Research Methods: Data Analysis (ENG -421): Course Outline (ENG-421)

Apply SPSS for quantitative data analysis for their thesis

Apply NVIVO for qualitative data analysis for their thesis

Unit I: Introduction to software for language analysis

• Introduction to Computational Linguistics
• Common software for text mining and analysis

Unit II: Getting Started with SPSS

• Introduction
• Understanding what a dataset is
• Opening an existing dataset in SPSS
• Creating your own dataset
• Preparing variables and the dataset for analysis
• Analyzing relationships between two variables
• Types of relationship (Co-relation, Association, Causality)
• Analyzing trends over time

Unit III: Exploring, displaying, and summarizing data

• Different types of variable
• Displaying and summarizing scale variables
• Displaying and summarizing nominal and ordinal variables
• Descriptive statistics (Mean, Median, Mode, SD)

Unit IV: Good practice in presenting findings

• Generating and editing tables in SPSS
• Generating and editing charts in SPSS

Unit V: Parametric Techniques for Data Analysis

• The t-test for means
• Analysis of Variance (ANOVA)
• Analysis of Covariance (ANCOVA)
• The t-test 
• The Effect sizes

Unit VI: Non-parametric Techniques

• The Mann-Whitney U test
• Wilcoxon test
• The Kruskal-Wallis
• The Effect Sizes

Unit VII: Non-Parametric Techniques for Analyzing Categorical Data

• The Chi-Square test
• The Effect Size Phi

Unit VIII: Qualitative Research with “NVIVO” Software

• Coding
• Themes
• Mapping
• Shaping findings into models and relationships

Unit IX: Assumptions of Data Analysis with Computer

Teaching will be done through the lecture method with a combination of tasks/projects and presentations

Assessment will be done as per university/department policy.