Research project in management, part 2

Faculty: dr hab. Adam Sagan

Objectives:

The course address the issues in writing doctoral thesis in Economics and Management. The course address the issues in writing doctoral thesis in Management and Economics. The main objective is to provide:

  1. advanced quantitative knowledge concerning contemporary research methodology based on holistic construal approach,
  2. basic steps in scale development and assessment of its reliability and validity,
  3. introduction to causal research in management sciences
  4. contemporary view on SEM approach to data analysis,
  5. experimental design in management

Required texts/readings

50% of the readings should be devoted to contemporary research in the field described in the doctoral course title

  1. Bagozzi, R., Structural Equation Models in Experimental Research, Journal of Marketing Research, 1977/14
  2. Bollen, K., Latent Variables in Psychology and Social Sciences, Annual Review in Psychology 2002/53, s. 605-634
  3. Churchill, Jr. G.A. A Paradigm for Developing Better Measures of Marketing Constructs," Journal of Marketing Research, 1979/ XVI (February), pp. 64-73.
  4. Cleland, C., Methodological and Epistemic Differences between Historical Science and Experimental Science, Philosophy of Science 2002/69, s. 474-496
  5. Cortina,, J.M., What is Coefficient Alpha? An Examination of Theory and Applications, Journal of Applied Psychology, 1993/78, s. 98-104
  6. Gefen, D., D.W. Straub, M.C., Bourdreau, Structural Equation Modeling and Regression: Guideliness for Research Practice, Communications of the Associations for Information Systems, 200/4
  7. Golafshani, N., Understanding Reliability and Validity in Qualitative Research, The Qualitative Report, 2003/4, s. 597-607
  8. Heise, D.R., Causal Analysis, Wiley&Sons 1975
  9. Muthen, B., Latent Variable Mixture Modeling, w: G.A. Marcoulides, R.E., Schumacker, New Developments and Techniques in Structural Equation Modeling, Erlbaum 2001
  10. Rust, R.T.,B. Cooil, Reliability Measures for Qualitative Data, Theory and Implication, Journal of Marketing Research, 1994/Feb, 31
  11. Ryals, L., H. Wilson, Experimental Methods in Market Research, International Journal of Market Research, 2005/4, s. 347-367
  12. Schermelleh-Engel, K., H. Moosbrugger, Evaluating the Fit of Structural Equation Models: Test of Significance and Descriptive Goodness-of-Fit Measures, Methods of Psychological Research Online 2003/2, s.23-74

Course Requirements and evaluation

  1. Adequate preparation for, attendance and participation in the session.
  2. Final exam

Course schedule (10 hours)

Lecture 1

Duration: 2 hours
Literature/readings:

  1. G. A. Churchill, Jr. (1979), A Paradigm for Developing Better Measures of Marketing Constructs," Journal of Marketing Research, XVI (February), pp. 64-73.
  2. K. Bollen, Latent Variables in Psychology and Social Sciences, Annual Review in Psychology 2002/53, s. 605-634

Lecture 2

Duration: 2 hours
Literature/readings:

  1. J., M, Cortina,, What is Coefficient Alpha? An Examination of Theory and Applications, Journal of Applied Psychology, 1993/78, s. 98-104
  2. N. Golafshani, Understanding Reliability and Validity in Qualitative Research, The Qualitative Report, 2003/4, s. 597-607
  3. R.T. Rust, B. Cooil, Reliability Measures for Qualitative Data, Theory and Implication, Journal of Marketing Research, 1994/Feb, 31

Lecture 3

Duration: 2 hours

Literature/readings:

  1. D.R. Heise, Causal Analysis, Wiley&Sons 1975
  2. C. Cleland, Methodological and Epistemic Differences between Historical Science and Experimental Science, Philosophy of Science 2002/69, s. 474-496

Lecture 4

Duration: 2 hours

Literature/readings:

  1. D. Gefen, D.W. Straub, M.C., Bourdreau, Structural Equation Modeling and Regression: Guideliness for Research Practice, Communications of the Associations for Information Systems, 200/4
  2. Muthen, B., Latent Variable Mixture Modeling, w: G.A. Marcoulides, R.E., Schumacker, New Developments and Techniques in Structural Equation Modeling, Erlbaum 2001
  3. K. Schermelleh-Engel, H. Moosbrugger, Evaluating the Fit of Structural Equation Models: Test of Significance and Descriptive Goodness-of-Fit Measures, Methods of Psychological Research Online 2003/2, s.23-74

Lecture 5

Duration: 2 hours

Literature/readings:

  1. L. Ryals, H. Wilson, Experimental Methods in Market Research, International Journal of Market Research, 2005/4, s. 347-367
  2. R., Bagozzi, Structural Equation Models in Experimental Research, Journal of Marketing Research, 1977/14

Total: 10 hours     

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