789616


Course
Applied Quantitative Methods for Non-quantitative Doctoral Researchers in Organization and Management Studies

Faculty

Associate Professor Wencke Gwozdz, Department of Intercultural Communication and Management

Associate Professor Charles T. Tackney, Department of Intercultural Communication and Management

Associate Professor Mogens Kamp Justesen, Department of Business and Politics


Course Coordinator
Associate Professor Wencke Gwozdz

Prerequisites

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

A precondition for receiving the course diploma is that the student attends the whole 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.

We would like to offer an opportunity for participants to receive advisement on specific quantitative methods issues involving their research. A student who chooses this option would send a 10-page paper describing a concrete methodological issue s/he is dealing with, including possible approaches to solve the issue, with questions of interest or concern. The paper would have to be submitted no later than 6 weeks after the course. Feedback on the paper and specific questions presented would be provided in writing or conversation within a reasonable timeframe. Participants who wish to use this opportunity and engage in the arrangement are eligible to 1 ECTS extra.

When registering, students need to decide whether to hand in a paper or not.

For PhDs who participated previously in the shorter version of this course (2.5 days), are welcome to register and participate in the second half of this course only. This holds only true for PhDs who have a certificate for this course of one of the previous years. PhDs participating only in the second half of the 2016 PhD course, are eligible for another 2.5 ECTS.


Aim

We first assess the perceived quantitative methods skills and needs of doctoral students that participate in the course through a pre-course survey. In the course, we 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. This should significantly help prepare students 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.


Course content

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 distribution and the Central Limit Theorem

b) Introduction of Stata (enter data, clean data, writing procedures, data preparation)

c) Estimation and explanation of statistical models (t-tests, ANOVA, correlation analysis, regression analyses, 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


Teaching style

Lectures, 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, W. Gwozdz and M. K. Justesen will work together to present specific statistics sessions in the afternoon. The intended course runs five days, combining morning and afternoon sessions.


Lecture plan
6 June

Session 1: An Overview of the Place of Quantitative Studies in General Empirical Method (Charles T. Tackney)

Session 2: Introduction to data handling and Stata + hands on (data cleaning and preparation) (Wencke Gwozdz)

Session 3: Explanation of descriptive statistics (Wencke Gwozdz)

7 June Session 4: A Session of Review and/or Remediation (Wencke Gwozdz with Charles T. Tackney)

Session 5: Estimation and interpretation of descriptive statistics - hands on (Wencke Gwozdz)

Session 6: Explanation of testing differences (e.g. t-tests, ANOVA) (Wencke Gwozdz)

Session 7: Estimation and interpretation of testing differences (e.g., t-tests, ANOVA) - hands on (Wencke Gwozdz)
8 June Session 8: Explanation and testing relationships (correlation analyses) (Wencke Gwozdz)

Session 9: Class discussion and/or individual sessions on the application of quantitative methods to individual research questions (Charles T. Tackney/Wencke Gwozdz)

Session 10: Estimation and interpretation of testing relationships (correlation analyses) - hands on (Wencke Gwozdz)

Session 11: Explanation of regression analyses - OLS (Wencke Gwozdz)
9 June Session 12: Estimation and interpretation of regression analyses - OLS - hands on (Wencke Gwozdz)

Session 13: Class discussion and/or individual sessions on the application of quantitative meethods to individual research questions (Charles T. Tackney/Wencke Gwozdz/Mogens K. Justesen)

Session 14: Explanation, estimation and interpretation of OLS assumptions -hands on (Mogens K. Justesen)

Session 15: Explanation, estimation and interpretation of regression analyses Logit - hands on (Mogens K. Justesen)
10 June Session 16: Explanation, estimation and interpretation of factor analysis (Mogens K. Justesen)

Session 17: Outlook - more advanced regression models (e.g., longitudinal regression analysis, multilevel analyses) (Mogens K. Justesen)

Session 18: Class discussions on the application of quantitative methods to individual research questions and debriefing and evaluation of the course (Charles T. Tackney/Wencke Gwozdz/Mogens K. Justesen)

Learning objectives

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 studies, 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.


Exam

N/A


Other

N/A


Start date
06/06/2016

End date
10/06/2016

Level
PhD

ECTS
5 (Including Add-on: + 1 ECTS). When registering, please decide whether to hand in a paper or not, see the Prerequisites above

Language
English

Course Literature
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.Recommended literatureGreene, W.H. (2011). Econometric Analysis, 7th edition, Prentice Hall.Howell, D.C. (2010). Statistical Methods for Psychology. Wadsworth, CA: Cengage Learning.Wooldridge, J.M. (2008), “Introductory Econometrics: A Modern Approach, Thomson South- Western, 4th edition.Weiers, R. (2007), “Introduction to Business Statistics,” Cengage Learning ServicesOtherBaum, C. (2006). An introduction to modern econometrics using Stata. College Station, TX: Stata Press.

Fee
DKK 6,500 - or DKK 7,800 if you submit paper. Covers the course, coffee/tea, lunch and one dinner

Minimum number of participants
18

Maximum number of participants
18

Location

Copenhagen Business School
Solbjerg Plads 3
DK-2000 Frederiksberg
Room: SP108


Contact information

The PhD Support
Katja Høeg Tingleff
kht.research@cbs.dk
Tel: +45 38 15 28 39


Registration deadline
25/04/2016

In case we receive more registrations for the course than we have places, the registrations will be prioritized in the the following order: Students from Doctoral School of Organisation and Management Studies (OMS), students from other CBS PhD schools, students from other institutions than CBS.

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