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Thursday, July 9, 2020 | History

3 edition of Statistical inference for educational researchers found in the catalog.

Statistical inference for educational researchers

Malcolm J. Slakter

Statistical inference for educational researchers

by Malcolm J. Slakter

  • 165 Want to read
  • 2 Currently reading

Published by Addison-Wesley Pub. Co. in Reading, Mass .
Written in English

    Subjects:
  • Educational statistics.,
  • Education -- Research.

  • Edition Notes

    Bibliography: p. 379-382.

    Statement[by] Malcolm J. Slakter.
    Classifications
    LC ClassificationsLB2846 .S47
    The Physical Object
    Paginationxiii, 481 p.
    Number of Pages481
    ID Numbers
    Open LibraryOL4770246M
    LC Control Number78164654

    The Institute for Digital Research and Education (IDRE) has a collection of books on statistics and statistical computing available for UCLA researchers to . The book is an excellent general statistics text, with the key advantage of using SPSS to illustrate the concepts. The book would be a good text for undergraduate students on a range of social science courses or postgraduate students taking Foundation Research Methods. Steve Strand University of Warwick, British Journal of Educational Psychology.

    Statistical inference is the process through which inferences about a population are made based on certain statistics calculated from a sample of data drawn from that population. Petter Laake, Morten Wang Fagerland, in Research in Medical and Biological Sciences (Second Edition), Statistical inference is important in order to analyze data. Wolfgang Wiedermann, PhD, is Assistant Professor in the Department of Educational, School, and Counseling Psychology at the University of Missouri, research interests include the development of methods for direction dependence analysis and causal inference, the development and evaluation of methods for person-oriented research, and methods for .

    Title: Statistical Inference Author: George Casella, Roger L. Berger Created Date: 1/9/ PM. This book gives a brief, but rigorous, treatment of statistical inference intended for practicing Data Scientists. Table of Contents. Free to Read online. This book is 99% complete. Last updated on The ideal reader for this book will be quantitatively literate and has a basic understanding of statistical concepts and R programming.


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Statistical inference for educational researchers by Malcolm J. Slakter Download PDF EPUB FB2

Statistical Inference: A Short Course is an excellent book for courses on probability, mathematical statistics, and statistical inference at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for researchers and practitioners who would like to develop further insights into essential statistical by: 9.

This book provides an introduction to probability theory, statistical inference, and statistical modeling for social science researchers and Ph.D. students. Focusing on the connection between statistical procedures and social science theory, Sean Gailmard develops core statistical theory as a set of tools to model and assess relationships between variables - the Cited by: 8.

Statistical Analysis for Education and Psychology Researchers: Tools for researchers in education and psychology 1st Edition. by Ian Peers (Author) › Visit Amazon's Ian Peers Page. Find all the books, read about the author, and more. See search results for this Author: Ian Peers. Statistical inference for educational researchers.

[Malcolm J Slakter] Educational statistics. Education -- Research. Statistique de l'éducation. View all subjects; More like this: Book: All Authors / Contributors: Malcolm J Slakter.

Find more information about: OCLC Number. Statistical Inference: A Short Course is an excellent book for courses on probability, mathematical statistics, and statistical inference at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for researchers and practitioners who would like to develop further insights into essential statistical tools.

The authors do an excellent job focusing on those theoretical concepts and methods that are most important in applied research. Although other good books on spatial point processes are available, this is the first text to tackle difficult issues of simulation-based inference for such processes.

[T]he text is remarkably easy to follow. Cited by:   His research interests include statistical inference, machine learning, detection and estimation theory, information theory, statistical signal, image, and video processing, and information security.

Moulin is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), and served as a Distinguished Lecturer for the IEEE Signal Processing : And the text really bares the soul of statistics.

The text motivates the theory by keeping it connected to real-world applications." David F. Snyder, Texas State University "Probability and Statistical Inference is a great text to use for a one-year course, where the students are just becoming mathematically bility: This title is out of print.

Provides the opportunity to cover the new technique in statistical inference. Ex.___ NEW - A Prologue, Centerpiece, and an Epilogue —Added to provide unification of the various chapters in the book and to emphasize that variation occurs in almost every process, and that the study of probability and statistics helps us understand this bility: This title is out of print.

Written by three veteran statisticians, this applied introduction to probability and statistics emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation.

This book is a mathematically accessible and up-to-date introduction to the tools needed to address modern inference problems in engineering and data science, ideal for graduate students taking courses on statistical inference and detection and estimation, and an invaluable reference for researchers and by: 8.

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About the Book. This is a new approach to an introductory statistical inference textbook, motivated by probability theory as logic. It is targeted to the typical Statistics college student, and covers the topics typically covered in the first semester of such a course. It is freely available under the Creative Commons License, 4/5(2).

This book is designed for specialists needing an introduction to statistical inference in spatial statistics and its applications. One of the author's themes is to show how these techniques give new insights into classical procedures (including new examples in likelihood theory) and newer statistical paradigms such as Monte-Carlo inference and by: Request PDF | On Jan 1,T.

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Statistics for Social Scientists Quantitative social science research: 1 Find a substantive question 2 Construct theory and hypothesis 3 Design an empirical study and collect data 4 Use statistics to analyze data and test hypothesis 5 Report the results No study in the social sciences is perfect Use best available methods and data, but be aware of limitationsFile Size: 1MB.

This book is a mathematically accessible and up-to-date introduction to the tools needed to address modern inference problems in engineering and data science, ideal for graduate students taking courses on statistical inference and detection and estimation, and an invaluable reference for researchers and : Pierre Moulin, Venugopal V.

Veeravalli. The text’s second half emphasizes statistics and statistical inference, including estimation, Bayesian estimation, tests of statistical hypotheses, and methods for quality improvement. The solid organization presents information in a logical, easy-to-grasp sequence, incorporating the latest trends and scholarship in the field of probability Availability: This item has been replaced by.

National Center for Special Education Research. Lynn Okagaki. Acting Commissioner. April. This report is in the public domain. While permission to reprint this publication is not necessary, the citation should be: Hedges, Larry and Rhoads, Christopher (). Statistical Power Analysis in Education Research (NCSER ).File Size: 1MB.

Neuware - The primary goal of this book is to present a comprehensive and theoretically accessible work to graduate students and researchers to develop their skills to use the theory of statistical inference problems on Markov processes.In many introductory level courses today, teachers are challenged with the task of fitting in all of the core concepts of the course in a limited period of time.

The Introductory Statistics teacher is no stranger to this challenge. To add to the difficulty, many textbooks contain an overabundance of material, which not only results in the need for further streamlining, but also in intimidated 4/5(8).An Introduction to Probability and Statistical Inference, Second Edition, guides you through probability models and statistical methods and helps you to think critically about various concepts.

Written by award-winning author George Roussas, this book introduces readers with no prior knowledge in probability or statistics to a thinking process to help them obtain the .