Conceptualize statistics as a method for specifying and testing a model of how the world works
Execute and understand of the use and limitations of null hypothesis significance testing
Wrangle, summarize, test, and display data using R
Independence
Many basic statistical tests were developed a century ago.
This class has variance.
Week(s) | Topics |
---|---|
1-2 | Collecting and summarizing data |
3-4 | Probability |
5 | Sampling and making inferences about the unknown |
6-9 | Making a decision |
10 | Evaluating that decision |
Undergraduate
Graduate
Teach you the basics of statistics and R.
Challenge you – this class is designed to push you to your personal limit and then just beyond.
Create situations in which you can practice skills that will help throughout your career.
Give everyone an A.
Everything is free and available online
Materials for this course: uopsych.github.io/psy611
This course will use R and RStudio for all analyses. Why?
If you want extra help, the library offers R
workshops, as well as workshops on reproducibility (data management, database and spreadsheets, version control with Git, etc).
The library also has R consultants (GEs) available during most work hours to help troubleshoot.
https://library.uoregon.edu/research-data-management/training-workshops
For the rest of today:
Exploratory —————————————- Confirmatory
Typically we pair some kinds of statistical tests with experimental work and other kinds of tests with observational work. Examples?
In reality, most statistical tests can be used with most kinds of research. It’s not so much the kind of research that matters, but which statistic helps to answer your question and what types of variables do you have?
Four scales
Pick one of the following constructs and come up with four ways of measuring it (one for each of the scales: nominal, ordinal, interval, ratio):
Nominal
Ordinal
Interval
Ratio
Why does this matter?
Different amounts of information
Different mathematical properties
Nominal
Ordinal
Interval
Ratio
What is this?
Two types
Nominal
Ordinal
Interval
Ratio
How do these two methods of describing scales match up?
Measurement validity
Before class, please download and install R and RStudio.