Survey research and design in psychology/Assessment/Lab report/Topics

Lab reports for Survey Research and Design in Psychology need to:

  1. Conduct psychometric analysis (exploratory factor analysis, reliability analysis, and descriptive statistics) of either the university student satisfaction or time management items and factors.
  2. Test an explanatory model involving one DV and at least three IVs using multiple linear regression. Possible constructs for use in this model are listed below.

Current edit

Demographics edit

  1. Age
  2. Gender
  3. Type of enrolment (part-time / full-time)
  4. Hours of work
  5. Percentage of degree completed
  6. Average grade
  7. Stress and coping with university

University student satisfaction edit

  1. Education/Teaching
  2. Social
  3. Admin/Student support/Flexibility
  4. Technology/Library
  5. Utility/Relevance
  6. Layout/Navigability

General life satisfaction edit

General health and well-being edit

  1. Diet
  2. Sleep
  3. Exercise
  4. Physical health
  5. Physical fitness
  6. Mental well-being

Time management edit

  1. Time management effectiveness
  2. Time management action
  3. Procrastination

Previous edit

Learning self-efficacy edit

  • Study Work Ethic/Orientation or Effort/Persistence
  • Academic Ability/Mastery

Motivation edit

  • Altruism
  • Career & Qualifications
  • Social Pressure
  • Social Opportunity
  • Self-Development

Future possibilities edit

See also edit

  • List of references (2007)
  • Surveys about university student motivation, satisfaction, and time management

Surveys edit

These surveys were designed for use by an undergraduate psychology class (Survey Research and Design in Psychology, 2005-2018):

Students used these surveys to collect data, entry data, and conduct analyses for a lab report.

Using these surveys edit

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

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