Data Analysis with IBM SPSS Statistics

Master data management & analysis techniques with IBM SPSS Statistics 24

About This Book

• Leverage the power of IBM SPSS Statistics to perform efficient statistical analysis of your data
• Choose the right statistical technique to analyze different types of data and build efficient models from your data with ease
• Overcome any hurdle that you might come across while learning the different SPSS Statistics concepts with clear instructions, tips and tricks

Who This Book Is For

This book is designed for analysts and researchers who need to work with data to discover meaningful patterns but do not have the time (or inclination) to become programmers. We assume a foundational understanding of statistics such as one would learn in a basic course or two on statistical techniques and methods.

What You Will Learn

• Install and set up SPSS to create a working environment for analytics
• Techniques for exploring data visually and statistically, assessing data quality and addressing issues related to missing data
• How to import different kinds of data and work with it
• Organize data for analytical purposes (create new data elements, sampling, weighting, subsetting, and restructure your data)
• Discover basic relationships among data elements (bivariate data patterns, differences in means, correlations)
• Explore multivariate relationships
• Leverage the offerings to draw accurate insights from your research, and benefit your decision-making

In Detail

SPSS Statistics is a software package used for logical batched and non-batched statistical analysis. Analytical tools such as SPSS can readily provide even a novice user with an overwhelming amount of information and a broad range of options for analyzing patterns in the data.

The journey starts with installing and configuring SPSS Statistics for first use and exploring the data to understand its potential (as well as its limitations). Use the right statistical analysis technique such as regression, classification and more, and analyze your data in the best possible manner. Work with graphs and charts to visualize your findings. With this information in hand, the discovery of patterns within the data can be undertaken. Finally, the high level objective of developing predictive models that can be applied to other situations will be addressed.

By the end of this book, you will have a firm understanding of the various statistical analysis techniques offered by SPSS Statistics, and be able to master its use for data analysis with ease.

Style and approach

Provides a practical orientation to understanding a set of data and examining the key relationships among the data elements. Shows useful visualizations to enhance understanding and interpretation. Outlines a roadmap that focuses the process so decision regarding how to proceed can be made easily.

《使用IBM SPSS Statistics 24進行主數據管理和分析技術》

關於本書
- 利用IBM SPSS Statistics的強大功能，對數據進行高效的統計分析
- 選擇適合的統計技術來分析不同類型的數據，並輕鬆地從數據中建立高效的模型
- 通過清晰的指導、技巧和訣竅，克服學習不同SPSS Statistics概念時可能遇到的任何障礙

本書適合對數據進行有意義模式發現的分析師和研究人員，但他們沒有時間（或意願）成為程序員。我們假設讀者對統計學有基礎的理解，就像在基礎統計技術和方法的一兩門課程中所學到的那樣。

你將學到什麼
- 安裝和設置SPSS，為分析創建工作環境
- 以視覺和統計的方式探索數據，評估數據質量並解決與缺失數據相關的問題
- 如何導入不同類型的數據並處理它
- 為分析目的組織數據（創建新的數據元素，抽樣，加權，子集和重組數據）
- 發現數據元素之間的基本關係（雙變量數據模式，均值差異，相關性）
- 探索多變量關係
- 利用提供的功能從研究中獲得準確的見解，並有助於決策

詳細內容
SPSS Statistics是一個用於邏輯批處理和非批處理統計分析的軟件包。像SPSS這樣的分析工具可以為即使是新手用戶提供大量的信息和廣泛的選擇，以分析數據中的模式。

本書從安裝和配置SPSS Statistics開始，並探索數據以了解其潛力（以及限制）。使用適當的統計分析技術，如回歸，分類等，以最佳方式分析數據。使用圖表和圖形來可視化發現。有了這些信息，可以進行數據中模式的發現。最後，將討論開發可應用於其他情境的預測模型的高層目標。

通過閱讀本書，您將對SPSS Statistics提供的各種統計分析技術有深入的了解，並能夠輕鬆地掌握其用於數據分析的使用。

風格和方法
提供實用的導向，以理解一組數據並檢查數據元素之間的關係。展示有用的可視化工具以增強理解和解釋。概述了一個路線圖，專注於過程，以便輕鬆做出如何繼續的決策。