| chapter_7_table_15 {AMCP} | R Documentation |
The data used in Chapter 7, Table 15
Description
The data used in Chapter 7, Table 15
The data used in Chapter 7, Table 15
Usage
data(chapter_7_table_15)
data(chapter_7_table_15)
Format
An object of class data.frame with 22 rows and 3 columns.
An object of class data.frame with 22 rows and 3 columns.
Details
The following hypothetical salary data represents a nonorthogonal two-by-two factorial design. The first factor (sex) is crossed with college (degree or no degree). The primary question of interest is whether or not there is sex discrimination in terms of salary.
The data in Table 7.15 presents hypothetical data (in thousands) for 12 females and 10 males who have just been hired by the organization. The mean salary for the 12 females is \$22,333, whereas the mean for the 10 males is \$22,100. The data in Table 7.15 also contains information about an additional characteristic of employees, namely whether they received a college degree. It is clear from the data that a majority of the new female employees are college graduates, whereas a majority of the males are not.
Table 7.23 shows hypothetical MMPI scores for 45 participants, each of whom is placed in one cell of a 3x3 design. One factor (A, the row factor) is type of therapy. The other factor (B, the column factor) is degree of severity.
Suppose that a clinical psychologist is interested in comparing the relative effectiveness of three forms of psychotherapy for alleviating depression. Fifteen individuals are randomly assigned to one of each of three treatment groups: cognitive-behavioral, Rogerian, and assertiveness training. The Depression Scale of the MMPI serves as the dependent variable. After the fact, these individuals where placed into one of three categories based on the severity of their depression. Thus, this data set represents a 3 by 3 nonorthogonal factorial design with post hoc blocking.
The data represents the relative effectiveness of three forms of psychotherapy for alleviating depression. Fifteen individuals were randomly assigned to one of three groups. After the fact, these individuals where placed into one of three categories based on the severity of their depression. Thus, this data set represents a 3 by 3 nonorthogonal factorial design with post hoc blocking.
Variables
- sex
gender (male vs female)
- educ
education level (degree vs no degree)
- salary
salary (in thousands)
- therapy
the type of therapy
- severity
the severity of the therapy
- score
the score of the individual
Synonym
C7T15
C7T15
Author(s)
Ken Kelley kkelley@nd.edu
Ken Kelley kkelley@nd.edu
Source
https://designingexperiments.com/data/
Maxwell, S. E., Delaney, H. D., & Kelley, K. (2018). Designing experiments and analyzing data: A model comparison perspective. (3rd ed.). New York, NY: Routledge.
https://designingexperiments.com/data/
Maxwell, S. E., Delaney, H. D., & Kelley, K. (2018). Designing experiments and analyzing data: A model comparison perspective. (3rd ed.). New York, NY: Routledge.
References
Maxwell, S. E., Delaney, H. D., \& Kelley, K. (2018). Designing experiments and analyzing data: A model comparison perspective (3rd ed.). New York, NY: Routledge.
Maxwell, S. E., Delaney, H. D., \& Kelley, K. (2018). Designing experiments and analyzing data: A model comparison perspective (3rd ed.). New York, NY: Routledge.
Examples
# Load the data
data(chapter_7_table_15)
# Or, alternatively load the data as
data(C7T15)
# View the structure
str(chapter_7_table_15)
# Load the data
data(chapter_7_table_15)
# Or, alternatively load the data as
data(C7T15)
# View the structure
str(chapter_7_table_15)