This is targeted at undergraduate research projects of the type I facilitate in my Research Methods and Advanced Research Methods courses. These suggestions and tools are likely to be insufficient for other kinds of projects.

• Multiple categorical predictors: Factorial ANOVA
• Multiple numerical predictors: Multiple regression
• Numerical and categorical predictors: ANCOVA (analysis of covariance)

If you're in my class, please try to avoid this. It can be done in ways (conceptually and functionally) similar to designs with a numerical outcome variable, but you will need to learn how to set things up a bit differently, and you will need to learn how to interpret some new kinds of statistics.

If you're in my class, don't do this.

• Between subjects
• Repeated measures

Survey design basics

• Qualtrics basics: Questions, blocks, etc.
• Qualtrics flow
• Getting your data from Qualtrics

SONA -basics

Link Qualtrics to SONA

• Choosing scales
• Scoring & instructions
• Writing up scales in papers & posters

Informed consent

You will probably need a spreadsheet program/application like Calc, Excel, Numbers, or Google sheets, to do data wrangling.

• Data wrangling, cleaning, tidying, preparation
• Scoring multi-item scales (for analysis)
• Creating a single variable for manipulated conditions

Note: Most of this assumes you are using JASP. If you're using another stats program like Minitab, Stata, SPSS, or SAS, you will probably have to adapt these instructions. If you're using R, you probably don't need these instructions.

• Getting data into JASP
• Descriptive statistics
• (Multiple) Regression in JASP
• t-tests in JASP
• Graphs in JASP
• Cronbach's alpha in JASP (internal consistency reliability for multi-item scales)

• Scientific paper/poster structure