8210WK4 ASSGN

1

Variables, Measurement, and SPSS

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Variables, Measurement, and SPSS

The Afro barometer dataset publishes valuable information regarding the issues that affect the continent, such as sociopolitical and economic development. It comprises a wide range of variables, which if counted, reach approximately 63 in number. Many factors can be taken into account when operationalizing the variables. They include “individual versus others’ living conditions” and how frequent one goes without a meal. Responses were gathered from participants to inform the assessment of the relationship between the variables identified. In particular, a total of 50000 responses were collected on the variables and analyzed. This variable had ordinal values since it is based on order ranking (Williams, 2020). The list below indicates the findings that were generated after comparing “individual versus others’ living conditions”.

Much Worse than Others:	8%
Worse than Others:	45.9%
Same as Others:	36.5%
Better than Others:	29.6%
Much Better than Others:	11.3%
Total:	93.7%
Total of Missing/Don't Know:	6.3%

Many types of responses were gathered after raising the question of “how often do you go without eating?” 50000 responses were collected to further investigate this research question. This variable also had an ordinal metric since it was based on ordering and ranking as shown below. Below are the results that were generated after quantifying this variable based on the responses that were collected.

Never		49%
Just Once or Twice:		15.4%
Several Times:	30.5%
Many Times:		14%
Always:		4%
Total:		92.4%
Total Missing/Don’t Know:		7.6%

Based on the above findings, this study further explored the views, feelings, and perceptions of the participants relating to their living conditions and hunger.

To achieve this objective, the performance of these factors were employed for living hunger and living conditions. The study found that two of the most commonly mentioned replies related to revealing that they had never gone hungry and never felt hungry. After assessing the two lowest percentages for hunger and living conditions, this study can conclude that they are better than the rest of the population. In order to gain valuable insights into individuals’ living conditions and quality of life and how regularly they have to go hungry, one can utilize such data for any type of correlation, causality, and statistical significance (Van Roekel & De Theije, 2020). Many strategies and techniques can be employed to enhance their living conditions by spearheading social change. Policymakers and researchers at community levels can, for instance, adopt programs geared towards reducing homelessness, economic empowerment, and job creation (Van Roekel & De Theije, 2020). These initiatives go a long way in reducing the hunger crisis and strengthening food security.

References

Van Roekel, E., & De Theije, M. (2020). Hunger in the land of plenty: The complex

humanitarian crisis in Venezuela. Anthropology Today, 36(2), 8-12.

Williams, R. A. (2020). Ordinal independent variables. SAGE Publications Limited.