Analyse your quantitative data

There are 4 steps to follow in the process of analysing your quantitative data: 1. preparing your numeric data for analysis (data cleaning); 2. getting your scales reliable and valid; 3. conducting the analysis; and 4. interpreting the results.

 

Analyse your quantitative data

There are 4 steps in the process of analyzing quantitative data. These steps are:

  1. Preparing your numeric data for analysis (data cleaning).
  2. Getting your scales reliable and valid
  3. Conducting the analysis
  4. Interpreting the results

 

  1. Preparing your numeric data for analysis (data cleaning).

Data cleaning (sometimes referred to as data screening) is the process of ensuring your data is tidy and ready to go before you conduct further statistical analyses. You must screen your data in order to ensure the data is useable, reliable, and valid for testing theories.

The following video helps you easily clean your data.

  1. Getting your scales reliable and valid

Before testing your theories, you should run some statistics (e.g. alpha Cronbach test and exploratory factor analysis) to make sure that your scales are reliable and valid, and thus have trusted results.

The following video help you getting your scales reliable and valid.

  1. Conducting analysis

In this stage you should be able to determine the statistical analyses that are required to test your hypotheses. You should also be able to run the analyses and to read the results. The following youtube channels help you understand and conduct the most important and common statistics.

After preparing your data, analyze it, and report it using tables and figures, give sense to your results by interpreting and discussing the numbers. Restate the general findings, compare the findings to past literature, mention the potential limitations of the study, and advance ideas that will extend the research in the future.

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