Completely Randomized Factorial Anova
Chapter 16
Completely Randomized Factorial ANOVA
This tutorial describes the procedures for computing F tests for a completely randomized factorial analysis of variance design. The reading-speed data in Table 16.4-2 of the textbook are used to illustrate the procedures.
1. Enter a description of the data in the SPSS Data Editor following steps 1–4 described in the Frequency Distribution tutorial for Chapter 2. Use rows 1, 2, and 3 of the SPSS Data Editor Variable View window to describe the two independent variables and the dependent variable. There are two levels of room illumination, Illumination Level, denoted by a1 and a2. You identify the illumination levels in the Values cell of the Variable View window. When you click on the cell below Values, a grey box appears on right side of None that is highlighted here.
[pic]
2. Clicking on the grey box opens the Value Labels window. Type 1 in the Value box and a1 in the Label box. Click on the Add button to move a1 into the large box in the center of the Value Labels window.
[pic]
3. To identify a second value of the independent variable, a2; type 2 in the Value box and a2 in the Label box. Click on the Add button to move a2 into the large box in the center of the Value Labels window. Click on the OK button in the lower left area of the window to return to the SPSS Data Editor Variable View window and finish filling out the cells in the first row.
4. Use the second row of the SPSS Data Editor Variable View window to describe the second independent variable: size of type, denoted by Type Size. This variable has three levels denoted by b1, b2, and b3. You identify the levels of the variable in the Values cell of the Variable View window. When you click on the cell below Values, a grey box appears. Clicking on the grey box opens the Value Labels window. Type 1 in the Value box and b1 in the Label box. Click on the Add button to move b1 into the large box in the center of the Value Labels window.
Completely Randomized Factorial ANOVA
This tutorial describes the procedures for computing F tests for a completely randomized factorial analysis of variance design. The reading-speed data in Table 16.4-2 of the textbook are used to illustrate the procedures.
1. Enter a description of the data in the SPSS Data Editor following steps 1–4 described in the Frequency Distribution tutorial for Chapter 2. Use rows 1, 2, and 3 of the SPSS Data Editor Variable View window to describe the two independent variables and the dependent variable. There are two levels of room illumination, Illumination Level, denoted by a1 and a2. You identify the illumination levels in the Values cell of the Variable View window. When you click on the cell below Values, a grey box appears on right side of None that is highlighted here.
[pic]
2. Clicking on the grey box opens the Value Labels window. Type 1 in the Value box and a1 in the Label box. Click on the Add button to move a1 into the large box in the center of the Value Labels window.
[pic]
3. To identify a second value of the independent variable, a2; type 2 in the Value box and a2 in the Label box. Click on the Add button to move a2 into the large box in the center of the Value Labels window. Click on the OK button in the lower left area of the window to return to the SPSS Data Editor Variable View window and finish filling out the cells in the first row.
4. Use the second row of the SPSS Data Editor Variable View window to describe the second independent variable: size of type, denoted by Type Size. This variable has three levels denoted by b1, b2, and b3. You identify the levels of the variable in the Values cell of the Variable View window. When you click on the cell below Values, a grey box appears. Clicking on the grey box opens the Value Labels window. Type 1 in the Value box and b1 in the Label box. Click on the Add button to move b1 into the large box in the center of the Value Labels window.