Analysis Guides

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Guide To Legal Analysis And Writing

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Author : Ee Ing Ong
language : en
Publisher:
Release Date : 2023

Guide To Legal Analysis And Writing written by Ee Ing Ong and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Law categories.

Guide To Analysis

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Author : F. Mary Hart
language : en
Publisher: Macmillan Educational Corporation
Release Date : 1988

Guide To Analysis written by F. Mary Hart and has been published by Macmillan Educational Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Calculus categories.

This textbook is part of a major series designed to guide undergraduate students through the first year of their mathematics course. New concepts are introduced gradually with worked examples as illustrations. Exercises with and without solutions are provi

A Guide To Empirical Orthogonal Functions For Climate Data Analysis

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Author : Antonio Navarra
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-04-05

A Guide To Empirical Orthogonal Functions For Climate Data Analysis written by Antonio Navarra and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-04-05 with Science categories.

Climatology and meteorology have basically been a descriptive science until it became possible to use numerical models, but it is crucial to the success of the strategy that the model must be a good representation of the real climate system of the Earth. Models are required to reproduce not only the mean properties of climate, but also its variability and the strong spatial relations between climate variability in geographically diverse regions. Quantitative techniques were developed to explore the climate variability and its relations between different geographical locations. Methods were borrowed from descriptive statistics, where they were developed to analyze variance of related observations-variable pairs, or to identify unknown relations between variables. A Guide to Empirical Orthogonal Functions for Climate Data Analysis uses a different approach, trying to introduce the reader to a practical application of the methods, including data sets from climate simulations and MATLAB codes for the algorithms. All pictures and examples used in the book may be reproduced by using the data sets and the routines available in the book . Though the main thrust of the book is for climatological examples, the treatment is sufficiently general that the discussion is also useful for students and practitioners in other fields. Supplementary datasets are available via http://extra.springer.com

Discourse As Data

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Author : Margaret Wetherell
language : en
Publisher: SAGE
Release Date : 2001-05-25

Discourse As Data written by Margaret Wetherell and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-05-25 with Language Arts & Disciplines categories.

`A highly effective introduction which gives readers a clear sense of how to analyze discourse data and then employ the analytic approaches in their own research' - David Silverman, Goldsmith's College, University of London This workbook will be invaluable for students across the social sciences who need to learn how to analyze discourse. Using a step-by-step approach, students are introduced to the principal range of methods for analyzing different types of text, taken through key analytic concepts, offered specimen analyses and given the opportunity to try out analytic concepts on new data. Discourse as Data is organized around eight chapters, six of which are related to the domains covered in the Reader, and top and tailed by two chapters which set up common methodological issues in discourse research relevant to all approaches (such as transcription and the application and the critical evaluation of discourse research). Though the text will be a perfect companion to the simultaneously published Reader, its broad coverage, combined with didactic, practical guidance should make this important reading for any student or researcher wishing to learn more about discourse analysis. This book will be ideal as a teaching tool, and an invaluable aid on discourse analysis courses, which have a practical content, most notably within the fields of psychology, cultural and media studies, sociology and linguistics. This book is a course reader for The Open University course Discourse Analysis (D843).

The Routledge Reviewer S Guide To Mixed Methods Analysis

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Author : Anthony J. Onwuegbuzie
language : en
Publisher: Routledge
Release Date : 2021-07-12

The Routledge Reviewer S Guide To Mixed Methods Analysis written by Anthony J. Onwuegbuzie and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-12 with Psychology categories.

The Routledge Reviewer’s Guide to Mixed Methods Analysis is a groundbreaking edited book – the first devoted solely to mixed methods research analyses, or mixed analyses. Each of the 30 seminal chapters, authored by internationally renowned scholars, provides a simple and practical introduction to a method of mixed analysis. Each chapter demonstrates "how to conduct the analysis" in easy-to-understand language. Many of the chapters present new topics that have never been written before, and all chapters offer cutting-edge approaches to analysis. The book contains the following four sections: Part I Quantitative Approaches to Qualitative Data (e.g., factor analysis of text, multidimensional scaling of qualitative data); Part II Qualitative Approaches to Quantitative Data (e.g., qualitizing data, mixed methodological discourse analysis); Part III "Inherently" Mixed Analysis Approaches (e.g., qualitative comparative analysis, mixed methods social network analysis, social media analytics as mixed analysis, GIS as mixed analysis); and Part IV Use of Software for Mixed Data Analysis (e.g., QDA Miner, WordStat, MAXQDA, NVivo, SPSS). The audience for this book includes (a) researchers, evaluators, and practitioners who conduct a variety of research projects and who are interested in using innovative analyses that will allow them to extract more from their data; (b) academics, including faculty who would use this book in their scholarship, as well as in their graduate-level courses, and graduate students who need access to a comprehensive set of mixed analysis tools for their dissertations/theses and other research assignments and projects; and (c) computer-assisted data analysis software developers who are seeking additional mixed analyses to include within their software programs. Chapter 24 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.

Quasi Experimentation

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Author : Charles S. Reichardt
language : en
Publisher: Guilford Publications
Release Date : 2019-09-02

Quasi Experimentation written by Charles S. Reichardt and has been published by Guilford Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-02 with Business & Economics categories.

Featuring engaging examples from diverse disciplines, this book explains how to use modern approaches to quasi-experimentation to derive credible estimates of treatment effects under the demanding constraints of field settings. Foremost expert Charles S. Reichardt provides an in-depth examination of the design and statistical analysis of pretest-posttest, nonequivalent groups, regression discontinuity, and interrupted time-series designs. He details their relative strengths and weaknesses and offers practical advice about their use. Reichardt compares quasi-experiments to randomized experiments and discusses when and why the former might be a better choice. Modern moethods for elaborating a research design to remove bias from estimates of treatment effects are described, as are tactics for dealing with missing data and noncompliance with treatment assignment. Throughout, mathematical equations are translated into words to enhance accessibility.

Making Sense Of Data I

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Author : Glenn J. Myatt
language : en
Publisher: John Wiley & Sons
Release Date : 2014-07-02

Making Sense Of Data I written by Glenn J. Myatt and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-02 with Mathematics categories.

Praise for the First Edition “...a well-written book on data analysis and data mining that provides an excellent foundation...” —CHOICE “This is a must-read book for learning practical statistics and data analysis...” —Computing Reviews.com A proven go-to guide for data analysis, Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition focuses on basic data analysis approaches that are necessary to make timely and accurate decisions in a diverse range of projects. Based on the authors’ practical experience in implementing data analysis and data mining, the new edition provides clear explanations that guide readers from almost every field of study. In order to facilitate the needed steps when handling a data analysis or data mining project, a step-by-step approach aids professionals in carefully analyzing data and implementing results, leading to the development of smarter business decisions. The tools to summarize and interpret data in order to master data analysis are integrated throughout, and the Second Edition also features: Updated exercises for both manual and computer-aided implementation with accompanying worked examples New appendices with coverage on the freely available TraceisTM software, including tutorials using data from a variety of disciplines such as the social sciences, engineering, and finance New topical coverage on multiple linear regression and logistic regression to provide a range of widely used and transparent approaches Additional real-world examples of data preparation to establish a practical background for making decisions from data Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition is an excellent reference for researchers and professionals who need to achieve effective decision making from data. The Second Edition is also an ideal textbook for undergraduate and graduate-level courses in data analysis and data mining and is appropriate for cross-disciplinary courses found within computer science and engineering departments.

Business Analysis For Practitioners

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Author : Project Management Institute
language : en
Publisher: Project Management Inst
Release Date : 2015-01-01

Business Analysis For Practitioners written by Project Management Institute and has been published by Project Management Inst this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-01 with Business & Economics categories.

Recent research has shown that organizations continue to experience project issues associated with the poor performance of requirements-related activities a core task for the practice of business analysis. In fact, poor requirements practices are often cited as a leading cause of project failure in PMI's Pulse of the Profession surveys. Business Analysis for Practitioners: A Practice Guide provides practical resources to tackle the project-related issues associated with requirements and business analysis and addresses a critical need in the industry for more guidance in this area.

A Guide To Functional Analysis

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Author : Steven G. Krantz
language : en
Publisher: MAA
Release Date : 2013-06-06

A Guide To Functional Analysis written by Steven G. Krantz and has been published by MAA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-06 with Mathematics categories.

This book is a quick but precise and careful introduction to the subject of functional analysis. It covers the basic topics that can be found in a basic graduate analysis text. But it also covers more sophisticated topics such as spectral theory, convexity, and fixed-point theorems. A special feature of the book is that it contains a great many examples and even some applications. It concludes with a statement and proof of Lomonosov's dramatic result about invariant subspaces.

Doing Meta Analysis With R

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Author : Mathias Harrer
language : en
Publisher: CRC Press
Release Date : 2021-09-15

Doing Meta Analysis With R written by Mathias Harrer and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-15 with Mathematics categories.

Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including calculation and pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools. Advanced but highly relevant topics such as network meta-analysis, multi-three-level meta-analyses, Bayesian meta-analysis approaches and SEM meta-analysis are also covered. A companion R package, dmetar, is introduced at the beginning of the guide. It contains data sets and several helper functions for the meta and metafor package used in the guide. The programming and statistical background covered in the book are kept at a non-expert level, making the book widely accessible. Features • Contains two introductory chapters on how to set up an R environment and do basic imports/manipulations of meta-analysis data, including exercises • Describes statistical concepts clearly and concisely before applying them in R • Includes step-by-step guidance through the coding required to perform meta-analyses, and a companion R package for the book