Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS 1st Edition by Robert Ho ISBN 1584886021 9781584886020

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ISBN 10: 1584886021 
ISBN 13: 9781584886020
Author: Robert Ho

Many statistics texts tend to focus more on the theory and mathematics underlying statistical tests than on their applications and interpretation. This can leave readers with little understanding of how to apply statistical tests or how to interpret their findings. While the SPSS statistical software has done much to alleviate the frustrations of social science professionals and students who must analyze data, they still face daunting challenges in selecting the proper tests, executing the tests, and interpreting the test results.

With emphasis firmly on such practical matters, this handbook sets forth clear guidelines for performing specific statistical tests with SPSS and interpreting the output. The author clearly explains the purpose of each test and the research designs for which they are relevant, demonstrates the execution of the tests, and explains how to interpret the results obtained. The presentation covers not only the point-and-click Windowsä method of using SPSS, but also the syntax method, which provides users with the power and flexibility to deal with complex experimental designs. All chapters include the full SPSS output of the test being addressed and the step-by-step interpretation of the results. All of the data sets used in the examples along with the SPSS code are freely available for download at www.crcpress.com.

Armed with the knowledge, tools, and experience this handbook provides, social scientists, both student and professional, can maximize the utility of SPSS, choose the right statistical tests with confidence, and more accurately and appropriately interpret their results.

Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS 1st Table of contents:

• Getting Started with SPSS

  • Installation and Setup
  • Navigating the SPSS Interface
  • Importing and Exporting Data
  • Data Cleaning and Preparation

• Descriptive Statistics (Univariate Analysis)

  • Measures of Central Tendency (Mean, Median, Mode)
  • Measures of Dispersion (Variance, Standard Deviation)
  • Frequency Distribution
  • Data Visualization (Histograms, Boxplots)

• Hypothesis Testing (Univariate)

  • t-tests (One-Sample, Independent, Paired)
  • ANOVA (One-Way, Two-Way)
  • Non-parametric Tests (Chi-square, Mann-Whitney, etc.)

• Correlation and Regression (Univariate and Bivariate)

  • Pearson and Spearman Correlation
  • Simple Linear Regression
  • Assumptions of Regression Analysis
  • Model Diagnostics

• Exploratory Factor Analysis

  • Introduction to Factor Analysis
  • Factor Extraction Methods
  • Factor Rotation Techniques
  • Interpreting Factor Loadings

• Multivariate Analysis

  • Multivariate Normality
  • Multivariate Outliers and Influential Cases
  • Multivariate Analysis of Variance (MANOVA)
  • Canonical Correlation Analysis

• Cluster Analysis

  • Hierarchical Clustering
  • K-Means Clustering
  • Interpreting Cluster Results

• Discriminant Analysis

  • Understanding Discriminant Function Analysis
  • Assumptions of Discriminant Analysis
  • Interpreting Results

• Multidimensional Scaling and Correspondence Analysis

  • Multidimensional Scaling (MDS)
  • Correspondence Analysis (CA)

• Advanced Multivariate Techniques

  • Structural Equation Modeling (SEM)
  • Path Analysis
  • Generalized Linear Models (GLMs)

• Interpreting Results and Reporting Findings

  • Writing Reports for Research and Business Applications
  • Visualizing Multivariate Data
  • Best Practices in Presenting SPSS Output

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