"The High School Longitudinal Study of 2009 using New Statistical Metho" by Arianna Ortiz
 
The High School Longitudinal Study of 2009 using New Statistical Method,  Optimal F

The High School Longitudinal Study of 2009 using New Statistical Method, Optimal F

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Publication Date

Summer 2024

Digital Publisher

Digital Commons at St. Mary's University

Collection

McNair Scholars Symposium

Keywords

Missingness; missing values; population; longitudinal study; sample size

Description

The High School Longitudinal Study of 2009 (HSLS:09) is a unique study that encapsulates data from 25,206 representative samples of students from 10 states in the U.S. ensuring that policymakers are provided reliable information about student trajectories within their state compared to other states and nationwide. The nationally representative longitudinal study of 9th graders showcased trends in continuation through their secondary and postsecondary years with a concentration on understanding the students' trajectories from the beginning of high school into their postsecondary education. The HSLS:09 study encompasses an extensive amount of missing data. Missingness interferes with the researcher’s ability to accurately interpret data of their studies as they are not representative of a population. This is especially true in longitudinal research as a study with a significantly large original sample size may include deletion or imputation methods into missing values resulting in a smaller subset of data. As stated previously, there are numerous solutions to dealing with missingness, such as regression, and multiple imputation, however, this study focuses on reporting mean difference through Type I and Type II error and replacing missing values at random using Optimal F’s repeated measures and one-way ANOVA. It is hypothesized statistical methods will support and stimulate new data creating a mean difference that will be representative of the population. Statistical techniques such as these alter missing values rather than delete cases altogether to conserve the sample size.

Disciplines

Analysis | Data Science | Educational Assessment, Evaluation, and Research | Harmonic Analysis and Representation

Format

MOV

Medium

MOV

Size or Duration

16:01 minutes

City

San Antonio

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The High School Longitudinal Study of 2009 using New Statistical Method,  Optimal F

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