Registration is open for the Online Workshop. 

Practical Training in Univariate and Bivariate Analysis with SPSS

A comprehensive overview of the basic concepts and techniques used in analyzing data using SPSS software

Join Us for 'Practical Training in Univariate and Bivariate Analysis with SPSS'The one-week online workshop, titled "Practical Training in Univariate and Bivariate Analysis with SPSS," offers an extensive curriculum aimed at providing participants with a comprehensive understanding of fundamental statistical concepts and their practical application using the SPSS software. The structured curriculum, organized over 7 days, covers a wide range of statistical techniques essential for data analysis.

ABOUT Online Workshop

Join our Online Workshop titled "Practical Training in Univariate and Bivariate Analysis with SPSS," offers an extensive curriculum aimed at providing participants with a comprehensive understanding of fundamental statistical concepts and their practical application using the SPSS software. The structured curriculum, organized over six days, covers a wide range of statistical techniques essential for data analysis. Each day focuses on specific topics: Day 1: Foundation: Introduction to statistics and familiarization with SPSS for data management. Day 2: Exploratory Data Analysis: Graphical representation, descriptive statistics, and distribution analyses. Day 3: Hypothesis Testing and Bivariate Analysis: Understanding various statistical tests and measures. Day 4: Correlation and Regression: Exploring correlation, simple and multiple regression, and their diagnostics. Day 5: Parametric Tests: T-tests, ANOVA, and ANCOVA for comparing means and variance. Day 6: Advanced Analysis: MANOVA, MANCOVA, and non-parametric tests for complex data analysis.

This workshop is designed to equip participants with a solid foundation in statistical analysis and the practical skills required to navigate and interpret data effectively using SPSS software. With a balanced mix of theoretical understanding and hands-on application, participants can expect to gain a versatile skill set in statistical analysis by the workshop's end.

  • 1. Introductory Statistics: Data types, Measures of Central Tendency
  • 2. SPSS Environment: Data View; Variable View
  • 3. Data Management: Preparation, Select and Split File, Computation & Transformation, Code and Recode.
  • 1. Exploratory Data Analysis
  • 2. Graphical Representation of Data: Histogram, Bar Plot, Line Plot, Pie chart, Scatter Plot
  • 3. Descriptive Statistics
  • 4. Measures of Variability, Shape, and Size of Data
  • 5. Normal Distribution, Binomial Distribution and Poisson Distribution
  • 6. Normality tests of data with plot
  • 1. Cross tabulation with Chi-Square Test
  • 2. Phi
  • 3. Cramer’s V
  • 4. Eta
  • 5. Kappa
  • 6. Relative Risk
  • 7. Kendalls Tau
  • 8. McNemar Test
  • 1. Correlation (Simple & Multiple) and its diagnostics
  • 2. Linear Regression (Simple & Multiple) and its diagnostics
  • 1. t-test (One Sample, Paired Sample & Independent Samples)
  • 2. ANOVA
  • 3. ANCOVA
  • 4. MANOVA (One Way and Two-way)
  • 5. MANCOVA (One Way and Two-way) and Repeated Measure
  • 1. Mann Whitney U test
  • 2. Wilcoxon sign rank test
  • 3. One sample run test
  • 4. Kruskal-Wallis Test
  • 1. Assignment
  • 2. Visualizing and Reporting the Findings
  • 3. Certificate distribution

For India

₹ 1999

For other countries

$ 30

Purchase

Primary Trainer

The workshop is privileged to have Dr. Baidyanath Pal as the primary resource person. Dr. Pal's academic journey is a testament to his dedication and expertise in the field of statistics. With an MSc. in Mathematics and a Ph.D. in Statistics, his foundational knowledge is robust and comprehensive. His tenure as an Associate Scientist - C at the revered Indian Statistical Institute (ISI) in Kolkata showcases his dedication to both academia and research, emphasizing his authority in the realm of statistics. Dr. Pal's expertise traverses various intricate domains within statistics, including Biological Anthropology, Factor Analysis, Statistical Analysis, PASW Statistics, and Anthropometric Analyses. His proficiency extends beyond theoretical understanding, encompassing a practical mastery of software tools such as SPSS, AMOS, STRATA, R, and Python. This breadth of knowledge is a testament to his versatile approach to statistical analysis, grounded in both traditional methodologies and contemporary technological applications. Moreover, Dr. Pal's contributions to international peer-reviewed journals are extensive and noteworthy. His publications not only highlight his authority in the field but also emphasize his ability to communicate complex statistical concepts effectively, contributing to the wider academic discourse. As the lead resource person for this workshop, Dr. Baidyanath Pal's guidance promises an in-depth exploration of statistical techniques, practical software applications, and a nuanced understanding of statistical analysis, all underpinned by his extensive experience, scholarly contributions, and a passion for imparting knowledge.

Trainer

Who Is This Program for

Research Scholars

Research scholars will benefit greatly from attending this program as it will equip them with the necessary skills to conduct robust univariate and bivariate analysis using SPSS, enhancing the quality and validity of their research findings.

Professors/Professionals 

Professors who teach and guide research scholars can benefit from this program by gaining a comprehensive understanding of univariate and bivariate analysis with SPSS, enabling them to better mentor their students and provide expert guidance.

Graduates and Postgraduates

Graduates and postgraduates pursuing research or thesis projects will find this program beneficial in developing their data analysis skills and effectively utilizing SPSS for univariate and bivariate analysis.

Data Analysts

Professionals working in the field of data analysis can enhance their expertise by attending this program, as it provides a focused and practical approach to univariate and bivariate analysis using SPSS.

Why This Program 

Enhanced data analysis skills

Develop a strong understanding of univariate and bivariate analysis techniques using SPSS, enabling you to analyze data with confidence.

Practical application

Gain hands-on experience working with real-world datasets using SPSS software, strengthening your ability to apply analysis techniques effectively.

Improved research capabilities

Acquire the skills and knowledge necessary to conduct robust statistical analysis for research projects, leading to more accurate and reliable results.

Effective interpretation and reporting

Learn how to interpret and communicate analysis findings in a clear and concise manner, enhancing the quality and impact of research publications.

Increased publication success

Receive expert guidance on preparing and publishing analysis results in international peer-reviewed journals, increasing the likelihood of successful publication.

Professional growth and recognition

By mastering univariate and bivariate analysis with SPSS, you can enhance your expertise as a researcher, contributing to your professional growth and recognition in the academic community.

FAQs 

  What is the duration of the program?

The program is designed to be completed within one week, allowing participants to gain a comprehensive understanding of univariate and bivariate analysis with SPSS in a focused and efficient manner. 

  Is any prior knowledge of SPSS required to attend this program?

No, prior knowledge of SPSS is not required. The program starts with a comprehensive overview of the basic concepts and techniques used in analyzing data using SPSS, making it accessible to participants with varying levels of familiarity with the software.

Will I have hands-on practice with SPSS during the program?

Yes, the program includes hands-on practice sessions where participants will work with real-world datasets using SPSS. This practical training will enhance your understanding and proficiency in using SPSS for univariate and bivariate analysis.

Are there any prerequisites for attending this program?

There are no specific prerequisites for attending this program. However, a basic understanding of statistical concepts and research methods will be beneficial for better comprehension of the material covered.

Will I receive a certificate upon completion of the program?

Yes, participants who successfully complete the program will receive a certificate of completion, recognizing their achievement and the skills acquired in univariate and bivariate analysis with SPSS.

How will this program help me in publishing my research in international peer-reviewed journals?

This program will equip you with the necessary skills to conduct rigorous data analysis using SPSS, ensuring the accuracy and reliability of your research findings. By mastering univariate and bivariate analysis techniques and interpreting the results effectively, you will be better positioned to prepare and publish research papers in international peer-reviewed journals.

Can I access the program materials and resources after the program ends?

Yes, participants will have continued access to the program materials and resources even after the program ends. This will allow you to review the content, reinforce your learning, and refer back to the materials when needed.