Discuss three (3) operational procedures or veritable guide for quantitative analysis of data in Political Science

Data Collection: The first step in quantitative analysis in Political Science is data collection. This involves gathering relevant data that will be used for the study. The data can be collected through various means such as surveys, interviews, or from secondary sources like government publications, reports, and online databases. The data collected should be relevant to the research question and should be reliable and valid.

Data Coding and Entry: After the data has been collected, the next step is data coding and entry. This involves assigning numerical values or codes to the responses collected in the survey or interview. For example, if a survey question asks respondents to rate their level of trust in the government on a scale of 1 to 5, each response will be assigned a numerical value from 1 to 5. After coding, the data is then entered into a statistical software for analysis.

Data Analysis: The final step in quantitative analysis is data analysis. This involves using statistical techniques to analyze the data and draw conclusions. The type of analysis used will depend on the research question and the type of data collected. For example, if the research question is about the relationship between two variables, correlation or regression analysis might be used. If the research question is about differences between groups, t-tests or ANOVA might be used. The results of the analysis should be interpreted in the context of the research question and the existing literature in Political Science.