TY - CHAP
M1 - Book, Section
TI - Two-Way Analysis of Variance
A1 - Glantz, Stanton A.
A1 - Slinker, Bryan K.
A1 - Neilands, Torsten B.
Y1 - 2017
N1 -
T2 - Primer of Applied Regression and Analysis of Variance, 3e
AB - The experiments we analyzed in Chapter 8 were ones in which the subjects were divided according to a single factor, such as mental status or diet. Although many experiments can be analyzed using that design, there are also times when one wishes to divide the experimental subjects into groups according to two factors. For example, in Chapter 8, we tested the hypothesis that circulating cortisol levels differed among normal, nonmelancholic depressed, and melancholic depressed people. Now, suppose that we wanted to investigate whether or not the results depended on the gender of the person studied. In this case, we have a two-factor, or two-way, analysis-of-variance problem in which each individual experimental subject is classified according to two factors (Table 9-1). Although fundamentally the same as the single-factor analysis of variance discussed in Chapter 8, the two-factor analysis of variance provides a different perspective on the data.
SN -
PB - McGraw-Hill Education
CY - New York, NY
Y2 - 2021/05/13
UR - accessbiomedicalscience.mhmedical.com/content.aspx?aid=1141900577
ER -