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Quantitative Data Management and Analysis with SPSS course

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Course content

  •          Introduction
  •          Defining Variables
  •          Variable Recoding
  •          Dummy Variables
  •          Selecting Cases
  •          File Splitting
  •          Data Weighting
  •          Creating Charts in SPSS
  •          Column Charts
  •          Line Charts
  •          Scatterplot Charts
  •          Boxplot Diagrams
  •          Simple Analysis Techniques
  •          Frequencies Procedure
  •          Descriptive Procedure
  •          Explore Procedure
  •          Means Procedure
  •          Crosstabs Procedure
  •          Assumption Checking. Data Transformations
  •          Checking for Normality - Numerical Methods
  •          Checking for Normality - Graphical Methods
  •          Detecting Outliers - Graphical Methods
  •          Detecting Outliers - Numerical Methods
  •          Detecting Outliers - How to Handle the Outliers
  •          Data Transformations
  •          One-Sample Tests
  •          One-Sample T Test - Introduction
  •          One-Sample T Test - Running the Procedure
  •          Introduction to Binomial Test
  •          Binomial Test with Weighted Data
  •          Chi Square for Goodness-of-Fit
  •          Chi Square for Goodness-of-Fit with Weighted Data
  •          Pearson Correlation - Introduction
  •          Pearson Correlation - Assumption Checking
  •          Pearson Correlation - Running the Procedure
  •          Spearman Correlation - Introduction
  •          Spearman Correlation - Running the Procedure
  •          Partial Correlation - Introduction
  •          Chi Square For Association
  •          Chi Square For Association with Weighted Data
  •          Loglinear Analysis - Introduction
  •          Loglinear Analysis - Hierarchical Loglinear Analysis
  •          Loglinear Analysis - General Loglinear Analysis
  •          Tests for Mean Difference
  •          Independent-Sample T Test - Introduction
  •          Independent-Sample T Test - Assumption Testing
  •          Independent-Sample T Test - Results Interpretation
  •          Paired-Sample T Test - Introduction
  •          Paired-Sample T Test - Assumption Testing
  •          Paired-Sample T Test - Results Interpretation
  •          One-Way ANOVA - Introduction
  •          One-Way ANOVA - Assumption Testing
  •          One-Way ANOVA - F Test Results
  •          One-Way ANOVA - Multiple Comparisons
  •          Two-Way ANOVA - Introduction
  •          Two-Way ANOVA - Assumption Testing
  •          Two-Way ANOVA - Interaction Effect
  •          Two-Way ANOVA - Simple Main Effects
  •          Three-Way ANOVA - Introduction
  •          Three-Way ANOVA - Assumption Testing
  •          Three-Way ANOVA - Third Order Interaction
  •          Three-Way ANOVA - Simple Second Order Interaction
  •          Three-Way ANOVA - Simple Main Effects
  •          Three-Way ANOVA - Simple Comparisons
  •          Multivariate ANOVA - Introduction
  •          Multivariate ANOVA - Assumption Checking
  •          Multivariate ANOVA - Result Interpretation
  •          Analysis of Covariance (ANCOVA) - Introduction
  •          Analysis of Covariance (ANCOVA) - Assumption Checking
  •          Analysis of Covariance (ANCOVA) - Results Intepretation
  •          ANOVA - Introduction
  •          ANOVA - Assumption Checking
  •          ANOVA - Results Interpretation
  •          ANOVA - Introduction
  •          ANOVA - Assumption Checking
  •          ANOVA - Interaction

Outline

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Foscore Development Center(FDC-K) is a global training and consulting firm that has been serving leading businesses in many countries. We specialise in capacity building and talent development solutions for individuals and organisations, through our highly customised courses and experienced consultants, in a wide array of disciplines.
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