Question

1. Using the SPSS dataset Polit2SetA, answer the following research question:

Are there significant differences in overall satisfaction with material well-being (SATOVRL) between
women with no housing problems, 1 housing problem, or > 2 housing problems?
2. The Polit2SetA data set contains 8 variables (#25-#32) that refer to different housing problems
(e.g., utilities cut off, unreliable heat). The variable HOUSEPROB (variable #33) is a summary
variable that indicates the total number housing problems experienced by the women in this
sample. In order to answer the research question, the HOUSEPROB variable must be recoded
from a continuous variable to a categorical variable with 3 categories: 0 = no housing problems,
1 = one housing problem, and 2 = two or more housing problems. Review your prior notes and
lecture materials on how to recode variables.
3. Compute descriptive statistics for the SATOVRL variable.
4. Compute the ANOVA to examine differences in SATOVRL across the three housing problem
groups. Answer the following questions, rounding your answer to 2 decimal places.
QUESTION ANSWER
2a. What is the mean overall satisfaction with material
well-being (DV) in the total sample?
Mean =
(0) no problems: N = ?
(1) 1 problem: N = ?
(2) 2 or more problems: N =?
2b. What is the frequency distribution for the recoded
HOUSEPROB variable (IV)?
Missing: N =
(0) no problems: Mean =
(1) 1 problem: Mean =
2c. What is the mean level of satisfaction with material well-
being in each of the 3 housing problem groups?
(2) 2 problems: Mean =
2d. Which group is the most dissatisfied with their material
well-being?
2e. Based on your output, can the null hypothesis regarding
equality of variances in the three populations be
rejected?
2f. What was the value of the F statistic that tested the
equality of mean levels of satisfaction in the three
groups? Was the F-test statistically significant? What was
the probability level for the F statistic? (Answer all 3
parts of this question).
F =
df =
p =
2g. Are there significant group differences in mean satisfaction levels? Use the template below to
summarize the results of the ANOVA. Interpret the results.
In this sample of low-income women, one-way ANOVA revealed [statistically significant or no statistically
significant] differences in mean levels of [DV] across levels of [IV] (F?, ? = ?, p < ?). Post-hoc tests indicated [no
or statistically significant] differences in mean levels of satisfaction between [which groups]. Women with
[how many] housing problems were most satisfied (Mean = ?) and those with [how many] housing problems
were least satisfied (Mean = ?).

Answer 1

To answer the research question, recode the HOUSEPROB variable, compute descriptive statistics for SATOVRL, perform ANOVA, and analyze the results.

Step-by-step explanation:

1. To answer the research question, we need to recode the HOUSEPROB variable from a continuous variable to a categorical variable with 3 categories: 0 = no housing problems, 1 = one housing problem, and 2 = two or more housing problems.

2. Compute descriptive statistics for the SATOVRL variable to find the mean overall satisfaction with material well-being in the total sample.

3. Perform ANOVA to examine differences in SATOVRL across the three housing problem groups. Calculate the F statistic, determine its statistical significance, and the probability level for the F statistic.

4. Analyze the results of the ANOVA to determine if there are significant group differences in mean satisfaction levels.