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 Edition

• Three new chapters on multiple discriminant analysis, logistic regression, and canonical correlation
• New section on how to deal with missing data
• Coverage of tests of assumptions, such as linearity, outliers, normality, homogeneity of variance-covariance matrices, and multicollinearity
• Discussions 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 modeling

Suitable 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.

《IBM SPSS單變量和多變量數據分析手冊第二版》以與暢銷前作相同的易於理解、實用的方式，解釋了如何將統計測試應用於實驗結果，識別測試的假設，並解釋結果。第二版現在涵蓋更多主題，並已更新為適用於Windows的SPSS統計軟件。

第二版的新增內容包括：
- 三個關於多重判別分析、邏輯回歸和典型相關的新章節
- 新增處理缺失數據的部分
- 涵蓋假設測試，如線性、異常值、正態性、變異共變異矩陣的均質性和多重共線性
- 討論從兩個樣本獲得的兩個相關係數之間計算第一類錯誤和測試統計顯著性的程序
- 擴展因子分析、路徑分析（中介假設的測試）和結構方程建模的內容

這本手冊適用於社會科學領域的新手和經驗豐富的研究人員，提供了選擇正確統計測試、通過Windows和語法方法執行各種單變量和多變量統計測試，以及解釋輸出結果的清晰指南。用於執行統計測試的SPSS語法文件可在附錄中找到。示例中使用的數據集可在該書的CRC Press網頁上找到。