Using Statistics in the Social and Health Sciences with SPSS and Excel(Hardcover)

Provides a step-by-step approach to statistical procedures to analyze data and conduct research, with detailed sections in each chapter explaining SPSS® and Excel® applications

This book identifies connections between statistical applications and research design using cases, examples, and discussion of specific topics from the social and health sciences. Researched and class-tested to ensure an accessible presentation, the book combines clear, step-by-step explanations for both the novice and professional alike to understand the fundamental statistical practices for organizing, analyzing, and drawing conclusions from research data in their field.

The book begins with an introduction to descriptive and inferential statistics and then acquaints readers with important features of statistical applications (SPSS and Excel) that support statistical analysis and decision making. Subsequent chapters treat the procedures commonly employed when working with data across various fields of social science research. Individual chapters are devoted to specific statistical procedures, each ending with lab application exercises that pose research questions, examine the questions through their application in SPSS and Excel, and conclude with a brief research report that outlines key findings drawn from the results. Real-world examples and data from social and health sciences research are used throughout the book, allowing readers to reinforce their comprehension of the material.

Using Statistics in the Social and Health Sciences with SPSS® and Excel® includes:

• Use of straightforward procedures and examples that help students focus on understanding of analysis and interpretation of findings

• Inclusion of a data lab section in each chapter that provides relevant, clear examples

• Introduction to advanced statistical procedures in chapter sections (e.g., regression diagnostics) and separate chapters (e.g., multiple linear regression) for greater relevance to real-world research needs

Emphasizing applied statistical analyses, this book can serve as the primary text in undergraduate and graduate university courses within departments of sociology, psychology, urban studies, health sciences, and public health, as well as other related departments. It will also be useful to statistics practitioners through extended sections using SPSS® and Excel® for analyzing data.

Martin Lee Abbott, PhD, is Professor of Sociology at Seattle Pacific University, where he has served as Executive Director of the Washington School Research Center, an independent research and data analysis center funded by the Bill & Melinda Gates Foundation. Dr. Abbott has held positions in both academia and industry, focusing his consulting and teaching in the areas of statistical procedures, program evaluation, applied sociology, and research methods. He is the author of Understanding Educational Statistics Using Microsoft Excel® and SPSS®, The Program Evaluation Prism: Using Statistical Methods to Discover Patterns, and Understanding and Applying Research Design, also from Wiley.

本書提供了一種逐步進行統計程序、分析數據和進行研究的方法，每章都有詳細的部分解釋了SPSS®和Excel®的應用。本書通過案例、示例和對社會科學和健康科學中特定主題的討論，確定了統計應用和研究設計之間的聯繫。經過研究和班級測試，以確保易於理解的呈現方式，本書結合了清晰的、逐步的解釋，使初學者和專業人士都能理解組織、分析和從研究數據中得出結論的基本統計實踐。

本書首先介紹了描述性統計和推論統計，然後讓讀者熟悉支持統計分析和決策的統計應用（SPSS和Excel）的重要功能。隨後的章節介紹了在社會科學研究的各個領域中處理數據時常用的程序。各個章節都專門介紹了特定的統計程序，每個章節都以實驗應用練習結束，提出研究問題，通過在SPSS和Excel中應用這些問題進行檢查，最後以簡短的研究報告總結從結果中得出的關鍵發現。全書運用了社會科學和健康科學研究中的真實案例和數據，讓讀者能夠加強對材料的理解。

《在社會和健康科學中使用SPSS®和Excel®進行統計分析》包括：

• 使用簡單的程序和示例，幫助學生專注於分析和解釋結果的理解
• 每章都包含一個數據實驗室部分，提供相關的清晰示例
• 在章節中介紹高級統計程序（例如，回歸診斷）和單獨的章節（例如，多元線性回歸），以更貼近實際研究需求

本書強調應用統計分析，可以作為社會學、心理學、城市研究、健康科學和公共衛生等本科和研究生課程的主要教材，也對統計實踐者有用，因為它使用SPSS®和Excel®進行數據分析的延伸部分。

Martin Lee Abbott, PhD是西雅圖太平洋大學的社會學教授，曾擔任華盛頓學校研究中心的執行主任，該研究中心是由比爾和梅琳達·蓋茨基金會資助的獨立研究和數據分析中心。Abbott博士在學術界和工業界擔任過職位，專注於統計程序、項目評估、應用社會學和研究方法的咨詢和教學。他是《使用Microsoft Excel®和SPSS®理解教育統計》、《程序評估棱鏡：使用統計方法發現模式》和《理解和應用研究設計》等書的作者。