Quantitative Methods of Research – CJUS 745
CG • Section 8WK • 11/08/2019 to 04/16/2020 • Modified 07/28/2020
This course will introduce concepts and methods in descriptive and inferential statistics. The course is designed to provide students with the statistical background required for doctoral level applied research. Application of statistics and educational and human services research will be emphasized. Areas of study will include estimation, probability, variables, normal distribution, t-distribution, chi-square distribution, F-distribution, confidence intervals, hypotheses testing, and correlation. This course will provide the skills necessary to properly apply descriptive and inferential statistics by helping students understand the role of statistics in scientific research. Further, the assignments are designed to help students identify and implement the correct statistical procedure for a research question through data analysis using a computer (e.g., SPSS). Students will gain the requisite knowledge necessary to learn more complex statistical/research procedures and become more critical of various statistical presentations in academic journals and the mass media.
Due to the often-used nature of criminal justice research, it is important for the student in criminal justice practitioner and doctoral student to have an advanced understanding of statistics that aids in the description and interpretation of data in studies. This course is designed to give the student the resources to complete a quantitative study, if chosen, with an emphasis on the application of statistical knowledge rather than the theories.
Measurable Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Describe the terms and principles of quantitative data analysis.
- Illustrate estimation, probability, variables, normal distribution, t-distribution, chi-square distribution, F-distribution, confidence intervals, hypotheses testing, and correlation with given quantitative problems, using SPSS.
- Explain the relationship between inferential statistics and scientific research.
- Interpret data in academic journals, and explain how the researchers organized their studies.
- Construct a dataset for analysis using SPSS software.
- Discuss the importance of quantitative research in a Christian environment.
Textbook readings and lecture presentations/notes
Course Requirements Checklist
After reading the Course Syllabus and Student Expectations, the student will complete the related checklist found in Module/Week 1.
Discussion Board Forums (6)
Discussion boards are collaborative learning experiences. Therefore, the student is required to provide a thread in response to the provided prompt for each forum. Each thread must be at least 500-700 words and demonstrate course-related knowledge. In addition to the thread, the student is required to reply to two other classmates’ threads. Each reply must be at least 200-300 words. For each thread, you must support your assertions with at least 2 citations from sources such as your textbook, peer-reviewed journal articles, and the Bible. The thread and replies must follow 6th edition APA format. Please note, with any discussion board, there are formatting limitations. For example, Times New Roman and double-spacing are difficult, so that requirement may be waived. However the “spirit” of APA must be present with references, citations, and a readable 12-point font (Blackboard default is acceptable)
SPSS Assignments (8)
Each week, the student will complete exercises in SPSS, given in the course. Answers must be complete and thorough for full credit. Students may upload files in SPSS format for the instructor to grade in some weeks; and in other weeks, a screen shot may be uploaded, depending on the instructions.
Each exam will cover the Reading & Study material for the assigned module(s)/week(s). Some questions will be essay questions and some will be statistical questions that the student must solve. Each exam will be open-book/open-notes, and will contain 10-20 questions (depending on the number of parts to some of the statistical questions). Each exam will have a 4-hour time limit due to the nature of the composition of quantitative analysis learning.