developing score scales that are used when scores on standardized tests are reported. In test linking, scores from two or more tests are related to one another. Linking has received much recent attention, due largely to investigations of linking similarly named tests from different test publishers or tests constructed for different purposes. In recent years, researchers from the education, psychology and statistics communities have contributed to the rapidly growing statistical and psychometric methodologies used in test equating, scaling and linking. In addition to the literature covered in previous editions, this new edition presents coverage of significant recent research.
In order to assist researchers, advanced graduate students and testing professionals, examples are used frequently and conceptual issues are stressed. New material includes model determination in log-linear smoothing, in-depth presentation of chained linear and equipercentile equating, equating criteria, test scoring and a new section on scores for mixed-format tests. In the third edition, each chapter contains a reference list, rather than having a single reference list at the end of the volume
The themes of the third edition include:
* the purposes of equating, scaling and linking and their practical context
* data collection designs
* statistical methodology
* designing reasonable and useful equating, scaling, and linking studies
* importance of test development and quality control processes to equating
* equating error, and the underlying statistical assumptions for equating
8. Usability Testing for Survey Research
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Usability Testing for Survey Research provides researchers with a guide to the tools necessary to evaluate, test, and modify surveys in an iterative method during the survey pretesting process. It includes examples that apply usability to any type of survey during any stage of development, along with tactics on how to tailor usability testing to meet budget and scheduling constraints.
The book's authors distill their experience to provide tips on how usability testing can be applied to paper surveys, mixed-mode surveys, interviewer-administered tools, and additional products.
Readers will gain an understanding of usability and usability testing and why it is needed for survey research, along with guidance on how to design and conduct usability tests, analyze and report findings, ideas for how to tailor usability testing to meet budget and schedule constraints, and new knowledge on how to apply usability testing to other survey-related products, such as project websites and interviewer administered tools.
- Explains how to design and conduct usability tests and analyze and report the findings
- Includes examples on how to conduct usability testing on any type of survey, from a simple three-question survey on a mobile device, to a complex, multi-page establishment survey
- Presents real-world examples from leading usability and survey professionals, including a diverse collection of case studies and considerations for using and combining other methods
- Discusses the facilities, materials, and software needed for usability testing, including in-lab testing, remote testing, and eye tracking
9. Smart Process Plants: Software and Hardware Solutions for Accurate Data and Profitable Operations: Data Reconciliation, Gross Error Detection, and Instrumentation Upgrade
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Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.
A Detailed Guide to the New Generation of Smart Process Plants
Maximize plant profitability by minimizing operating costs. Smart Process Plants addresses measurements and the data they generate, error-free process variable estimation, control, fault detection, instrumentation upgrade, and maintenance optimization, and then connects these activities to plant economics. Methods for calculating the value of the information produced are included. The book discusses optimal instrumentation type, quality, precision, and location along with preventive maintenance techniques. Practical examples throughout the book demonstrate how to perform essential calculations.
Smart Process Plants covers:
- Measurement instrument performance and measurement errors
- Variable classification and canonical representation
- Linear, nonlinear, and dynamic data reconciliation
- Gross error detection, equivalency, size elimination, and estimation
- Accuracy of estimators
- Value of accuracy, control strategies, parametric fault identification, and instrumentation upgrade
- Maintenance optimization
