Asked by miguel angel martinez porras on Jul 14, 2024
Verified
A researcher wants to create an intervention to improve the well-being of first-semester graduate students,so she gives one group of students specific doses of rocky road ice cream,the next group of students specific doses of licorice,and the third group of students specific doses of chewy fruit-flavored candies for their treatments.To analyze the differences in well-being between the types of treatment,she would use a(n) ______.
A) dependent-samples t test
B) analysis of variance
C) independent-samples t test
D) repeated-measures analysis of variance
Analysis of Variance
A statistical technique used to determine if there are any statistically significant differences between the means of three or more independent (unrelated) groups.
Well-being
A state or condition that encompasses physical, mental, and emotional health, often considered in terms of how individuals feel about their life and circumstances.
Treatment Types
The different conditions or interventions applied in an experimental study to examine their effects on the outcomes of interest.
- Gain an understanding of the essential theories and calculations pertinent to Analysis of Variance (ANOVA).
- Identify the independent and dependent variables in a given research scenario involving ANOVA.
Verified Answer
KS
Kellie ShaughnessJul 17, 2024
Final Answer :
B
Explanation :
The researcher is comparing the effects of different types of treatments (rocky road ice cream, licorice, chewy fruit-flavored candies) on well-being of first-semester graduate students. Therefore, the appropriate statistical analysis would be an analysis of variance (ANOVA) to compare the means of three or more groups. Dependent-samples t-test is used to compare means of two related groups, independent-samples t-test is used to compare means of two independent groups, and repeated-measures ANOVA is used to compare means of three or more related groups over time.
Learning Objectives
- Gain an understanding of the essential theories and calculations pertinent to Analysis of Variance (ANOVA).
- Identify the independent and dependent variables in a given research scenario involving ANOVA.