Data analysis

Introduction

In the previous section we dealt with the procedures involved in data acquisition, collection, entry and management. This section deals with the quantitative analysis of such collected data. This will be done using the Jamovi software, downloadable from here.

Content

This section will discuss the following:

  • Data cleaning and migration
  • Descriptive statistics
    • Numeric variables
    • Categorical variables
  • Inferential statistics
    • Single numeric variables
    • Single categorical variables
    • Two categorical variables
    • Two numeric variables
    • A categorical and continuous variables

Jamovi

The Jamovi is a free, open source graphical user interface for the R programming language. it is relatively new but has quickly gained the status of being easy to use and yet very versatile. Jamovi is used in the performing a wide range of analysis. These range from determining one sample confidence intervals, T-test, ANOVA, linear regression, mixed models to Bayesian models. The insert below is a screenshot from the Jamovi software.

Jamovi

Figure 1: Jamovi Interface