![]() ![]() This demonstrates HLM as a powerful statistical tool for quantifying the impact of academic programming on student achievement. There were little to no interaction effects determined between STEM participation and student factors. program used by professional researchers and research students worldwide in areas of education. HLM determined integrated STEM education had a significant, positive effect on achievement in math and science combined (students scoring 31.8 points higher on average) and science achievement (students scoring 38.2 points higher on average) compared to traditional education students, respectively. The first Windows version of HLM came out in 1997. ![]() ![]() This longitudinal study analyzes potential moderators of gender, socioeconomic status, student race, and attendance rate along with state test scores to quantify achievement. The purpose of this methodological study is to demonstrate the use of HLM to determine the effectiveness of STEM programming in an Ohio middle school. Hierarchical linear modeling (HLM) has become an increasingly popular multilevel method of analyzing data among nested datasets, in particular, the effect of specialized academic programming within schools. ![]()
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