Bundle of four courses (Basic SPSS, Advanced SPSS, Sample size and Systematic Review with Meta analysis)

What Will You Learn?

• Core concepts of statistics including data, identifying types of variables, practical and minor details of hypothesis testing, statistical errors, normal distribution.
• Easy explanations of parametric and non parametric tests of significance
• Developing expertise in detecting the statistical tests for the study based on variables
• Basic operations of SPSS like data entry, data processing, calculating frequency, descriptives, computing variables, recoding variables, splitting file, saving output sheet.
• Applying basic tests like Chi square test, Mc Nemar’s test, Independent t test, Paired t test, Wilcoxon Sign Rank test and Mann Whitney test
• ANOVA, Correlation and Regression
• Practical aspects of Multivariate ANOVA, N way ANOVA (Factorial ANOVA) and ANCOVA.
• Concept of scatter plots and different types of correlations, linear regression and logistic regression.
• Application of tests in SPSS with interpretation of output sheet.
• Formation of regression equation.
• Interpretation of odds ratio
• Basic operations of GPOWER software
• Sample size calculation is shown with practical examples for each test
• Top to bottom of Systematic Literature review with examples starting with formulation of research question, writing introduction part, framing title of the review, writing abstract, detailed tips and tricks of methodology including PICO method, information sources, search strategy, study selection and data extraction
• Risk of bias assessment using automation tool
• Concepts of meta analysis, effect measures for different types of study and its interpretation, forest plots and its interpretation, fixed and random effect methods and Performing meta analysis with SPSS