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Handbook of Univariate and Multivariate Data Analysis with IBM SPSS

Handbook of Univariate and Multivariate Data Analysis with IBM SPSS

Using the same accessible hands-on approach as its best-selling predecessor the Handbook of Univariate and Multivariate Data Analysis with IBM SPSS Second Edition explains how to apply statistical tests to experimental findings identify the assumptions underlying the tests and interpret the findings. This second edition now covers more topics and has been updated with the SPSS statistical package for Windows. New to the Second EditionThree new chapters on multiple discriminant analysis logistic regression and canonical correlationNew section on how to deal with missing dataCoverage of tests of assumptions such as linearity outliers normality homogeneity of variance-covariance matrices and multicollinearityDiscussions of the calculation of Type I error and the procedure for testing statistical significance between two correlation coefficients obtained from two samples Expanded coverage of factor analysis path analysis (test of the mediation hypothesis) and structural equation modelingSuitable for both newcomers and seasoned researchers in the social sciences the handbook offers a clear guide to selecting the right statistical test executing a wide range of univariate and multivariate statistical tests via the Windows and syntax methods and interpreting the output results. The SPSS syntax files used for executing the statistical tests can be found in the appendix. Data sets employed in the examples are available on the book’s CRC Press web page.

GBP 42.99
1

Discourse Discipline and the Subject A Foucauldian Analysis of the UK Financial Services Industry

Fingerprint Analysis Laboratory Workbook Second Edition

Fingerprint Analysis Laboratory Workbook Second Edition

Fingerprint collection and analysis may be performed as part of many jobs including crime scene technician latent print examiner criminalist and lab supervisor. Regardless of one’s specific background or role in the process a knowledge of scientific practices is critical in handling and analyzing fingerprint evidence. The best way to understand the principles and concepts of any science learned in a classroom is to perform experiments. The exercises in Fingerprint Analysis Laboratory Workbook Second Edition address all aspects of fingerprint theory investigation processing comparisons and research. Designed specifically to parallel the Fundamentals of Fingerprint Analysis Second Edition textbook the laboratory exercises correspond with the textbook chapters with exercise in the lab chapter putting into practice the concepts covered in the text chapter. Each lab follows the same format beginning with the objectives of the experiment and providing the background information necessary to perform the experiment. This is followed by a list of required materials the lab exercises and post-lab questions for students to test what they’ve learned. Many of the laboratory exercises may be completed either at home or in a laboratory setting. Exercises and photographs enhance the text making it an ideal hands-on learning tool. New techniques and current practices added to the primary textbook have been included in this companion laboratory workbook to cover the latest in real-world application of fingerprint analysis science to practice.

GBP 35.99
1

Routledge Handbook of World-Systems Analysis

Strategic Business Case Analysis

Strategic Business Case Analysis

This textbook provides students with the skills and techniques necessary to analyse business case studies from a strategic perspective. With career development and impact in mind the book goes beyond simply listing tools instead teaching students how to prepare for a major strategic business case analysis project how to position their analysis on a spectrum from reductionist to holistic approaches how to critically engage with theory and case data as well as how to leverage their work after completion. A logical approach is offered taking the reader through the analysis journey from preparing to analyse a case study to conducting the analysis and maximising the impact going forwards. A comprehensive analysis task is incorporated which asks the reader to reflect on a range of case data understand the choices of analytical positioning and tool selection and develop an analysis based on this positioning. Further pedagogical features include: Reflective practice exercises at the end of chapters allowing the student to self-identify areas of strength and weakness as they develop through the process. Worked examples based on cases reproduced in the book allowing the student to follow the analytical process that the author went through in different analysis modes. Quotes and analysis insights from former students who have previously conducted a strategic business case analysis aiding reflective practice. As case study analysis continues as a core component of teaching across business schools this unique text will help to build key skills in advanced undergraduate postgraduate MBA and executive education students conducting strategic business case analysis. Support material includes PowerPoint slides as well as video content.

GBP 42.99
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Ethnomethodology Conversation Analysis and Constructive Analysis On Formal Structures of Practical Action

Office Development A Geographical Analysis

Film Text Analysis New Perspectives on the Analysis of Filmic Meaning

Creative Writing Analysis

Real Analysis With Proof Strategies

Critical Theory and Qualitative Data Analysis in Education

Ferenczi on Freud’s Couch A Finished Analysis?

Analyzing Media Messages Using Quantitative Content Analysis in Research

Analyzing Media Messages Using Quantitative Content Analysis in Research

Transactional Analysis 100 Key Points and Techniques

Introduction to Literary Analysis A Complete Methodology

Dermoscopy Image Analysis

Dermoscopy Image Analysis

Dermoscopy is a noninvasive skin imaging technique that uses optical magnification and either liquid immersion or cross-polarized lighting to make subsurface structures more easily visible when compared to conventional clinical images. It allows for the identification of dozens of morphological features that are particularly important in identifying malignant melanoma. Dermoscopy Image Analysis summarizes the state of the art of the computerized analysis of dermoscopy images. The book begins by discussing the influence of color normalization on classification accuracy and then: Investigates gray-world max-RGB and shades-of-gray color constancy algorithms showing significant gains in sensitivity and specificity on a heterogeneous set of images Proposes a new color space that highlights the distribution of underlying melanin and hemoglobin color pigments leading to more accurate classification and border detection results Determines that the latest border detection algorithms can achieve a level of agreement that is only slightly lower than the level of agreement among experienced dermatologists Provides a comprehensive review of various methods for border detection pigment network extraction global pattern extraction streak detection and perceptually significant color detection Details a computer-aided diagnosis (CAD) system for melanomas that features an inexpensive acquisition tool clinically meaningful features and interpretable classification feedback Presents a highly scalable CAD system implemented in the MapReduce framework a novel CAD system for melanomas and an overview of dermatological image databases Describes projects that made use of a publicly available database of dermoscopy images which contains 200 high-quality images along with their medical annotations Dermoscopy Image Analysis not only showcases recent advances but also explores future directions for this exciting subfield of medical image analysis covering dermoscopy image analysis from preprocessing to classification.

GBP 42.99
1

Statistical Methods for Spatial Data Analysis

Statistical Methods for Spatial Data Analysis

Understanding spatial statistics requires tools from applied and mathematical statistics linear model theory regression time series and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools designed explicitly for spatial data analysis. Statistical Methods for Spatial Data Analysis answers the demand for a text that incorporates all of these factors by presenting a balanced exposition that explores both the theoretical foundations of the field of spatial statistics as well as practical methods for the analysis of spatial data. This book is a comprehensive and illustrative treatment of basic statistical theory and methods for spatial data analysis employing a model-based and frequentist approach that emphasizes the spatial domain. It introduces essential tools and approaches including: measures of autocorrelation and their role in data analysis; the background and theoretical framework supporting random fields; the analysis of mapped spatial point patterns; estimation and modeling of the covariance function and semivariogram; a comprehensive treatment of spatial analysis in the spectral domain; and spatial prediction and kriging. The volume also delivers a thorough analysis of spatial regression providing a detailed development of linear models with uncorrelated errors linear models with spatially-correlated errors and generalized linear mixed models for spatial data. It succinctly discusses Bayesian hierarchical models and concludes with reviews on simulating random fields non-stationary covariance and spatio-temporal processes. Additional material on the CRC Press website supplements the content of this book. The site provides data sets used as examples in the text software code that can be used to implement many of the principal methods described and illustrated and updates to the text itself.

GBP 42.99
1

Practical Guide to ChIP-seq Data Analysis

Mondragon An Economic Analysis

Intensive Transactional Analysis Psychotherapy An Integrated Model

Script Analysis for Actors Directors and Designers

Sports Analytics Analysis Visualisation and Decision Making in Sports Performance

Integrative Framing Analysis Framing Health through Words and Visuals