The revised edition of Research Methods in Africana Studies is a major contribution to the discipline of Africana studies and social science involving people of African descent in general. The first edition was the first of its kind, offering instruction on how to conduct culturally relevant critical research on Africana communities in the American context, in addition to the African diaspora. The revised edition contains a collection of the most widely used theories and paradigms designed for exploring, explaining, and advancing Africana communities through science. The relevance, strengths, and weaknesses of every major method of data collection are explained as they relate to the lived experiences of the Black world. It stands alone as the only textbook that details empirical methods in the service of the collective advancement of Africana peoples.
Chapter 13: Quantitative Data Analysis
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QUANTITATIVE DATA ANALYSIS
People in Ancient Africa used notational marks on things like stones and bones in groups of fives and tens to indicate number systems. Ancient Kemetic (Egyptian) science moved beyond diagonal strokes grouped together; instead, single hieroglyphic symbols (Medu Neter) were used to represent numbers. Small symbols allowed the ancient Egyptians to understand more of the universe. These symbols allowed them to use numbers to survey land, prepare for floods, grow crops, build pyramids, and map the solar system. We know similar symbols today such as 1, 2, 3, 4, and 5. Quantitative data analysis refers to deriving meaning from numerical data collected during research. It involves numbers representing values that measure characteristics of research subjects or participants. These numbers help us understand the social universe. In this chapter we will explore different levels and approaches to quantitative data analysis. We will explore the data analysis techniques appropriate for data analysis based on how many variables are involved. Ultimately, we will explore how you go about making meaning of data through statistical analysis.
Statistics are the mathematical procedures that researchers use to produce numerical values for the purpose of summarizing and interpreting information. For instance, the National Urban League developed the Save Our Sons Diabetes Prevention Project (National Urban League, 2012). The program was designed to teach participating African American men how to recognize ← 333 | 334 → diabetes through workshops and other activities. The program also involved the men...