Universität Wien
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390038 DK PhD-M: Measurement Theory and Scale Development (2018S)

Continuous assessment of course work

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 15 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 25.04. 08:00 - 18:15 Seminarraum 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 26.04. 08:00 - 11:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 26.04. 11:30 - 16:30 Seminarraum 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 27.04. 08:00 - 16:30 Seminarraum 6 Oskar-Morgenstern-Platz 1 1.Stock

Information

Aims, contents and method of the course

The course seeks to provide a broad introduction to measurement theory and alternative approaches for developing and assessing multi-item scales. It is aimed at non-experts and the emphasis is on the steps associated with the development and validation of sound measures for use in empirical research. The course is designed for PhD-students and assumes previous knowledge of data analysis and statistics (including factor analysis and regression). Students taking this course must have already successfully completed the Multivariate Business Statistics and Structural Equations Modeling courses of the PhD Management program.

The course seeks to familiarize participants with the various stages associated with the construction of sound measures for use in empirical research, highlighting key decisions and potential problems at each stage. Following an introduction of the key concerns of measurement theory, the conceptual underpinnings of alternative measurement perspectives - namely reflective and formative measurement - are discussed. These set the conceptual background for considering operational procedures for developing reflective scales and formative indices and for offering detailed guidelines for measure validation. To enable participants experience measure development 'in action';, the various issues are illustrated with concrete examples of reflective scale development and formative index construction drawn from the literature.

Once participants have become familiar with basic measurement principles, more advanced topics will be addressed such as higher-order models, parceling strategies, and single-item measurement models. Note that in several of the illustrations used, the LISREL program will be applied to estimate the relevant models and, therefore, it is essential that participants are familiar with basic structural equations modeling (SEM) procedures.

The course will take the form of workshop sessions, placing particular emphasis on student participation. Theoretical discussion of key issues will be accompanied by practical demonstration of scale development.

Assessment and permitted materials

This will take the form of a mini-project on critically evaluating an application of measure development. Full details will be given in the first session.

Students are expected to read widely on the subject (see Course Text & Additional Reading below) and download the (free) student version of the LISREL program (see www.ssicentral.com).

Minimum requirements and assessment criteria

Examination topics

Reading list

The required text for the course is:
Netemeyer, R. G.; Bearden, W. O. and Sharma, S. 2003. Scaling Procedures, Sage Publications (ISBN: 0-7619-2027-7)

A selected list of readings on measurement will be available on moodle. Further readings and useful online links can be found in the Office of Scale Research website (http://scaleresearch.siu.edu/).

Association in the course directory

Last modified: Mo 07.09.2020 15:46