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Sample Projects

Projects are the problem, analysis and write-up of the jobs that come into the Quantitative Consulting Center (QCC). We do projects for Biola faculty and graduate students as well as off-campus clients. Below are a few highlighted projects our center has completed to date.

 

Academia

Dementia

Dr. Suzanne Welty (Biola Communication Sciences and Disorders Department) and some of her Master’s students conducted a dementia diagnosis literacy survey of Speech Language Pathologists (SLPs). Their objective was to determine how well SLPs educate patients and their caregivers about dementia. We supplied the graphs and descriptive statistics.

Consultant: Jason Wilson | Students: Julia Hildebrandt, Joshua Potter, Saritwat Sririntrachai, Joshua Potter, and Joseph Lane | Spring 2021

How Effective is Picture Communication with Bilingual Speech Clients?

Dr. Suzanne Welty (Biola Communication Sciences and Disorders Department) and some of her Master’s students conducted a survey of Speech Language Pathologists (SLPs) on the topic of picture communication with bilingual clients (primarily 2-4 year old autistic children). Their objective was to learn about the effectiveness of picture communication. We supplied the graphs and descriptive statistics.

Consultant: Jason Wilson | Students: Julia Hildebrandt, Joshua Potter, Saritwat Sririntrachai, Alberto Reyna and Joseph Lane | Spring 2021

Immune Response in Rats

Dr. Brent Peterson (Biola Kinesiology and Health Science Department) requested review of his preliminary experimental design regarding the effect of Vitamin D supplementation and exercise in relation to tumors on myeloid derived suppressor cells in rats. Through conducting a power analysis, we verified that Dr. Peterson’s planned sample size would exceed the required power. In addition, we recommended a design alteration which would provide more information for the same sample size and level of power.

Consultant: Jason Wilson | Students: Jessica K. Van Der Hulst, Ranita S. Tang | Spring 2021

How do Speech Language Pathologists Conduct Bilingual Assessments?

Dr. Yvanna Ugarte-Hernandez (Biola Communication Sciences and Disorders Department) and some of her Master’s students conducted a survey of Speech Language Pathologists (SLPs) on the subject of bilingual assessment. Their objective was to evaluate standardized and nonstandardized approaches to language assessment in bilingual students in the school setting and to extend their knowledge of best practices for bilingual assessment. We answered statistical questions and supplied the graphs and descriptive statistics.

Consultant: Jason Wilson | Spring 2021

Nursing Survey

Professor Sarah Flores (Biola Nursing Department) and three nursing students conducted a study with PHRRC approval to determine the effects of previous clinical employment on student’s competence and confidence in a baccalaureate nursing program. We provided guidance on how to determine (a) competence and (b) confidence in the experience and no experience groups, as well as how to test for statistically significant differences between the groups.

Consultant: Jason Wilson | Spring 2021

Physical Activity and Fitness Levels of Biola Faculty and Staff

Professor Kristinna Altamirano (Biola Kinesiology and Health Science Department) et. al. conducted a survey of Biola faculty and staff on physical activity and fitness levels. They brought us a draft manuscript of a journal article which they wanted the statistics reviewed, as well as some specialized graphs created. We distributed the statistics of the article between all students, with two students per section, and performed the thorough review sought, with graphs produced.

Consultant: Jason Wilson | Students: Julia Hildebrandt, Marcos Mazariegos, Saritwat Sririntrachai, Michael Fritchman, Joseph Lane, Marcos Mazariegos, Joshua Potter, Kimberly R. Najarian and Virginia J. Situ., Alberto Reyna | Spring 2021

COVID-19 Meta-Analysis

Dr. Don Galbadage (Associate Professor, Kinesiology and Public Health) brought a dataset with the frequency of four categories of COVID-19 patient extracted from 31 qualified research articles. The categories were overall, severe, critical, and mortality cases. We performed a meta-analysis of on the data in each of the categories and wrote the statistical portions of the resultant paper.

Consultant: Jason Wilson | Spring 2020

New Cross-Cultural Adaptability Teaching Technique (Modern Languages)

Dr. Julianne Bryant (Professor, Modern Languages) brought data from her administration of the Cross-Cultural Adaptability Inventory (CCAI). The study was conducted on three different classes: Spanish Treatment Class, Spanish Control Class, and English Literature Class measured at the beginning and end of the semester. The purpose of the study was to see whether a new teaching technique in Spanish resulted in greater cross-cultural adaptability. The new technique gave the highest increases in Flexibility/Openness and Perceptual Acuity, suggesting the approach is promising. Further studies were recommended for confirmation.

Consultant: Jason Wilson | Students: Hongyue “Jasper” Jiang, Daniel Monroe, Christian Rim, Matt Teodoro, Janice Tjoa, & Grace Yoon | Spring 2020

Deities and Actors in Ancient Inscriptions (Art)

Dr. Zehavi Husser (Chair and Associate Professor, Department of Art) brought a dataset with extensive information obtained from ancient inscriptions. Our task was to create an R script that allows the user to reorganize and manipulate the dataset as desired. We coded two primary functions in R to do the following: allow the user to input an arbitrary number of specific columns and display the selected information in the desired format. A report and a user’s manual for the R script were written.

Consultant: Jason Wilson | Students: Grace Yoon & Hongyue “Jasper” Jiang | Spring 2020

Speech Language Pathologist Survey Analysis (Communication Science and Disorders)

Dr. Teri Clemons (Assistant Professor, Communication Sciences and Disorders) brought in a dataset from a survey from a sample of 165 speech-language pathologists (SLP). Variables included years of experience, work settings, types of diseases dealt with, and their comfort level when recommending end of life decisions for patients with advanced degenerative diseases. Our task was to find the correlation between SLP comfort level and each of the three elements. A report was prepared.

Consultant: Jason Wilson | Students: Daniel Monroe, Janice Tjoa | Spring 2020

Concussion Survey Design (Communication Science and Disorders)

Dr. Teri Clemons (Assistant Professor, Communication Sciences and Disorders) and Hannah Hunsaker (M.S. Candidate) consulted on a survey design to assess the proportion of students at Biola who have experienced a concussion, and characterize the effects of concussions on students who have had them. The purpose of this research was to study the correlation and significance of the physiological, emotional, and physical symptoms.

Consultant: Jason Wilson | Students: Hongyue “Jasper” Jiang, Daniel Monroe, Christian Rim, Matt Teodoro, Janice Tjoa, & Grace Yoon | Spring 2020

Data Journalism (Journalism)

Dr. Michael Longinow (Professor; Digital Journalism and Media) invited the Quantitative Consulting Center to teach two sessions of his Data Journalism class on data analysis with Excel. Topics included: data cleaning, descriptive statistics with functions, location data and maps, and moving averages. An Excel Workbook with detailed examples and explanations was created for the sessions.

Consultant: Jason Wilson | Student: Hongyue “Jasper” Jiang | Spring 2020

Screening Test (Health Center)

Sarah Templeton (Director, Biola Health Center) asked how well a screening test they developed will match the results after referral. We recommended a scatterplot with Spearman’s correlation and two-way tables with chi-squared tests of independence. We designed an excel template in which the data can be entered, with error-checking and test results automatically generated. A manual was written and included.

Consultant: Jason Wilson | Students: Jasper Jiang, Crystal Leem, Daniel Shen, & Andy Van Antwerp | Fall 2019

Microarray (Kinesiology & Health Science)

Dr. Don Galbadage (Professor, Kinesiology and Public Health) brought a microarray dataset from a study on the expression of virulent genes in the bacteria Mycobacterium tuberculosis. Our task was to initially to troubleshoot data formatting issues for submission to GEO (Gene Expression Omnibus). After identifying the problems, our task expanded to performing a re-normalization of the original data using the limma package from Bioconductor.

Consultant: Jason Wilson | Student: Crystal Leem | Fall 2019


Business/Government

Survey Instrument Validation, Part II

Helen Mitchell (Convene Corporation) sought analysis on her third round of data from her Life Analytics Whole Life Assessment as a continuation from our Fall 2019 Project. We performed a confirmatory factor analysis, as well as correlation study, on the data. The inventory was determined to be validated, and a report provided for documentation.

Consultant: Jason Wilson | Students: Joshua Potter, Alberto Reyna Jr, Ranita Tang | Spring 2021

Survey Instrument Validation (Convene)

Helen Mitchell (Leader of Learning Initiatives, Convene Corporation) asked us to perform survey instrument validation on the Life Analytics Whole Life Assessment she had developed. Convene’s mission is to connect, equip and inspire Christian CEOs and business owners to grow exceptional businesses and become higher-impact leaders to honor God. We calculated Chronbach’s alphas and performed a factor analysis on the data that identified which items were validated and which needed revision.

Consultant: Jason Wilson | Students: Daniel Shen & Andy Van Antwerp | Fall 2019


Industry

Ground Penetrating Radar, Phase 3

Garrett Stevenson and Brian Worthmann (Lawrence Livermore National Laboratory, LLNL) employed us to continue our previous work with them from Fall 2019 and Spring 2020. In this phase, we were tasked with developing a statistical tool to compare the detection quality between an N-mode ground penetrating radar array versus an M-mode array. Preliminary analysis was conducted using R and the final tool was coded in Python. Our work consisted of linear regression, logistic regression, principal component analysis, support vector machines, and additional binary classifiers.

Consultant: Jason Wilson | Students: Joseph Lane, Marcos Mazariegos, Joshua Potter, Kimberly R. Najarian, Virginia J. Situ; Julia Hildebrandt, Saritwat Sririntrachai, Michael Fritchman, and Alberto Reyna Jr | | Spring 2021

Detectability Scores Model for Ground Penetrating Radar, Phase 2 (Lawrence Livermore National Lab)

Garrett Stevenson and Brian Worthmann (Lawrence Livermore National Laboratory, LLNL) employed us to perform the second phase of Ground Penetrating Radar analysis (GPR, see Phase 1, Fall 2019). In this phase, we refined the model to calculate detectability scores for buried objects that are pulsed by GPR. In addition, we were provided a set of “noise” readings whereby we were able to estimate the probability an object was visible under varying conditions. Data for 22,000 detections of 500 objects with 27 variables were provided. After considering general linear models, CART classification trees, and random forests, the best general linear models were selected and reported.

Consultants: Jason Wilson & Wlamir Xavier | Students: Hongyue “Jasper” Jiang, Daniel Monroe, Christian Rim, Matt Teodoro, Janice Tjoa, & Grace Yoon | Spring 2020

Detectability Scores Model for Ground Penetrating Radar (Lawrence Livermore National Lab)

Garrett Stevenson and Brian Worthmann (Lawrence Livermore National Laboratory, LLNL) employed us to develop a model to calculate detectability scores for buried objects that are pulsed by ground penetrating radar. Data for 16,000 detections of 700 objects with 25 variables were provided. The best general linear model was found, tested, and coded in Matlab. The final report also included the two next best models, along with the salient details of the process and observations during development.

Consultants: Jason Wilson & Wlamir Xavier | Students: Jasper Jiang, Daniel Shen, & Andy Van Antwerp | Fall 2019


Nonprofit/Church

Open Doors USA Mailing and Donation Response Efficiency

The nonprofit Open Doors provided us with four large datasets containing marketing and donation data (6 million+ rows, 40+ variables). The goal was to design an experiment to test whether altering the mailing frequency of direct mail donation appeals significantly impacted their donations. The first step was getting a feel for the data and narrowing it down. We then settled on a matched pair design that could detect a small (Cohen’s d=0.2) change in donations with over 95% power with a 5% level of significance using a sample size of 400 pairs.

Consultant: Jason Wilson | Students: Julia Hildebrandt, Marcos Mazariegos, Saritwat Sririntrachai, Michael Fritchman, Joseph Lane; Joshua Potter, Kimberly R. Najarian, Virginia J. Situ and Alberto Reyna Jr | Spring 2021

Member Survey (Christian Educators Association, International)

David Schmus (Christian Educators Association, Int.) consulted with us with questions about the analysis of a large survey of their members. We advised on techniques of analysis and future survey collection.

Consultant: Jason Wilson | Students: Jasper Jiang, Crystal Leem, Daniel Shen, & Andy Van Antwerp | Fall 2019