In: Math
Insomnia and Education. A random-digit telephone dialing procedure was employed to collect data on 575 study participants. The researcher classified each participant into one of four education categories (college graduate, some college, high school graduate, and high school dropout) as well as two categories of insomnia status (normal sleeper or chronic insomnia). One dependent variable of interest to the researchers was a quantity measure of daytime functioning called the Fatigue Severity Scale (FSS). The data were analyzed using an ANOVA model a Write the model underlying the analysis bThe researcher reported that “the Insomnia×Education interaction was not statistically significant”. Interpret this result in context. Illustrate with a graph. (4 Marks c The researchers discovered that the mean FSS was significantly greater for normal sleepers than for people with chronic insomnia. Interpret this result in context. d The researcher reported that the main effect of Education was statistically significant. Interpret this result in context.
Insomnia and Education
A random-digit telephone dialing procedure was employed to collect data on 575 study participants
The data were analyzed using an ANOVA model
where
= common effect,
= Education Level ith effect
= Insomnia Status of jth effect
= Interaction Effect
= error component
b) The researcher reported that “the Insomnia×Education interaction was not statistically significant
Let
Education Level - 4 levels
Insomnia Status – 2 levels.
Interaction not significant infers that the six distinct combinations of the two components yield a similar reaction esteems on a normal with the exception of chance varieties.
c) chronic Insomnia Status Effect
The given proclamation suggests that typical sleepers on a normal gave fundamentally higher Fatigue Severity Level.
d) Main Effect of Education
Education Level Effect The given explanation ought to be deciphered to infer that on a normal Fatigue Severity Level differ with deference training level