Survey research and design in psychology/Assessment/Lab report/Overview
- Present an independently-developed APA style lab report which examines:
- the psychometric properties of a multi-item, multi-factorial measure (either time management or time perspective) using exploratory factor analysis and reliability analysis (guided by a research question)
- an explanatory model involving at least three predictors and one dependent variable using multiple linear regression (guided by hypotheses - one per predictor).
- Use the class-aggregated data file from the data collection and entry assessment exercise, based on the
Surveys
[edit | edit source]These surveys were designed for use by an undergraduate psychology class (Survey Research and Design in Psychology, 2005-2018):
- Time and Stress Questionnaire for University Students v.1 (TSQFUS1)
- The University Student Satisfaction and Time Management Questionnaire v.9 (TUSSTMQ9)
- The University Student Motivation & Satisfaction Questionnaire v.2 (TUSMSQ2)
Students used these surveys to collect data, entry data, and conduct analyses for a lab report.
Using these surveys
[edit | edit source]These instruments and their items are free to use, adapt etcetera under a Creative Commons Attribution International 4.0 license.
However, be aware that the surveys in their current format are intentionally designed to not be "perfect" so that emerging scholars studying subjects such as "Survey research and design in psychology" can collect data and then practice exploratory factor analysis 
.
There is also intentionally no scoring key . Factor analysis is recommended to help determine the underlying factor structure and to identify which items to use to calculate composite scores. In other words, there is a latent structure, but you'll need to work it out. For example, for university student motivation, see these suggestions. Composite scores representing underlying constructs can then be used for descriptive statistics and hypothesis testing.
Psychometrics
[edit | edit source]There are no reported psychometrics for newly developed items and scales in these survey instruments. Where intact, previously published measures were included, psychometrics may be available.
Users of these surveys should be prepared to conduct their own psychometric analyses (factor structure, reliability, and validity) based on their own samples.
See also
[edit | edit source]- For further information, see the general marking criteria and the detailed marking criteria which explains what to include for each section.