January 2024 In-Person Short Course:

POSTPONED Until May/June 2024

Questionnaire Design

Instructor

Dr. Lisa Schurer Lambert, Oklahoma State University

Dr. Lambert is a Professor and a William S. Spears Chair of Business. Her scholarship has focused on the employment relationship, leadership, psychological contracts, person-environment fit theory, and research methods and has been published in the Academy of Management Journal, Journal of Applied Psychology, Personnel Psychology, Organizational Behavior and Human Decision Processes, Organizational Research Methods, and Psychological Methods. Dr. Lambert has served as Chair of the Research Methods Division of Academy of Management and is President-Elect of the Southern Management Association. She is Co-Editor for Organizational Research Methods and has served on editorial boards for the Academy of Management Journal, Journal of Applied Psychology, Journal of Management, Organizational Behavior and Human Decision Processes, and the Journal of Business and Psychology. She is a frequent instructor for the Consortium for the Advancement of Research Methods and Analysis (CARMA) and SMA Fellow.

Description

This introductory course will help you develop your model, develop and select measures, design survey instruments and execute your data collection. Topics include designing your project (developing a model, selecting variables, sampling requirements). Because it is necessary to establish adequate construct validity before testing hypotheses, we cover a wide variety of procedures for assessing construct validity (including EFA/CFA). Then we will apply this understanding of up-to-date construct validity practices to scale development techniques by creating new measures or revising existing measures that can pass the hurdles posed by tests of construct validity. We draw from research on how respondents interpret surveys to reveal principles for how to design your questionnaire to obtain high quality data. Finally, we will cover procedures for managing the data collection and for cleaning your data (missing data, outliers, identifying careless responders). If you wish, bring your research ideas because there will be opportunities to advance your own project within the workshop.