Statistics And Data Interpretation For Social Work PDF Download

Statistics and Data Interpretation for Social Work PDF
Author: Gloria Rosenthal
Publisher: Springer Publishing Company
ISBN: 0826107214
Size: 16.23 MB
Format: PDF, ePub, Docs
Category : Social Science
Languages : en
Pages : 512
View: 6517

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Statistics And Data Interpretation For Social Work Book Description:

Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to provide a solid foundation in statistics. It also addresses tools used by researchers to describe and summarize data ranging from single variables to assessing the relationship between variables and cause and effect among variables. The second section focuses on inferential statistics, describing how researchers draw conclusions about whole populations based on data from samples. This section also covers confidence intervals and a variety of significance tests for examining relationships between different types of variables. Additionally, tools for multivariate analyses and data interpretation are presented. Key Features: Addresses the role of statistics in evidence-based practice and program evaluation Features examples of qualitative and quantitative analysis Each chapter contains exercise problems and questions to enhance student learning Includes electronic data sets taken from actual social work arenas Offers a full ancillary digital packet including a student guide to SPSS with accompanying Data Set, an Instructor's Manual, PowerPoint slides, and a Test Bank

Applied Longitudinal Data Analysis PDF Download

Applied Longitudinal Data Analysis PDF
Author: Judith D. Singer
Publisher: Oxford University Press
ISBN: 0199882401
Size: 16.53 MB
Format: PDF, ePub
Category : Psychology
Languages : en
Pages : 644
View: 3501

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Applied Longitudinal Data Analysis Book Description:

Change is constant in everyday life. Infants crawl and then walk, children learn to read and write, teenagers mature in myriad ways, the elderly become frail and forgetful. Beyond these natural processes and events, external forces and interventions instigate and disrupt change: test scores may rise after a coaching course, drug abusers may remain abstinent after residential treatment. By charting changes over time and investigating whether and when events occur, researchers reveal the temporal rhythms of our lives. Applied Longitudinal Data Analysis is a much-needed professional book for empirical researchers and graduate students in the behavioral, social, and biomedical sciences. It offers the first accessible in-depth presentation of two of today's most popular statistical methods: multilevel models for individual change and hazard/survival models for event occurrence (in both discrete- and continuous-time). Using clear, concise prose and real data sets from published studies, the authors take you step by step through complete analyses, from simple exploratory displays that reveal underlying patterns through sophisticated specifications of complex statistical models. Applied Longitudinal Data Analysis offers readers a private consultation session with internationally recognized experts and represents a unique contribution to the literature on quantitative empirical methods. Visit http://www.ats.ucla.edu/stat/examples/alda.htm for: · Downloadable data sets · Library of computer programs in SAS, SPSS, Stata, HLM, MLwiN, and more · Additional material for data analysis

Seismic Data Analysis Techniques In Hydrocarbon Exploration PDF Download

Seismic Data Analysis Techniques in Hydrocarbon Exploration PDF
Author: Enwenode Onajite
Publisher: Elsevier
ISBN: 012420029X
Size: 59.28 MB
Format: PDF, ePub, Docs
Category : Science
Languages : en
Pages : 256
View: 6086

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Seismic Data Analysis Techniques In Hydrocarbon Exploration Book Description:

Seismic Data Analysis Techniques in Hydrocarbon Exploration explains the fundamental concepts and skills used to acquire seismic data in the oil industry and the step-by-step techniques necessary to extract the sections that trap hydrocarbons as well as seismic data interpretation skills. It enhances the ability to interpret seismic data and use that data for basin evaluation, structural modeling of a fault, reservoir characterization, rock physics analysis, field development, and production studies. Understanding and interpreting seismic data is critical to oil and gas exploration companies. Arming young geoscientists with a reference that covers the key principles of seismic data analysis will enhance their job knowledge, skills and performance. A fundamental grasp of seismic data enhances employability and aids scientists in functioning effectively when working with seismic data in industry. Edited by a team of petroleum geoscientists with more than 30 years of experience in hydrocarbon exploration and data analysis at O&G companies. More than 200 figures, photographs, and illustrations aid in the understanding of the fundamental concepts and techniques used to acquire seismic data Takes an easy-to-follow, step-by-step approach to presenting the techniques and skills used to extract the geologic sections from acquired seismic data. Enhances the geoscientist’s effectiveness when using seismic data for field development and other exploration and production studies

Intelligent Data Analysis PDF Download

Intelligent Data Analysis PDF
Author: Michael R. Berthold
Publisher: Springer
ISBN: 3540486259
Size: 15.70 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 515
View: 1455

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Intelligent Data Analysis Book Description:

This second and revised edition contains a detailed introduction to the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues. The following chapters concentrate on machine learning and artificial intelligence, rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a chapter on visualization and an advanced overview of IDA processes.

Mosby S Comprehensive Review Of Dental Hygiene E Book PDF Download

Mosby s Comprehensive Review of Dental Hygiene   E Book PDF
Author: Michele Leonardi Darby
Publisher: Elsevier Health Sciences
ISBN: 0323291066
Size: 61.10 MB
Format: PDF, Kindle
Category : Medical
Languages : en
Pages : 1040
View: 3665

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Mosby S Comprehensive Review Of Dental Hygiene E Book Book Description:

Your one-stop review for the National Board Dental Hygiene Examination (NBDHE), Mosby's Comprehensive Review of Dental Hygiene, 7th Edition is the most trusted review and study tool on the market. A total of 2,500 review questions including four online timed practice exams -- all with answers and rationales for remediation -- make this book stand out as a student favorite. Already known for its in-depth coverage, an easy-to-use outline format, and expert authorship, this review parallels the NBDHE with case studies, the "testlet" format for community health and research content, an emphasis on computer-based testing, and coverage of dynamic areas such as infection control and local anesthesia administration. Expert author Michele Darby provides the NBDHE review tool you cannot afford to be without! A comprehensive review includes all the necessary content for the NBDHE, with 2,500 review questions including four simulated exams. A logical organization covers the three main areas of the NBDHE: (1) the scientific basis for dental hygiene practice, (2) the provision of clinical dental hygiene services, and (3) community health and research principles. NBDHE-style review questions offer practice and self-assessment relating to key content. A new 350-question examination complete with Components A and B mimics the format of the NBDHE and is included in the back of the book and on the companion Evolve website; it provides answers, rationales, and a timer function. Three additional timed simulated practice examinations are provided on the companion website for additional test-taking experience. Case-based questions prepare you for the case studies and scenarios emphasized on the NBDHE. An outline format allows for easy review and study. Illustrations, diagrams, clinical photographs, and radiographs help in recognizing suspected pathologic processes and interpreting radiographs. Tables and boxes summarize concepts and procedures. Unique! Website tables in each chapter provide a quick reference to key sites for further research and study. Expert authors are leading educators, researchers, and practitioners, each of whom has an in-depth knowledge of what it takes to succeed on the NBDHE. 1,450 NEW practice questions are added to this edition for a more complete review. Updated content reflects changes and advances in areas such as infection control, pharmacology, digital imaging, and local anesthesia administration. Expanded case studies promote critical thinking and provide practice with the complex cases that make up Component B of the examination. NEW full-color photographs, illustrations, and radiographs accurately represent dental conditions. Labeling and identification exercises are included, with electronic flashcards for added vocabulary practice.

Categorical Data Analysis For The Behavioral And Social Sciences PDF Download

Categorical Data Analysis for the Behavioral and Social Sciences PDF
Author: Razia Azen
Publisher: Routledge
ISBN: 1136914242
Size: 13.81 MB
Format: PDF, Mobi
Category : Education
Languages : en
Pages : 296
View: 6900

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Categorical Data Analysis For The Behavioral And Social Sciences Book Description:

Featuring a practical approach with numerous examples, this book focuses on helping the reader develop a conceptual, rather than technical, understanding of categorical methods, making it a much more accessible text than others on the market. The authors cover common categorical analyses and emphasize specific research questions that can be addressed by each analytic procedure so that readers are able to address the research questions they wish to answer. To achieve this goal, the authors: Review the theoretical implications and assumptions underlying each of the procedures Present each concept in general terms and illustrate each with a practical example Demonstrate the analyses using SPSS and SAS and show the interpretation of the results provided by these programs. A "Look Ahead" section at the beginning of each chapter provides an overview of the material covered so that the reader knows what to expect. This is followed by one or more research questions that can be addressed using the procedure(s) covered in the chapter. A theoretical presentation of the material is provided and illustrated using realistic examples from the behavioral and social sciences. To further enhance accessibility, the new procedures introduced in the book are explicitly related to analytic procedures covered in earlier statistics courses, such as ANOVA and linear regression. Throughout each chapter the authors use practical examples to demonstrate how to obtain and interpret statistical output in both SPSS and SAS. Their emphasis on the relationship between the initial research question, the use of the software to carry out the analysis, and the interpretation of the output as it relates to the initial research question, allows readers to easily apply the material to their own research. The data sets for executing chapter examples using SAS Version 9.1.3 and/or IBM SPSS Version 18 are available on a book specific web site. These data sets and syntax allow readers to quickly run the programs and obtain the appropriate output. The book also includes both conceptual and analytic end-of-chapter exercises to assist instructors and students in evaluating the understanding of the material covered in each chapter. This book covers the most commonly used categorical data analysis procedures. It is written for those without an extensive mathematical background, and is ideal for graduate courses in categorical data analysis or cross-classified data analysis taught in departments of psychology, human development & family studies, sociology, education, and business. Researchers in these disciplines interested in applying these procedures to their own research will appreciate this book’s accessible approach.

Categorical Data Analysis Using Sas Third Edition PDF Download

Categorical Data Analysis Using SAS  Third Edition PDF
Author: Maura E. Stokes
Publisher: SAS Institute
ISBN: 1629590355
Size: 58.14 MB
Format: PDF
Category : Computers
Languages : en
Pages : 590
View: 4444

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Categorical Data Analysis Using Sas Third Edition Book Description:

Statisticians and researchers will find this book, newly updated for SAS/STAT 12.1, to be a useful discussion of categorical data analysis techniques as well as an invaluable aid in applying these methods with SAS.

Classification And Related Methods Of Data Analysis PDF Download

Classification and Related Methods of Data Analysis PDF
Author: International Federation of Classification Societies. Conference
Publisher: North Holland
ISBN:
Size: 75.99 MB
Format: PDF, Mobi
Category : Mathematics
Languages : en
Pages : 749
View: 5470

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Classification And Related Methods Of Data Analysis Book Description:

Hardbound. A range of topics and perspectives in classification, clustering, statistics and data analysis are brought together in this volume, including surveys, new methods for clustering objects, and procedures for analysing multivariate or relational data. Emphasized are probabilistic models, pattern recognition and image analysis, the analysis of strains and molecules, algebraic methods from lattice and consensus theory, correspondence and canonical analysis, and the interference between classification and retrieval or expert systems.