Data Analysis Methods useful for HRP

What is the meaning of analysis?

By analysis we mean the computation of indices or measures along with searching for patterns of relationships that exist among the data groups. The analysis may be categorized as descriptive analysis and inferential analysis (a.k.a statistical analysis). 

Descriptive Statistics

Typically descriptive statistics (also known as descriptive analysis) is the first level of analysis. It helps researchers summarize the data and find patterns. A few commonly used descriptive statistics are:

  • Mean: numerical average of a set of values.
  • Median: midpoint of a set of numerical values.
  • Mode: most common value among a set of values.
  • Percentage: used to express how a value or group of respondents within the data relates to a larger group of respondents.
  • Frequency: the number of times a value is found.
  • Range: the highest and lowest value in a set of values.

Descriptive statistics provide absolute numbers. However, they do not explain the rationale or reasoning behind those numbers. Before applying descriptive statistics, it’s important to think about which one is best suited for your research question and what you want to show. For example, a percentage is a good way to show the gender distribution of respondents.

Descriptive statistics are most helpful when the research is limited to the sample and does not need to be generalized to a larger population. For example, if you are comparing the percentage of children vaccinated in two different villages, then descriptive statistics is enough.

Since descriptive analysis is mostly used for analyzing single variable, it is often called univariate analysis.

Hence, we can conclude that descriptive analysis methods can be used by the students of BHM in their project.

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

%d bloggers like this:
Skip to toolbar