Researchers wanted to investigate the relationships between number of years of school completed, whether students have had primarily male, female, or equal proportions of male and female teachers, and academic aptitude. To encompass as representative a sample as possible, researchers recruited all 6th, 9th, and 12th grade cohorts from each of 150 schools around the country. To test the effects of number of years in school and teachers' gender on scholastic aptitude, which nonexperimental research design is most appropriate?
A) multiple regression
B) structural equation modeling
C) multilevel modeling
D) path analysis

Question

Quizplus · Accepted Answer

Multilevel modeling would be the most appropriate nonexperimental research design for this study as it allows for the analysis of data that is nested at different levels (individual level and school level) and can account for the relationship between variables at each level. This design would be appropriate for examining the relationships between number of years of school completed, teacher gender, and academic aptitude while taking into account school-level effects. Multiple regression, structural equation modeling, and path analysis all have limitations for analyzing nested data and may not adequately address the hierarchical structure of the data in this study.

Researchers Wanted to Investigate the Relationships Between Number of Years