Statistical Methods for Practice and Research

This book is designed to help the managers and researchers in solving statistical problems using SPSS and to help them understand how they can use various statistical tools for their own research problems. SPSS is a very powerful and user friendly computer package for data analyses. It can take data from most other file-types and generate tables, charts, plots, and descriptive statistics, and conduct complex statistical analyses. This book will help students, business managers, academics as well as practicing researchers to solve statistical problems using the latest version of SPSS (16.0). After providing a brief overview of SPSS and basic statistical concepts, the book covers: Descriptive statistics t-tests, chi-square tests, and ANOVA Correlation analysis Multiple and logistics regression Factor analysis and testing scale reliability Advanced data handling

Introduction to SPSS:
Starting SPSS
SPSS Main Menus
Working with the Data Editor
SPSS Viewer
Importing and Exporting Data
Basic Statistical Concepts:
Research in Behavioral Sciences
Qualitative Research
Quantitative Research
Types of Variables
Qualitative Variables
Quantitative Variables
Reliability and Validity
Assessing Reliability
Assessing Validity
Hypothesis Testing
Type I and Type II Errors
Significance Level (p-value)
One-Tailed and Two-Tailed Tests
Summarizing Data: Descriptive Statistics:
Basic Concepts
Measures of Central Tendency
Measures of Variability
Percentiles, Quartiles and Interquartile Range
Skewness
Kurtosis
Using SPSS
Descriptive Statistics
Frequencies
Tables
Comparing Means: One or Two Samples t-Tests:
Basic Concepts
t-test and z-test
One Sample t-test
Independent Samples t-test
Dependent (Paired) Samples t-test
Using SPSS
One Sample t-test
Independent Samples t-test
Dependent Samples t-test
Comparing Means: Analysis of Variance:
Basic Concepts
ANOVA Procedure
Factors and Covariates
Between, Within and Mixed (Between-Within) Designs
Main Effects and Interactions
Post-Hoc Multiple Comparisons
Contrast Analysis
Using SPSS
One-Way Between-Groups ANOVA
Unplanned and Planned Comparisons
Two-Way Between-Groups ANOVA
Chi-Square Test of Independence for Discrete Data:
Basic Concepts
Chi-Square Test of Independence
Contingency Tables
Using SPSS
Correlation Analysis:
Basic Concepts
Correlation Coefficient
Nature of Variables
Bivariate/al Correlation
Using SPSS
Bivariate Correlation
Partial Correlation
Multiple Regression
Basic Concepts
Regression Coefficient
R Values
Design Issues
Multiple Regression Types
Using SPSS
Standard Multiple Regression
Hierarchical Regression
Logistic Regression:
Basic Concepts
Logistic Regression Coefficients
Fit Indices
Design Issues
Logistic Regression Types
Using SPSS
Data Reduction and Scale Reliability: Factor Analysis:
Basic Concepts
Factor and Component
Exploratory and Confirmatory Factor Analysis
Extraction Factor Loadings
Rotation
Communalities
Eigenvalue and Scree Plot
Scale Reliability
Sample Size Considerations
Using SPSS
Factor Analysis
Scale Reliability
Advanced Data Handling in SPSS:
Sorting Cases
Merging Files
Aggregating Cases
Splitting Files
Selecting Cases
Recoding Values
Computing New Variables
Table of Contents provided by Ingram. All Rights Reserved.

What is included with this book?

The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

FREE SHIPPING

Amazon no longer offers textbook rentals. We do!

Statistical Methods for Practice and Research : A Guide to Data Analysis Using SPSS

Summary

Table of Contents

Supplemental Materials