Faculty
Assistant Professor Wencke Gwozdz and Associate Professor Charles T. Tackney

Course Coordinator
Assistant Professor Wencke Gwozdz

Participants must be enrolled as Ph.D. students in an institution of tertiary education

Participants are not allowed to have more than 10 percent non-attendance at the course

Doctoral students face a range of challenges concerning empirical methods. We first survey registered students to learn more about their particular research interests and perceived skilling needs, and adjust the specific quantitative methods content of the course to ensure instruction and practical application of appropriate quantitative research methods.

Assess the perceived quantitative methods skills and needs of doctoral students that participate in the course. Then,

Introduce and train students in the targeted statistical tools within a pedagogic context of a general empirical method that recognizes the complementarity between qualitative and quantitative methods. So that,

Students will be better prepared for the particular challenges they immediately face as well as any future methods issue that may arise in the course of a post-doctoral career that involves organizational and management research.

1. An Introduction to General Empirical Method:

- History, Culture, and Science and the Role of Critical Realism for Research Insight.

- Classical and Statistical Heuristic Structures

- Complementarity Among and Between Insight, Heuristic Structures, and the Research Field

2. Statistical Procedures of Interest (Content will vary to a degree, depending on pre-course student survey data).

a) A Session of Review and/or Remediation:

Statistics as description, Statistics for inference, how these differ: the normal istribution and the Central Limit Theorum.

b) Introduction of SPSS (enter data, clean data, writing procedures).

c) Estimation and explanation of statistical models (regression analyses, Logit, ANOVA, Factor analysis, as indicated and to the depth needed)

d) Interpretation of results

e) Class discussions and/or individual sessions on the application of quantitative methods to individual research questions.

At the end of the course, doctoral students should be able to:

a. know and understand the historical and cultural contexts within which contemporary research methods function.

b. specify the complementarities of qualitative and qualitative research within the general empirical method.

c. know the quantitative approaches appropriate to their specific research interests.

d. use statistical packages needed for their doctoral research needs.

e. evidence a nuanced ability to consider empirical research questions in organizational and management studie, so they may

f. better understand empirical literature, with a view to improving critical reading ability, in order to

g. suggest appropriate quantitative methods to address any range of research questions.

Lecture plan

Time/period	Faculty	Title
9 May 2010: 11.15-13.15	Charles T. Tackney	Session 1: An Overview of the Place of Quantitative Studies in General Empirical Method
9 May 2010: 14.15-15.45	Wencke Gwozdz	Session 2: Descriptive statistics and introduction to SPSS (hands on)
9 May 2010: 16.00-17.00	Wencke Gwozdz with Charles T. Tackney	Session 2: Introduction to SPSS (hands on) – continued
10 May 2010: 09.00-10.30	Wencke Gwozdz	Session 3: A Session of Review and/or Remediation
10 May 2010: 10.45-12.15	Wencke Gwozdz	Session 4: Explanation of statistical models
10 May 2010: 13.15-15.00	Wencke Gwozdz with Charles T. Tackney	Session 5: Estimation and interpretation of statistical models
10 May 2010: 15.30-17.15	Charles T. Tackney/ Wencke Gwozdz	Session 6: Class discussion and/or individual sessions on the application of quantitative methods to individual research questions
11 May 2010: 09.00-10.30	Wencke Gwozdz with Charles T. Tackney	Session 7: Estimation and interpretation of statistical models
11 May 2010: 10.45-12.15	Wencke Gwozdz with Charles T. Tackney	Session 8: Explanation, estimation and interpretation of statistical models
11 May 2010: 13.15-15.30	Charles T. Tackney/ Wencke Gwozdz	Session 9: Class discussions on the application of quantitative methods to individual research questions and debriefing and evaluation of the course

Lecture, discussions and PC lab practicum workshops.

Morning lecture and discussion sessions will be followed by afternoon PC lab and/or group work. C. Tackney will provide the initial lecture on General Empirical Method. Then he and W. Gwozdz will work together to present specific statistics sessions in the afternoon. The intended course runs three days, combining morning and afternoon sessions.

A Compendium:

Lonergan, Bernard J.F. (2005). Preface, pp. 3-9, Chapter 1, Elements, pp. 27- 31, and pp. 126-139 on the complementarity of classical and statistical heuristic structures. Insight: a Study of Human Understanding. Volume 3 of the Collected Works of Bernard Lonergan, (Frederik E. Crowe and Robert M. Doran, Eds.). Toronto: University of Toronto Press.

Other readings as suggested by the doctoral student skills and interests assessment survey.

Wooldridge, J.M. (2008), “Introductory Econometrics: A Modern Approach, Thomson South- Western, 4th edition.

Weiers, R. (2007), “Introduction to Business Statistics,” Cengage Learning Services

Please send your application to Maja Dueholm ( md.ikl@cbs.dk ) before 8 April 2011