Research and Presentation Methods in Business (IB)

The course presents the role, functions, principles and methods of contemporary business research with the focus on the survey method supplemented by exploratory qualitative techniques, including focus group and depth interviews. Of all the stages in the research process, special emphasis will be placed on the phase of problem definition, research design and data analysis with statistical software.

After completing the course students should be able to:

1. Define the adequate research problem for any given decision problem, decompose it into research questions and hypotheses, and prepare a graphical model of the research.

2. Select the right mix of qualitative and quantitative research techniques for effective and efficient gathering of required data.

3. Plan, conduct and analyze focus groups and depth interviews.

4. Design questionnaires for typical administering methods, target groups and research topics, using a wide array of multi-item scaling techniques.

5. Prepare a sampling plan.

6. Code survey questionnaires, enter raw data from paper-based survey into statistical software and prepare data for analysis including checking for possible errors and inconsistencies.

7. Conduct preliminary statistical analysis with computer software encompassing frequency distributions and descriptive statistics, bivariate associations between variables, comparing group means, and basic multiple linear regression.

8. Understand ethical issues pertinent to business research projects.

Literatura podstawowa:

1. Cooper D. R., Schindler P. S. (2014), Business Research Methods, 12th edition, McGraw-Hill, Irwin, USA.

2. Malhotra N. (2010), Marketing Research: An Applied Orientation, 6th Edition, Prentice Hall, USA.

Literatura uzupełniająca:

Mooi Erik, Sarstedt M. (2018), A Concise Guide to Market Research: The Process, Data and Methods Using IBM SPSS Statistics, 3rd edition, Springer Verlag, Heidelberg, Germany.

Evaluation criteria

Traditional Written Exam (Statistical analysis with SPSS): 50.00%

Multiple Choice Test (Test on research design theory.): 50.00%

Oral Exam: 0.00%

Test: 0.00%

Other: 0.00%

The threshold percentage of absences (excluding lectures)

defined as the proportion of class hours beyond which the achievement of learning outcomes is deemed unattainable: 40%

Detailed passing conditions:

Assessment for this course involves two exams. 50% of the final score is earned through a data analysis exam using SPSS that involves solving 3 to 5 statistical problems based on a dataset provided by the instructor. A further 50% of the score comes from an exam on research design theory, encompassing a set of multiple-choice and open-ended questions.

Successful course completion requires achieving a minimum overall score of 55% and separately attaining at least 55% in both assessment components.

Students with absences can get credit for the course by passing the regular assessment components and - in addition - writing an extra individual assignment determined by the instructor.

The course presents the role, functions, principles and methods of contemporary business research with the focus on the survey method supplemented by exploratory qualitative techniques, including focus group and depth interviews. Of all the stages in the research process, special emphasis will be placed on the phase of problem definition, research design and data analysis with statistical software.

After completing the course students should be able to:

1. Define the adequate research problem for any given decision problem, decompose it into research questions and hypotheses, and prepare a graphical model of the research.

2. Select the right mix of qualitative and quantitative research techniques for effective and efficient gathering of required data.

3. Plan, conduct and analyze focus groups and depth interviews.

4. Design questionnaires for typical administering methods, target groups and research topics, using a wide array of multi-item scaling techniques.

5. Prepare a sampling plan.

6. Code survey questionnaires, enter raw data from paper-based survey into statistical software and prepare data for analysis including checking for possible errors and inconsistencies.

7. Conduct preliminary statistical analysis with computer software encompassing frequency distributions and descriptive statistics, bivariate associations between variables, comparing group means, and basic multiple linear regression.

8. Understand ethical issues pertinent to business research projects.

Literatura podstawowa:

1. Cooper D. R., Schindler P. S. (2014), Business Research Methods, 12th edition, McGraw-Hill, Irwin, USA.

2. Malhotra N. (2010), Marketing Research: An Applied Orientation, 6th Edition, Prentice Hall, USA.

Literatura uzupełniająca:

Mooi Erik, Sarstedt M. (2018), A Concise Guide to Market Research: The Process, Data and Methods Using IBM SPSS Statistics, 3rd edition, Springer Verlag, Heidelberg, Germany.

Evaluation criteria

Traditional Written Exam (Statistical analysis with SPSS): 50.00%

Multiple Choice Test (Test on research design theory.): 50.00%

Oral Exam: 0.00%

Test: 0.00%

Other: 0.00%

The threshold percentage of absences (excluding lectures)

defined as the proportion of class hours beyond which the achievement of learning outcomes is deemed unattainable: 40%

Detailed passing conditions:

Assessment for this course involves two exams. 50% of the final score is earned through a data analysis exam using SPSS that involves solving 3 to 5 statistical problems based on a dataset provided by the instructor. A further 50% of the score comes from an exam on research design theory, encompassing a set of multiple-choice and open-ended questions.

Successful course completion requires achieving a minimum overall score of 55% and separately attaining at least 55% in both assessment components.

Students with absences can get credit for the course by passing the regular assessment components and - in addition - writing an extra individual assignment determined by the instructor.

The course presents the role, functions, principles and methods of contemporary business research with the focus on the survey method supplemented by exploratory qualitative techniques, including focus group and depth interviews. Of all the stages in the research process, special emphasis will be placed on the phase of problem definition, research design and data analysis with statistical software.

After completing the course students should be able to:

1. Define the adequate research problem for any given decision problem, decompose it into research questions and hypotheses, and prepare a graphical model of the research.

2. Select the right mix of qualitative and quantitative research techniques for effective and efficient gathering of required data.

3. Plan, conduct and analyze focus groups and depth interviews.

4. Design questionnaires for typical administering methods, target groups and research topics, using a wide array of multi-item scaling techniques.

5. Prepare a sampling plan.

6. Code survey questionnaires, enter raw data from paper-based survey into statistical software and prepare data for analysis including checking for possible errors and inconsistencies.

7. Conduct preliminary statistical analysis with computer software encompassing frequency distributions and descriptive statistics, bivariate associations between variables, comparing group means, and basic multiple linear regression.

8. Understand ethical issues pertinent to business research projects.

Literatura podstawowa:

1. Cooper D. R., Schindler P. S. (2014), Business Research Methods, 12th edition, McGraw-Hill, Irwin, USA.

2. Malhotra N. (2010), Marketing Research: An Applied Orientation, 6th Edition, Prentice Hall, USA.

Literatura uzupełniająca:

Mooi Erik, Sarstedt M. (2018), A Concise Guide to Market Research: The Process, Data and Methods Using IBM SPSS Statistics, 3rd edition, Springer Verlag, Heidelberg, Germany.

The course presents the role, functions, principles and methods of contemporary business research with the focus on the survey method supplemented by exploratory qualitative techniques, including focus group and depth interviews. Of all the stages in the research process, special emphasis will be placed on the phase of problem definition, research design and data analysis with statistical software.

After completing the course students should be able to:

1. Define the adequate research problem for any given decision problem, decompose it into research questions and hypotheses, and prepare a graphical model of the research.

2. Select the right mix of qualitative and quantitative research techniques for effective and efficient gathering of required data.

3. Plan, conduct and analyze focus groups and depth interviews.

4. Design questionnaires for typical administering methods, target groups and research topics, using a wide array of multi-item scaling techniques.

5. Prepare a sampling plan.

6. Code survey questionnaires, enter raw data from paper-based survey into statistical software and prepare data for analysis including checking for possible errors and inconsistencies.

7. Conduct preliminary statistical analysis with computer software encompassing frequency distributions and descriptive statistics, bivariate associations between variables, comparing group means, and basic multiple linear regression.

8. Understand ethical issues pertinent to business research projects.

Literatura podstawowa:

1. Cooper D. R., Schindler P. S. (2014), Business Research Methods, 12th edition, McGraw-Hill, Irwin, USA.

2. Malhotra N. (2010), Marketing Research: An Applied Orientation, 6th Edition, Prentice Hall, USA.

Literatura uzupełniająca:

Mooi Erik, Sarstedt M. (2018), A Concise Guide to Market Research: The Process, Data and Methods Using IBM SPSS Statistics, 3rd edition, Springer Verlag, Heidelberg, Germany.