Presenting statistical results effectively (Record no. 7641)

MARC details
000 -LEADER
fixed length control field 04860nam a22002297a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20241222142656.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241220b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781446269817
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 001.4226
Item number AND
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Anderson, Robert
245 ## - TITLE STATEMENT
Title Presenting statistical results effectively
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. Sage Publication Ltd.
Place of publication, distribution, etc. London
Date of publication, distribution, etc. 2022
300 ## - PHYSICAL DESCRIPTION
Extent xxvi, 424 p.
365 ## - TRADE PRICE
Price type code GBP
Price amount 40.99
500 ## - GENERAL NOTE
General note Table of content:<br/>Chapter 1: Some Foundation <br/>What is a ‘Model’?<br/> <br/>Statistical Inference<br/> <br/> <br/>Part A: General Principles of Effective Presentation<br/> Chapter 2: Best Practices for Graphs and Tables <br/>When to use Tables and Graphs<br/> <br/>Constructing Effective Tables<br/> <br/>Constructing Clear and Informative Graphs<br/> <br/> Chapter 3: Methods for Visualizing Distributions <br/>Displaying the Distributions of Categorical Variables<br/> <br/>Displaying Distributions of Quantitative Variables<br/> <br/>Transformations<br/> <br/> Chapter 4: Exploring and Describing Relationships <br/>Two Categorical Variables<br/> <br/>Categorical Explanatory Variable and Quantitative Dependent Variable<br/> <br/>Two quantitative Variables<br/> <br/>Multivariate Displays<br/> <br/> <br/>Part B: The Linear Model<br/> Chapter 5: The Linear Regression Model <br/>Ordinary Least Squares Regression<br/> <br/>Hypothesis tests and confidence intervals<br/> <br/>Assessing and Comparing Model Fit<br/> <br/>Relative Importance of Predictors<br/> <br/>Interpreting and presenting OLS models: Some empirical examples<br/> <br/>Linear Probability Model<br/> <br/> Chapter 6: Assessing the Impact and Importance of Multi-category Explanatory Variables <br/>Coding Multi-category Explanatory Variables<br/> <br/>Revisiting Statistical Significance: Multi-category Predictors<br/> <br/>Relative importance of sets of regressors<br/> <br/>Graphical Presentation of Additive Effects<br/> <br/> Chapter 7: Identifying and Handling Problems in Linear Models <br/>Nonlinearity<br/> <br/>Influential Observations<br/> <br/>Heteroskedasticity<br/> <br/>Nonnormality<br/> <br/> Chapter 8: Modelling and Presentation of Curvilinear Effects <br/>Curvilinearity in the Linear Model Framework<br/> <br/>Nonlinear Transformations<br/> <br/>Polynomial Regression<br/> <br/>Regression Splines<br/> <br/>Nonparametric Regression<br/> <br/>Generalized Additive Models<br/> <br/> Chapter 9: Interaction Effects in Linear Models <br/>Understanding Interaction Effects<br/> <br/>Interactions Between Two Categorical Variables<br/> <br/>Interactions Between One Categorical Variable and One Quantitative Variable<br/> <br/>Interactions Between Two Continuous Variables<br/> <br/>Interaction Effects: Some Cautions and Recommendations<br/> <br/> <br/>Part C: The Generalized Linear Model and Extensions<br/> Chapter 10: Generalized Linear Models <br/>Basics of the Generalized Linear Model<br/> <br/>Maximum Likelihood Estimation<br/> <br/>Hypothesis tests and confidence intervals<br/> <br/>Assessing Model Fit<br/> <br/>Empirical Example: Using Poisson Regression to Predict Counts<br/> <br/>Understanding Effects of Variables<br/> <br/>Measuring Variable Importance<br/> <br/>Model Diagnostics<br/> <br/> Chapter 11: Categorical Dependent Variables <br/>Regression Models for Binary Outcomes<br/> <br/>Interpreting Effects in Logit and Probit Models<br/> <br/>Model Fit for Binary Regression Models<br/> <br/>Diagnostics Specific to Binary Regression Models<br/> <br/>Extending the Binary Regression Model – Ordered and Multinomial Models<br/> <br/> Chapter 12: Conclusions and Recommendations <br/>Choosing the Right Estimator<br/> <br/>Research Design and Measurement Issues<br/> <br/>Evaluating the Model<br/> <br/>Effective Presentation of Results<br/>[https://us.sagepub.com/en-us/nam/presenting-statistical-results-effectively/book240604#contents]
520 ## - SUMMARY, ETC.
Summary, etc. Perfect for any statistics student or researcher, this book offers hands-on guidance on how to interpret and discuss your results in a way that not only gives them meaning, but also achieves maximum impact on your target audience. No matter what variables your data involves, it offers a roadmap for analysis and presentation that can be extended to other models and contexts.<br/><br/>Focused on best practices for building statistical models and effectively communicating their results, this book helps you:<br/>- Find the right analytic and presentation techniques for your type of data<br/>- Understand the cognitive processes involved in decoding information<br/>- Assess distributions and relationships among variables<br/>- Know when and how to choose tables or graphs<br/>- Build, compare, and present results for linear and non-linear models<br/>- Work with univariate, bivariate, and multivariate distributions<br/>- Communicate the processes involved in and importance of your results. <br/><br/>(https://us.sagepub.com/en-us/nam/presenting-statistical-results-effectively/book240604)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Research methods and evaluation
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics - Graphic methods
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistical research
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Armstrong II, David A
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Operations Management & Quantitative Techniques 1182799 09-12-2024 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 12/22/2024 Atlantic Publishers & Distributors 3079.99   001.4226 AND 006877 12/22/2024 1 4738.44 12/22/2024 Book

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