DEM5200EN - Analysis of survey and population data

Course description

This course introduces students to the concept of assessing data, and analysis of survey and population data. Student will be able to do simple analysis, provide graphical representations of analysis and interpret results of analyses

How this course benefits students

missional leaders need to be familiar with more robust measures of data analysis and be able to provide and interpret tabular and graphical results of more refined analysis.

Why this course is important

missional leaders need to have a good understanding of their population being served in order to provide essential spiritual needs

Credit hours
3 hours
Subject area
Demographic Studies
Educational level
Master
Learning type
Instructional
Prerequisites
None
Upcoming terms
Pending
* Schedule subject to change. Please contact the Registrar's office with schedule questions.
Professor
Dr. Nicholas Cofie, Professor of Global Health

How this course relates to missional core values

Biblically based

Missional demographers need to utilize this knowledge to assess population on the mission field and provide spiritual assistance as needed.

Missionally driven

Students will be encouraged to analyze simple data and interpret results of analysis and may be asked to use this information to write a report of recommendations for both spiritual, economic, and social advancement of their population.

Contextually informed

The course will provide students with the contextual knowledge of population data as it relates to diverse communities and use this knowledge to identify needs and proffer effective solution

Interculturally focused

An understanding of data analysis will help Christian missional leaders serve diverse cultures and races better.

Practically minded

Students will become familiar with data analysis, measures of health status, and will be able to describe key demographic characteristic of their population

Experientially transformed

Students will be engaged to conduct descriptive analysis of population data while encouraging critical thinking in interpretation of results