Survey research and design in psychology/Assessment/Lab report/Graduate participants

Lab report - Graduate participants

Graduate participants in this unit are required to produce a more advanced lab report which also incorporates a qualitative analysis within a 3,300 word report. The additional requirements by section are:

1. 1. Introduction: Develop an extra research question and/or hypothesis which sets up a qualitative analysis (and relevant argument and background literature).
   2. Method: Mention the open-ended question(s) in the Measures section (which are subsequently analysed in the Results).
   3. Results:
      1. Present an additional analysis, a qualitative analysis of responses to at least one of the open-ended questions in the

Surveys

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

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

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

• University student motivation. The analysis can be approached qualitatively (e.g., using thematic analysis) or quantitatively (e.g., using multiple response analysis).

1. 1. 1. Explain the data coding and/or interpretative process
      2. Present a thick description of the data (if treating qualitatively) or descriptive results (frequencies/percentages via multiple response analysis, possibly with an accompanying figure, if treating quantitatively), with the key themes illustrated by representative quotes.
   2. The weighting for the Results section (45%) will be retained, with the Results sub-section weighting adjusted to:
      1. 0% Data screening;
      2. 15% Psychometric instrument development;
      3. 15% Multiple linear regression;
      4. 15% Qualitative analysis