Tools to help you determine the right sample size to maximize your chances of achieving statistically significant results. Can also be used after the fact, to determine how much statistical power a given study had.
Use these tools to conduct basic survey research. The "Survey Monkey" tool lets you create free online surveys (up to 10 questions and 100 respondents) that you can customize to your specifications. Larger-scale surveys with more options can be set up for a modest fee. The site automatically tabulates frequency counts for responses.
Reference information for two SEM applications. You can also download free student versions of both programs to try: the student versions have limits on the number of cases that can be analyzed and the number of variables you can include in your model. The full versions of both programs are available in the CNR Computer Lab.
Reference information for the MLM application available in the CNR Computer Lab. You can also download a free student version of the same software, which is limited to 5 effects, 7200 level-1 observations, and 350 level-2 observations, but which is otherwise the same as the full version available in the CNR lab.
Traditional approaches to missing data — dropping cases with missing data or filling in the mean score for other participants on that item — promote error in analyses. Download free tools to deal with missing data more appropriately. Some programs available in the CNR Computer Lab (LISREL and AMOS) also have built-in capabilities to handle missing data. SPSS has a commercial add-on product for missing data analysis, but this is not available in the SPSS basic package used at the College of Nursing.
Tools and calculators for performing meta-analytic literature reviews. The MetaWin program is a spreadsheet-based meta-analysis package that is available in the CNR computer lab. You can download a free trial version here (limited to 15 studies in your review).
Resource material and tools for conducting qualitative studies and using Atlas-Ti.
Tools to help you plan your next study, and to choose the appropriate statistical tests.
How to read and interpret research articles. (Also see the reference materials in the section on Research Design).
Calculators allow you to perform common statistical tests by entering data into a web interface.
Access free online training materials about topics in statistics and research. Some of these may be useful in teaching about statistics and research methods.