Cleophas T.J., Zwinderman A.H. SPSS for Starters

Springer – 2010, 76 p.
ISBN: 9048195187This small book contains all statistical tests that are relevant for starters on SPSS. Each test is explained using a data example from clinical practice, including every step in SPSS and the main tables of results with an accompanying text with interpretations of the results and hints convenient for data reporting, i.e., scientific clinical articles and poster presentations. In order to facilitate the use of this cookbook the data files of the examples are made available by the publisher on the Internet. For investigators who wish to perform their own data analyses from the very start the book can be used as a step-by-step guideline. They can enter their separate data or enter their entire data file, e.g., from Excel, simply by opening an Excel file in SPSS. SPSS statistical software is a user-friendly statistical software with many help and tutor pages. However, for the novices on SPSS an even more basic approach is welcome. The book is meant for this very purpose, and can be used without the help of a teacher. The authors are well-aware that this cookbook contains a minimal amount of text and a maximal technical details, but we believe that this property will not refrain students from mastering the SPSS software systematic, and that, instead, it will even be a help to that aim. Yet, we recommend that it be used together with the textbook Statistics Applied to Clinical Trials by Cleophas et al, 4th Edition, 2009, Springer.One-Sample Continuous and Binary Data (t-Test, z-Test)
(10 and 55 Patients)
One Sample of Continuous Data
Analysis: One-Sample t-Test
One Sample of Binary Data
Analysis: z-TestPaired Continuous Data (Paired-t, Wilcoxon) (10 Patients)
Analysis: Paired t-Test
Alternative Analysis: WilcoxonUnpaired Continuous Data (Unpaired t-Tests, Mann–Whitney)
(20 Patients)
Analysis: Unpaired t-Test
Alternative Analysis: Mann–Whitney TestLinear Regression (20 Patients)
Simple Linear Regression
Multiple Linear RegressionRepeated Measures ANOVA, Friedman (10 Patients)
Repeated Measurements ANOVA
Alternative: Friedman Test (Better with Non-Gaussian
Distributions).Mixed Models (20 Patients).
Mixed Effects AnalysisOne-Way-ANOVA, Kruskall–Wallis (30 Patients)
One-Way-ANOVA.
Alternative Test: Kruskall–Wallis Test
(Better with Non-Gaussian Distributions).Trend Test for Continuous Data (30 Patients).
Trend Analysis for Continuous DataUnpaired Binary Data (Chi-Square, Crosstabs) (55 Patients).
Analysis: Chi-square TestLogistic Regression (55 Patients)
Simple Logistic Regression.
Multiple Logistic Regression.Trend Tests for Binary Data (106 Patients).
Analysis: Multiple Groups Chi-square Test.
Analysis: Chi-square Test for Trends.Paired Binary (McNemar Test) (139 General Practitioners).
Analysis: McNemar’s Test.Multiple Paired Binary Data (Cochran’s Q Test) (139 Patients).
Analysis: Cochran’s Q TestCox Regression (60 Patients).
Simple Cox Regression
Multiple Cox Regression.Cox Regression with Time-dependent Variables (60 Patients)
Simple Cox Regression
Cox Regression with Time-dependent Variables.Validating Qualitative Diagnostic Tests (575 Patients).
Validating the Qualitative Diagnostic Test.Validating Quantitative Diagnostic Tests (17 Patients)
Validating Quantitative Diagnostic TestReliability Assessment of Qualitative
Diagnostic Tests (17 Patients)
Analysis: Calculate Cohen’s Kappa.Reliability Assessment of Quantitative
Diagnostic Tests (17 Patients)
Intraclass Correlation for Reliability Assessment
of Diagnostic Battery.Final Remarks