This introductory course will help you develop your model, develop and select measures, design survey instruments and execute your data collection. Before testing hypotheses about relationships between constructs, i.e., your hypotheses, it is imperative to demonstrate that your measures have construct validity. There will be special focus on more stringent standards and techniques and evolving trends in evaluating construct validity. 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. Topics include designing your project (developing a model, selecting variables, sampling requirements), writing survey items, content and discriminant validity tests, and EFA/CFA procedures. 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 process including techniques for dealing with missing data, outliers, and careless responders. If you wish, bring your research ideas because there will be opportunities to advance your own project within the workshop.