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Statistics and Probability

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2018

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Full-Text Articles in Education

Application Of Bradford’S Law Of Scattering On Research Publication In Astronomy & Astrophysics Of India, Satish Kumar, Senthilkumar R. Dec 2018

Application Of Bradford’S Law Of Scattering On Research Publication In Astronomy & Astrophysics Of India, Satish Kumar, Senthilkumar R.

Library Philosophy and Practice (e-journal)

The present study is focused on examining the application of Bradford’s law of scattering on research articles published in the field of Astronomy & Astrophysics by Indian scientist during 1988-2017. The bibliographic data was retrieved from Web of Science (WoS) bibliographic data base for different period of time. Total 18,877 journal’s article have been published by Indian scientist in the field of Astronomy & Astrophysics during 1988-2017 which was further retrieved and analyzed separately for different blocks of 10 years as well as for 30 years consolidated too. The core journal of the field was identified. The Bradford law of …


Text Analytics Approach To Extract Course Improvement Suggestions From Students’ Feedback, Swapna Gottipati, Venky Shankararaman, Jeff Rongsheng Lin Dec 2018

Text Analytics Approach To Extract Course Improvement Suggestions From Students’ Feedback, Swapna Gottipati, Venky Shankararaman, Jeff Rongsheng Lin

Research Collection School Of Computing and Information Systems

In academic institutions, it is normal practice that at the end of each term, students are required to complete a questionnaire that is designed to gather students’ perceptions of the instructor and their learning experience in the course. Students’ feedback includes numerical answers to Likert scale questions and textual comments to open-ended questions. Within the textual comments given by the students are embedded suggestions. A suggestion can be explicit or implicit. Any suggestion provides useful pointers on how the instructor can further enhance the student learning experience. However, it is tedious to manually go through all the qualitative comments and …


Seeing And Understanding Data, Beverly Wood, Charlotte Bolch Oct 2018

Seeing And Understanding Data, Beverly Wood, Charlotte Bolch

Statistics and Probability

No abstract provided.


A Comparison Of Pre-College Enrichment Program Participants And Non-Participants: College Academic Performance Measures, Sherron Mckendall, Alan Mckendall, Ann Chester Oct 2018

A Comparison Of Pre-College Enrichment Program Participants And Non-Participants: College Academic Performance Measures, Sherron Mckendall, Alan Mckendall, Ann Chester

Faculty & Staff Scholarship

This paper analyzes College Grade Point Averages (CGPAs), American College Testing Composite (ACTC) scores and Scholastic Assessment Test Total (SATT) scores of over 1,300 undergraduates at West Virginia University (WVU) who participated in the Health Sciences and Technology Academy (HSTA) to those students who did not (Non-HSTA). Traditionally, pre-college enrichment programs provide academic enrichment to underrepresented youth with the intent of increasing their chances for post-secondary entry and success. Factorial design determined if HSTA participants were better prepared to pursue postsecondary study. Overall, the results reveal that HSTA students outperformed their Non-HSTA counterparts in that there were significant differences in …


Demonstrating The Efficacy Of The Health Sciences And Technology Academy: Using Archival Standardized Test Scores To Analyze An Ost College-Preparatory Program For Underserved Youth, Feon Smith, Sherron Mckendall, Ann Chester, Bethany Hornbeck, Alan Mckendall Sep 2018

Demonstrating The Efficacy Of The Health Sciences And Technology Academy: Using Archival Standardized Test Scores To Analyze An Ost College-Preparatory Program For Underserved Youth, Feon Smith, Sherron Mckendall, Ann Chester, Bethany Hornbeck, Alan Mckendall

Faculty & Staff Scholarship

To combat educational and health disparities, out-of-school-time (OST) STEM enrichment programs provide services to underserved youth to encourage them to pursue college and health careers. This article describes a study conducted to determine if the Health Sciences and Technology Academy (HSTA) program participants who receive year-round educational interventions to prepare them for STEM and health sciences majors performed better on the West Virginia Educational Standards Test (WESTEST2) than non-participants. This study provides descriptive and inferential statistics, specifically one-way ANOVAs with one-to-one matching based on grade level, gender, race, and GPA at the end of the 8th grade year for 336 …


Quantitative Jeopardy Feud, Jonathan M. Gallimore Aug 2018

Quantitative Jeopardy Feud, Jonathan M. Gallimore

MSF 600 PR - Gallimore - Fall 2018

This activity - Quantitative Jeopardy Feud - is a method for using a game as a final exam.


Secondary Data Analysis Project, Jonathan M. Gallimore Aug 2018

Secondary Data Analysis Project, Jonathan M. Gallimore

SF 420 PR - Gallimore - Fall 2018

This activity is designed to give students an opportunity to apply what they have learned in statistics to a real dataset.

This activity will help students apply what they have learned in statistics to real world data and answer their own research questions. Students will also practice reporting their results in a paper using APA format.


Student Gains In Conceptual Understanding In Introductory Statistics With And Without A Curriculum Focused On Simulation-Based Inference, Beth Chance, Stephanie Mendoza, Nathan L. Tintle Jul 2018

Student Gains In Conceptual Understanding In Introductory Statistics With And Without A Curriculum Focused On Simulation-Based Inference, Beth Chance, Stephanie Mendoza, Nathan L. Tintle

Faculty Work Comprehensive List

Using “simulation-based inference” (SBI) such as randomization tests as the primary vehicle for introducing students to the logic and scope of statistical inference has been advocated with the potential of improving student understanding of statistical inference, as well as the statistical investigative process as a whole. Moving beyond the individual class activity, entirely revised introductory statistics curricula centering on these ideas have been developed and tested. In this presentation we will discuss three years of cross-institutional tertiary-level data in the United States comparing SBI-focused curricula and non-SBI curricula (roughly 15,000 students). We examine several pre/post measures of conceptual understanding in …


Development Of A Tool To Assess Students’ Conceptual Understanding In Introductory Statistics, Nathan L. Tintle, Jill Vander Stoep Jul 2018

Development Of A Tool To Assess Students’ Conceptual Understanding In Introductory Statistics, Nathan L. Tintle, Jill Vander Stoep

Faculty Work Comprehensive List

Few tools exist to assess students’ conceptual understanding in post-secondary, introductory statistics courses. The CAOS test is widely considered to be the gold standard, but was first published in 2007 and does not necessarily reflect some of the changes in student learning at the secondary level. Furthermore, it may not be sensitive enough to measure student conceptual understanding in modern post-secondary statistics courses (e.g., simulation-based inference). In this paper we will describe the process of developing a new instrument which uses some CAOS items, as well as additional new items to improve validity and reliability. We will share the validity …


Evaluating Preexisting Qualitative Research Data For Secondary Analysis, Victoria Sherif May 2018

Evaluating Preexisting Qualitative Research Data For Secondary Analysis, Victoria Sherif

Educational Leadership Studies Faculty Publications

In this article, I explore the nature of secondary analysis and provide a brief history of the method. Qualitative secondary analysis is a relatively under-used method in education and the social sciences, often due to the lack of easily accessible, relevant, trustworthy, and complete data. I address some of the potentials and limitations that influence its use and explore criteria for assessing the quality and sufficiency of preexisting qualitative research data. Qualitative secondary analysis has important implications for qualitative researchers, students and practitioners interested in generating new knowledge via unobtrusive, reliable, valid, and time/cost effective research through the wider use …


Elementary/Middle School Pre-Service Teachers’ Understanding Of Variability And The Use Of Dynamical Statistical Software, Yaomingxin Lu Apr 2018

Elementary/Middle School Pre-Service Teachers’ Understanding Of Variability And The Use Of Dynamical Statistical Software, Yaomingxin Lu

Research and Creative Activities Poster Day

A primary purpose of the study was to examine the effects of using dynamical statistical software (DSS) on prospective teachers’ (PSTs) understanding of statistical concepts, especially variability. Data were collected from PSTs enrolled in a probability and statistics course designed for prospective K-8 teachers. After initial analysis of the data using coding and classification schemes, we found the need to develop a more targeted framework to analyze students’ different levels of understanding. The variability framework (Garfield & Ben-Zvi, 2005) and the Structure of Observed Learning Outcomes (SOLO) taxonomy were then used in combination to develop a revised framework in order …


Mca Scores And Student Success, Aaron Jackson Apr 2018

Mca Scores And Student Success, Aaron Jackson

School District Data

The Minnesota Comprehensive Assessment (MCA) is a test taken by all Minnesota students in high school. There are three sections on the MCA Test: Math, Reading, and Science. MCA scores are used primarily for ranking Minnesota high schools. Schools are then able to tell where they rank in the state of Minnesota. The Reading and Science section are taken in 10th grade, with scores ranging from 1000-1099. Math assessments are given in 11th grade, with ranges 1100-1199. The Minnesota State Colleges and Universities (MNSCU) used MCA scores to detect students who they believed would not be career ready. Numerous studies …


Map Test Analysis, Ansai Bio-Sawe Apr 2018

Map Test Analysis, Ansai Bio-Sawe

School District Data

The Measures of Academic Progress (MAP) is a computerized adaptive test, unlike a traditional test in which, students have the same questions with a predefined amount of time to take the exam. In the MAP test, each student has a different set of questions, which varies on responses to earlier questions. In fact, if the student gives the correct answer to a question, the next questions will be harder. The opposite occurs as well: if a student gives an incorrect answer, the next questions become easier. The MAP test is used to see if a student is on –track for …


Alignment Between Star And Mca For Grades 10 And 11, Li Xian Cha Apr 2018

Alignment Between Star And Mca For Grades 10 And 11, Li Xian Cha

School District Data

STAR, the products from a software company, Renaissance, are used for screening and progress-monitoring overtime. An alignment was completed by Renaissance between STAR and MCA, the Minnesota Comprehensive Assessment, for grades 3 through 8. This research study will help contribute to the research of alignment between STAR and MCA. This research is predicting the expected STAR scores by season for student proficiency in MCA reading and math at 50% and 90% probability levels. The STAR scores needed to achieve 50% and 90% chance of MCA proficiency for each season will be calculated in this study. Overall, the STAR scores needed …


Early Reading Analysis, Jessica Chiantera Apr 2018

Early Reading Analysis, Jessica Chiantera

School District Data

Students take different tests in Pre-K and Kindergarten to track their academic progress. For literacy skills, these tests are the Teaching Strategies GOLD, which is taken in Pre-K, and the FastBridge earlyReading, which is taken in Kindergarten. The objective of this report is to find the relationship between the Pre-K and Kindergarten tests and find which tests are the most important predictors of students overall success in Kindergarten. This study looked at students in three school districts: Princeton, Sartell-St. Stephen, and Sauk Rapids-Rice. The main things found in this research are the following:

  • Regression models comparing the four Kindergarten subtests …


College Students’ Personality Traits In Relation To Career Readiness, Shelby R. Overacker, Carly E. Kalis, Francesca Coppola Apr 2018

College Students’ Personality Traits In Relation To Career Readiness, Shelby R. Overacker, Carly E. Kalis, Francesca Coppola

Student Publications

This study examined sixty-one Gettysburg College juniors and seniors (31 males, 30 females) to measure how the Big Five personality traits, and whether a student has Type D characteristics, determines if a student is career ready. We collected data through an in-person survey, with questions about personality traits, ambition, career readiness, and demographics. Regression was used to statistically analyze our first hypothesis. The results found that there is a significant positive association between conscientiousness and career readiness, but there is no significant association between extraversion and career readiness. For the second hypothesis, a mediation model was used. We found that …


Updated Guidelines, Updated Curriculum: The Gaise College Report And Introductory Statistics For The Modern Student, Beverly Wood, Megan Mocko, Michelle Everson, Nicholas J. Horton, Paul Velleman Apr 2018

Updated Guidelines, Updated Curriculum: The Gaise College Report And Introductory Statistics For The Modern Student, Beverly Wood, Megan Mocko, Michelle Everson, Nicholas J. Horton, Paul Velleman

Publications

Since the 2005 American Statistical Association's (ASA) endorsement of the Guidelines for Assessment and Instruction in Statistics Education (GAISE) College Report, changes in the statistics field and statistics education have had a major impact on the teaching and learning of statistics. We now live in a world where "Statistics - the science of learning from data - is the fastest-growing science, technology, engineering, and math (STEM) undergraduate degree in the United States," according to the ASA, and where many jobs demand an understanding of how to explore and make sense of data. In light of these new reports and other …


An Investigation Of The Effects Of Taking Remedial Math In College On Degree Attainment And College Gpa Using Multiple Imputation And Propensity Score Matching, Meghan A. Clovis Mar 2018

An Investigation Of The Effects Of Taking Remedial Math In College On Degree Attainment And College Gpa Using Multiple Imputation And Propensity Score Matching, Meghan A. Clovis

FIU Electronic Theses and Dissertations

Enrollment in degree-granting postsecondary institutions in the U.S. is increasing, as are the numbers of students entering academically underprepared. Students in remedial mathematics represent the largest percentage of total enrollment in remedial courses, and national statistics indicate that less than half of these students pass all of the remedial math courses in which they enroll. In response to the low pass rates, numerous studies have been conducted into the use of alternative modes of instruction to increase passing rates. Despite myriad studies into course redesign, passing rates have seen no large-scale improvement. Lacking is a thorough investigation into preexisting differences …


Engaging Students In The Practice Of Statistics Through Undergraduate Research, Debra L. Hydorn Jan 2018

Engaging Students In The Practice Of Statistics Through Undergraduate Research, Debra L. Hydorn

Mathematics

As statisticians, we engage in a variety of activities, some of which are regularly integrated into our undergraduate courses. However, the individual courses that comprise a mathematics or statistics degree program might not provide students with experiences in the broader range of activities that define the practice of statistics. To remedy this situation, faculty can consider developing and mentoring undergraduate research projects. This article briefly discusses the skills that comprise statistical practice along with some course and program options for helping students to develop these skills. Then, types of undergraduate research projects in statistics are described to help faculty generate …


Stat 380: Statistics And Applications, Yumou Qiu Jan 2018

Stat 380: Statistics And Applications, Yumou Qiu

UNL Faculty Course Portfolios

This portfolio prepares for the introduction level undergraduate statistic course (Stat 380) for the students with calculus background, which includes the course goals, contents as well as teaching methods for large session classes. Analysis and evaluation of student learning are also included. In-class activities and discussion helping students’ engagement are introduced. The homework is assigned by Canvas, which summaries the students’ solution and provides analysis for each student.


Facilitators And Outcomes Of Stem-Education Groups Working Toward Disciplinary Integration, Anna E. Bargagliotti Jan 2018

Facilitators And Outcomes Of Stem-Education Groups Working Toward Disciplinary Integration, Anna E. Bargagliotti

Mathematics Faculty Works

There is a growing societal recognition of the need for transdisciplinary scholarly collaboration which can enhance undergraduate physics, science, and engineering education. A regional conference/network with 100 university education researchers in physics and other STEM fields was formed to address three themes (problemsolving, computational thinking, and equity) with multiple goals including to strive for transdisciplinary publications. As part of an ongoing participant observation study, phone interviews were conducted 3-4 months later. One year later, publications that were completed as a result of the conference were analyzed for their disciplinary integration. The papers showed evidence of interdispliciplanry collaboration but transdiciplinary collaboration …