What Makes a Difference: Research on Student GPA

What Makes a Difference: Research on Student GPA

What Makes a Difference: Research on Student GPA Using ANCOVA Sam shi Fangyu / Brody Du TAIR 2018, Corpus Christi, TX Strategic Analysis and Reporting UNT Dallas Strategic Analysis and Reporting. New Trend.

Student Performance _ Abstract Purpose of Analysis - Find out what makes a difference on student GPA How to do it - Find patterns using students information Which method - ANCOVA What software- SPSS Student Performance _ Summary

Why it matters Dataset introduction

Introduction Target students selecting ANCOVA

Usage Future Topic

Data Analysis Practical Meanings Student Performance _ Introduction Why it matters Dataset introduction Target students selecting

Student Performance _ Introduction _ Why it matters GPA has strong correlation with retention GPA influence graduation rate For advising purpose Student Performance _ Introduction _ Dataset Fall 2016

Only Freshman, Sophomore, and Junior 21 Variables about students Student Performance _ Introduction _ Target Students Use 3.0 as cut-off point according to previous research result

The differences of the pattern maximum when cut off by 3.0 The best cut-off point may varies across institutions Student Performance _ Analysis

ANCOVA Student Performance _ Analysis _ ANCOVA A General Linear Model

From observations about an item to conclusions about the target value Only shows significant variables and how significant. Student Performance _ Analysis _ ANCOVA _ Example

Result of ANCOVA Student Performance _ Analysis _ ANCOVA Goal 1 If the GPA of a student is higher or lower than 3.0

Goal 2 Which variable makes difference Variables Full-time, Part-time, School, Gender, SAT Student Performance _ Analysis _ Decision Tree Process Analyze GLM - Univariate

Student Performance _ Analysis _ Decision Tree Dependent variable higher or lower than 3.0 Independent variable - predictors Student Performance _ Analysis _ Decision Tree Student Performance _ Analysis _ P-value

P-value Significant Student Performance _ Analysis _ Decision Tree

Result All tree Variables picked Class, Ethnicity, School, FullPart Student Performance _ Practical Meanings Usage Future Topic Student Performance _ Practical Meanings

Using the rule to predict new-coming students and send early alter to advisors Know the trend of the students performance Student Performance _ Future Topic

Compare interaction methods and test if significant difference exist Collaborate with other universities to create more general rules Thank you! Questions? Thank you!

Contact us anytime if you need help! Sam Shi Brody Du [email protected] [email protected] 972-338-1785 972-338-1343

Please come take a name card and stay in touch! SPSS _ Analysis _ Decision Tree Generating rules Rules Export Save

Use rules Utilities Scoring Wizard

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