Type I and Type II Errors, Part 2

An earlier post tried to clarify Type 1 and Type II errors. However, more clarification may be needed. Another way of thinking about Type I and Type II errors is to look at the experimenter’s conclusions.TYPE I ERRORIf the experimenter concludes that there was a...

Type I and Type II Errors

One easily confused relationship is between Type I and Type II errors.A Type I error is when we reject the Null Hypothesis when in fact their was no effect (The Null Hypothesis always states that there is no relationship or no effect). That is, we conclude we found...

Coding Gender in Statistical Programs

When looking at statistical databases, I have seen many elegant (and inelegant) methods of coding variables. One consistent coding question is how to code gender. Some people code 1 for male and 2 for female or the other way around. This means of coding leads to...

Archive of Norms, Stimuli, and Data

The Psychonomic Society Archive of Norms, Stimuli, and Data is an excellent resource for students looking for research tools. There are stimuli such as word lists. There are statistical macros. There are also preexisting programs to replicate previous...

The Value of Allen Iverson

With all the talk of trading Allen Iverson, it reminded me of an interesting book review by Malcolm Gladwell. The book, The Wages of Wins, was written by a group of economists. It uses regression analysis to determine how many wins each player is worth his team. As...