| Course Learning Objectives (CLOs) | Program Learning Objectives |
| 1. Understand the difference between basic and applied business research and how research contributes to business success. Compare research methodology and differentiate among the types of reasoning in research design. Explain significance of research questions and their relationship to other components of design. Compare and contrast the basic attributes of qualitative and quantitative methods. | 1, 4, 5, 7, 8 |
| 2. Evaluate how a literature review is used to focus on a problem. Compare and contrast between populations, samples, and participants. Interpret the relationship between sampling techniques and research questions. Understanding considerations in determining ideal sample size. | 1, 4, 5, 7, 8 |
| 3. Perform a basic assessment of reliability and validity. Compare conceptual and practical differences between the quantitative and qualitative aspects of reliability and validity. Compare and contrast different types of instruments and the different methods of data collection and measurement, including observational methods. | 4, 5, 7, 8 |
| 4. Evaluate differences between independent, dependent, mediator, moderator, and confounding variables and assess the limitations of experimental and non-experimental research designs, the components of causality, defining attributes of single-subject, longitudinal, pre-experimental, quasi-experimental, and true experimental designs. | 1, 4, 5, 7, 8 |
| 5. Determine the various types of data and levels of measurement and appropriate analysis techniques for the different types of data. Explain the difference between descriptive and inferential statistics. Interpret hypotheses, null hypothesis testing, probability, statistical significance, alpha and p values and their application in hypothesis testing, standard error of the mean and sampling error; threats of researcher bias and reactivity. | 1, 4, 5, 6, 7, 8 |
| 6. Determine evaluation, and how it relates to the basic rules for writing theses, dissertations, and reports. | 1, 4, 5, 7, 8 |
| 7. Determine the key components and differences between qualitative research approaches, including ethnography, phenomenology, grounded theory, critical theory, case study, narrative inquiry, content analysis, and historical analysis. | 1, 2, 3, 5, 7, 8 |
| 8. Understand the difference between the methods of data collection and data coding using human subjects; including surveys, open-ended and closed-ended questions, direct interviews, and focus groups. Determine why the issues related to research using human participants is important to institutional review boards. | 1, 2, 3, 5, 7, 8 |
| Course Learning Objectives (CLOs) | Program Learning Objectives |
| 1. Understand the difference between basic and applied business research and how research contributes to business success. Compare research methodology and differentiate among the types of reasoning in research design. Explain significance of research questions and their relationship to other components of design. Compare and contrast the basic attributes of qualitative and quantitative methods. | 1, 4, 5, 7, 8 |
| 2. Evaluate how a literature review is used to focus on a problem. Compare and contrast between populations, samples, and participants. Interpret the relationship between sampling techniques and research questions. Understanding considerations in determining ideal sample size. | 1, 4, 5, 7, 8 |
| 3. Perform a basic assessment of reliability and validity. Compare conceptual and practical differences between the quantitative and qualitative aspects of reliability and validity. Compare and contrast different types of instruments and the different methods of data collection and measurement, including observational methods. | 4, 5, 7, 8 |
| 4. Evaluate differences between independent, dependent, mediator, moderator, and confounding variables and assess the limitations of experimental and non-experimental research designs, the components of causality, defining attributes of single-subject, longitudinal, pre-experimental, quasi-experimental, and true experimental designs. | 1, 4, 5, 7, 8 |
| 5. Determine the various types of data and levels of measurement and appropriate analysis techniques for the different types of data. Explain the difference between descriptive and inferential statistics. Interpret hypotheses, null hypothesis testing, probability, statistical significance, alpha and p values and their application in hypothesis testing, standard error of the mean and sampling error; threats of researcher bias and reactivity. | 1, 4, 5, 6, 7, 8 |
| 6. Determine evaluation, and how it relates to the basic rules for writing theses, dissertations, and reports. | 1, 4, 5, 7, 8 |
| 7. Determine the key components and differences between qualitative research approaches, including ethnography, phenomenology, grounded theory, critical theory, case study, narrative inquiry, content analysis, and historical analysis. | 1, 2, 3, 5, 7, 8 |
| 8. Understand the difference between the methods of data collection and data coding using human subjects; including surveys, open-ended and closed-ended questions, direct interviews, and focus groups. Determine why the issues related to research using human participants is important to institutional review boards. | 1, 2, 3, 5, 7, 8 |
