The Summer Academic Enrichment Program (SAEP) curriculum is designed to develop analytical, writing and oral communication skills
through Communications, Research Methods and Intermediate Statistical Methods and
Computing courses. Participants take the three courses during the five-weeks that
the program lasts.
APPROACHES TO TRANSFORMATIVE INTERDISCIPLINARY RESEARCH AND WRITING
This course introduces students to select topics that render the generative potential of transformative interdisciplinary research and writing. The critical role and relationship between cultural production and representation, race, gender, generation, class, ethnicity, sexuality, citizenship, memory, immigration/migration, and nation are explored to expand students’ understanding of how to conduct and write their research with interdisciplinary sensibilities in place. Students will read and assess course assigned texts and primary sources to advance their grasp of the promise behind original interdisciplinary research and writing.
The objective of this course is to introduce the theories, principles, and methods of conducting quantitative and qualitative research in the social sciences and other related disciplines. In addition, the course will acquaint students with general issues involved in conducting research, including-ethics, validity reliability, and instrument construction. Research methods components covered in this course will include: a literature review, formulation of research questions, statement of hypotheses, selection of subjects, research design, and data collection methods. Students will generate and develop their own research interests [within the general areas of Education, Political Participation, and Health] and produce an original research proposal in their field of specialization.
STATISTICS AND COMPUTATIONAL ANALYSIS
The purpose of this course is to help participants develop a conceptual understanding of statistics and how statistical procedures are used in research. The focus of our attention will be on the types of statistics commonly found in social science research. In this regards, we will treat the following statistical methods: exploratory and descriptive statistics, the chi-square statistic, correlation and regression, as well as multiple correlation and regression. In our work in these areas, we will often be using real data sets to show the value of statistics for analyzing information. Our data sets will be from the fields of education, political participation, and health. The analysis of data will require both hand and computer calculations. Regarding the computer we will focus on the use of the Statistical Package for the Social Sciences (SPSS) program.