SPSS in Simple Steps

Description

SPSS in Simple Steps is very useful for all students, researchers and faculty members who need to analyze quantitative data in their research work. The objective of the book is to help the students and researchers to undertake statistical analysis using PASW / SPSS software package. It is designed to be read in front of the computer screen. The book commences with an introduction to the PASW / SPSS software and provides a step-by-step approach for explaining procedures and executing PASW / SPSS commands. It provides a clear understanding of commands, procedures and functions required for carrying out statistical analysis. The book covers basic and essential features of PASW/SPSS.

About the Author

Dr. Kiran Pandya obtained M.Phil degree from University of Poona

Table of Contents

Overview of PASW Statistics

Introduction to PASW

1.2 Menus

1.3 Tool Bar

1.4 Dialogue Box

1.5 Designate Window

1.6 Basic Steps for performing any Statistical Procedure

Data Management

2.1 Creating a Data File

2.2 Defining Variables

2.3 Entering the Data

2.4 Saving Data

2.5 Opening an existing Data File

2.6 Inserting Variables

2.7 Inserting Cases

2.8 Identifying Duplicate Cases

2.9 Identifying Unusual Cases

2.10 Sorting Cases

2.11 Merging a File

2.11.1 Add Cases

2.11.2 For Adding Variables

2.12 Data Aggregation

2.13 Splitting File

2.14 Selecting Cases

2.15 Listing Cases

Data Transformation

3.1 Computing a New Variable

3.2 Recoding Variables

3.3 Automatic Recode

3.4 Visual Binning

3.5. Rank Cases

Describing Data Numerically

4.1 Types of Measurement Scales

4.2 Summary Measures

4.2.1 Frequencies

4.2.2 Descriptive Statistics

4.2.3 Explore

4.2.4 Crosstabs

Describing Data Graphically

5.1 Line Chart

5.2 Pie Chart

5.3 Bar Chart

5.4 Histogram and the Standard Normal Curve

5.5 Box Plot

5.6 Scatter Diagram

5.7 P?P Plot

5.8 Q?Q Plot

5.9 Chart Builder

5.10 Formatting Charts

One Sample t?Test

6.1 Hypothesis Testing

6.1.1 Steps in Hypothesis Testing

6.1.2 Assumptions of Hypothesis Testing

6.2 Testing for Population Mean

6.3 Statistical and Practical Significance

Independent Sample t?Test

7.1 Assumptions of Independent Sample t?Test

7.2 Procedure for Testing for Differences in Means between Groups

7.3 Interpretation of Null Results

7.4 Effect Size

Paired Samples t?Test

8.1 Assumptions of Paired Samples t?Test

8.2 Procedure for Paired Sample t?test

One?Way ANOVA

9.1 Assumptions of One?Way ANOVA

9.2 Procedure for Testing for Differences in Means between Groups

9.3 Post Hoc Analysis

9.4 Procedure for undertaking Post Hoc Analysis

9.5 Measure of Association

One?Way Repeated Measures ANOVA

10.1 Assumptions of One?Way Repeated Measures ANOVA

10.2 Procedure for Undertaking One?Way Repeated Measures ANOVA

Two?Way ANOVA

11.1 Assumptions of two?way ANOVA

11.2 Procedure for Undertaking Two?Way ANOVA

Correlation

12.1 Assumptions of Correlations

12.2 Procedure for Undertaking Correlations

12.2.1 Bivariate Correlations

12.2.2 Rank Correlations

12.2.2 Partial Correlations

Multiple Regression

13.1 Assumptions of Linear Regression

13.2 Procedure for undertaking Linear Regression

Nonparametric Statistics

14.1 Runs Test

14.2 Chi?Square Test

14.3 Mann?Whitney U Test

14.4 Wilcoxon Signed Rank Test

14.5 Kruskal?Wallis Test

Logistic Regression

Reliability Analysis

Factor Analysis

17.1 Principal Components Method

17.2 Necessary Conditions for Undertaking Principal Component Analysis

17.3 Procedure for Undertaking Principal Component Analysis

Summary

Appendix-A Dataset for students.sav