Factorial Analysis of Variance  

In 1974, Michael W. Eysenck conducted a now classic study on recall of verbal material. Briefly, Eysenck, motivated by an earlier model proposed by Craik and Lockhart (1972) that suggested that the degree to which verbal material is remembered is a function of the degree to which it is initially processed. For example, when trying to remember a list of words, repeating the word to oneself, a low level of processing is not particularly effective. On the other hand, forming a relation between the words in the list and some other words or objects should lead to better recall. Eysenck further reasoned that younger people outperform older people in processing verbal material (a much more detailed description of Eysenck’s study is given in Howell (2007, pp. 298-299;  394-398). Howell constructed a dataset that conformed to that originally collected by Eysenck. That dataset is shown in the following table.

 

These data are included in the Excel workbook, Howell 13-2. The workbook contains two worksheets: Table, which displays the data as a table; and List, which displays the data as a list.  

Included, also, in the Table worksheet is an analysis of the data using the Analysis ToolPac in Excel. The analysis is heavily commented and should be easy to follow.

Your job is analyze the data three ways: (1) replicate the Excel analysis shown in the Table worksheet in the Excel file, (2) Analyze the data using Vassar Stats Two-Way Factorial ANOVA for Independent Sample, and (3) Analyze the data using SPSS.

Finally, write-up the results of your analysis (probably the SPSS or Vassar Stats analysis) as though you you were going to submit it to a professional journal.

I will provide my solution to this exercise before we meet next week.