Published November 21, 2024 | Version 1
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Statistical Data Analysis and Visualization with SPSS

  • 1. ROR icon Zhejiang University
  • 2. ROR icon Nanjing University of Information Science and Technology
  • 1. Department of Environmental Sciences, Jahangirnagar University, Bangladesh
  • 2. Department of Agronomy, Patuakhali Science and Technology University, Bangladesh
  • 3. Department of Disaster Risk Management, Patuakhali Science and Technology University, Bangladesh
  • 4. Department of Environmental Science and Disaster Management, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Bangladesh
  • 5. ROR icon Jeonbuk National University
  • 6. ROR icon University of Dhaka
  • 7. ROR icon Dhaka International University

Description

Mastering SPSS: An In-Depth Guide to Statistical Analysis and Data Visualization

Harness the power of SPSS with this comprehensive resource meticulously designed for students, researchers, and professionals who want to improve their data analysis skills. This text provides a coherent and systematic exploration of the fundamental principles of computer data, statistical theory, and practical SPSS methods, making complex topics both understandable and applicable.

Key features of the book include

  1. Fundamentals of data and file types: Begin your exploration with a solid understanding of the nature of data, its various classifications, and the various file formats used.
  2. SPSS Basics and File Management: Gain a working knowledge of the basic features of SPSS, including importing Excel and text files and skillfully managing missing data.
  3. Statistical significance made simple: Gain an understanding of hypothesis testing, confidence intervals, and significance levels through hands-on examples.
  4. Key Statistical Techniques: Gain familiarity with concepts such as degrees of freedom, measures of central tendency (mean, median, mode), and variance assessment.
  5. Comprehensive T-Test and ANOVA Guide: Engage in an in-depth examination of one-tailed, two-tailed, independent-sample, and paired-sample t-tests, as well as ANOVA evaluations through methodical SPSS demonstrations.
  6. Advanced correlation and regression models: Examine Pearson and partial correlation coefficients, as well as linear and multiple regression analyses, and interpret R² values.
  7. Chi-Square Tests: Gain proficiency in chi-squared analysis for categorical data, supported by hands-on applications within SPSS. Professional Data Visualization: Develop compelling visual representations, from bar and pie charts to scatter plots and area plots. 

Gain editing and exporting techniques to enhance your presentations. In a user-friendly format, this text blends theoretical insights with practical SPSS skills, replete with examples, visuals, and step-by-step instructions for every major statistical test and analysis. Whether you are analyzing data for academic research, business initiatives, or personal education, this book provides you with the essential tools to navigate SPSS with confidence and articulate your findings with expertise.

Your definitive SPSS companion is at your fingertips-improve your data analysis skills today!

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