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CV.Rmd
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---
title: "CV"
description: |
Adam C. Garber
Santa Barbara, CA | agarber@ucsb.edu
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = FALSE)
```
## EDUCATION
Ph.D. | Education & Applied Quantitative Methods (2024) <br />
*'A Guide to the Measurement of Categorical Constructs: A Latent Class Analysis Modeling Approach'* <br />
Advisors | Professor Andrew Maul & Professor Karen Nylund-Gibson <br />
Interdisciplinary Emphasis | [Quantitative Methods in Social Science](https://www.qmss.ucsb.edu/Program%20Goals) <br />
University of California, Santa Barbara <br />
MA | Education & Special Education (2017) <br />
University of California, Santa Barbara <br />
BA | Psychology (2011) <br />
University of California, Santa Cruz <br />
## TEACHING EXPERIENCE
Lecturer | [Bren School of Environmental Science and Management](https://bren.ucsb.edu/) (Starting; Winter, 2025) <br />
EDS 241 | Environmental Policy Evaluation | Graduate course <br />
University of California, Santa Barbara
Associate Instructor | Education (Spring, 2023) <br />
ED 214C | Linear Models for Data Analysis | Graduate course <br />
University of California, Santa Barbara
Teaching Assistant | Education (Spring, 2022) <br />
ED 145 | Introduction to Research Methods | Undergraduate course <br />
University of California, Santa Barbara
Teaching Assistant | Education (Spring, 2020) <br />
ED 216C | Structural Equation Modeling | Graduate course <br />
University of California, Santa Barbara
Teaching Assistant | Education (Winter, 2020) <br />
ED 216B | Factor Analysis | Graduate course <br />
University of California, Santa Barbara
Teaching Assistant | Education (Fall, 2019) <br />
ED 216G | Applied Mixture Modeling | Graduate course <br />
University of California, Santa Barbara
Teaching Assistant | Education (Spring, 2019) <br />
ED 214C | Linear Statistical Models for Data Analysis | Graduate course <br />
University of California, Santa Barbara
Teaching Assistant | Freshman Summer Start Program (Summer, 2017) <br />
INT95 | The Modern Research University | Undergraduate course <br />
University of California, Santa Barbara
## WORKSHOPS
Course Instructor (Fall, 2022) <br />
QuantFish Online Course: Introductory to Advanced MplusAutomation. <br />
https://www.goquantfish.com/courses/mplus-automation
Teaching Assistant (Summer, 2022) <br />
Professional Development Intensive Two Day Course: Introduction to Latent Transition Analysis. <br />
[Methods U](https://methodsu.weebly.com/), GGSE, University of California, Santa Barbara
Workshop Instructor (Winter, 2021) <br />
Professional Development Two Day Course: Introduction to MplusAutomation. <br />
Norwegian University of Science and Technology
Teaching Assistant (Winter, 2019) <br />
Professional Development Mini-Course: Introduction to Latent Transition Analysis. <br />
AERA Annual Meeting Toronto, Canada
Teaching Assistant (Summer, 2019) <br />
Professional Development Intensive Two Day Course: Introduction to Latent Transition Analysis. <br />
Methods U, GGSE, University of California, Santa Barbara
## ACADEMIC WORK EXPERIENCE
#### APPOINTMENTS | Graduate Student Researcher (GSR)
GSR | [Mixture Modeling for Discipline Based Education Researchers](https://mm4dbers.education.ucsb.edu/mixture-modeling-training) (3 quarters; 2023 – 2024) <br />
Position: Hosted by Gervitz Graduate School of Education (50% appointment) <br />
Principal Investigator: Dr. Karen Nylund-Gibson
GSR | [Institute of Mixture Modeling for Equity-Oriented Researchers, Scholars, & Educators](https://immerse.education.ucsb.edu/overview) (2 quarters; 2022 – 2023) <br />
Position | Gervitz Graduate School of Education (50% appointment) <br />
Principal Investigator | Dr. Karen Nylund-Gibson
GSR | Implicit Bias Study (2020 – 2022) <br />
Position | Westmont College (50% appointment) <br />
Principal Investigator | Dr. Carmel Saad
GSR | Graduate Statistics Support Peer (3 quarters; 2019 – 2020) <br />
Position | Gervitz Graduate School of Education (25% appointment)
GSR | Enhancing Success in Transfer Education for Engineering Majors (2016 – 2017) <br />
Position | Department of Chemical Engineering (50% appointment) <br />
Principal Investigator: Dr. Michael Gerber
Research Assistant (2011) <br />
Position | Cognitive Psychology
Principal Investigator: Professor Alan H. Kawamoto <br />
University of California, Santa Cruz
#### GRANT WRITING EXPERIENCE
Grant Writing Research Assistant (2020) <br />
Investigator: Dr. Karen Nylund-Gibson <br />
Applied Mixture Modeling Training Workshops for Discipline Based Education Researchers <br />
Accepted | National Science Foundation
Grant Writing Research Assistant (2019) <br />
Investigator: Dr. Karen Nylund-Gibson <br />
Applied Mixture Modeling Training Workshops and Resources for Education Researchers <br />
Accepted | Institute of Education Sciences
Grant Writing Research Assistant (2015) <br />
Investigators: Dr. Mian Wang & Dr George Singer <br />
A comparative study of patterns of family support for children with developmental disabilities: <br />
Similarities and differences in U.S. and China. Submitted to Department of Education.
## PUBLICATIONS
Nylund-Gibson, K., Garber, A., Carter, D., Simon, O., Whaling, K., Arch, D., Chan, M., Lawrie, S., and Tartt, E. (2023) [Ten Frequently Asked Questions about Latent Transition Analysis](https://psycnet.apa.org/record/2022-79821-001). Psychological Methods.
Nylund-Gibson, K., Garber, A., Nishina, A., Bellmore, A., Witkow, M., Singh, J. (2023). [The Utility of Latent Class Analysis to Understand Heterogeneity in Youth Coping Strategies: A Methodological Introduction](https://journals.sagepub.com/doi/full/10.1177/01987429211067214). Behavioral Disorders, 48(2), 106-120.
Denson, N., Ing, M., Nylund-Gibson, K., Garber, A., Whaling, K., Chan, M., Carter, D., Arch, D. (2022). [A latent class analysis of students' openness to learning from diverse others](https://psycnet.apa.org/record/2023-19795-001). Journal of Diversity in Higher Education.
Felix, E.D., Afifi, T., Horan, S. M., Meskunas, H., & Garber, A. (2020). [Why family communication matters: The role of co-rumination and topic avoidance in understanding post-disaster mental health](https://link.springer.com/article/10.1007/s10802-020-00688-7). Journal of abnormal child psychology.
## PRESENTATIONS
Garber, A. & Nylund-Gibson, K. L. (2021) Structural Invariance in Multigroup Latent Class Analysis: Perception of Disability Status and Academic Expectations [Symposium]. AERA Annual Meeting
Garber, A., Wang, M. & Nylund-Gibson, K. L. (2021) Typologies of Autism: The Utility of Latent Class Analysis to Understand Heterogeneity in Social Responsiveness [Symposium]. AERA Annual Meeting
Garber, A. & Nylund-Gibson, K. L. (2020) Structural Invariance in Multigroup Latent Class Analysis: Perception of Disability Status and Academic Expectations [Symposium]. AERA Annual Meeting San Francisco, CA http://tinyurl.com/vg5nw9q
Nylund-Gibson, K. L. & Garber, A. (2020) Understanding Change in Latent Transition Analysis Models Using Auxiliary Variables [Symposium]. AERA Annual Meeting San Francisco, CA http://tinyurl.com/vuslpat
Carter, D., Garber, A., Nylund-Gibson, K. L., Dowdy, E. & Furlong, M. J. (2020) Understanding Patterns of Social-Emotional Strengths Across Students With and Without Disabilities: Different, Not Worse [Symposium]. AERA Annual Meeting San Francisco, CA http://tinyurl.com/qlyypv5
Garber, A. & Nylund-Gibson, K. L. (2019) Conditional Mediation in Latent Class Analysis [Symposium]. AERA Annual Meeting Toronto, Canada
Garber, A. & Wang, M. (2017) Responsive Early Education and Intervention: A Call for School and Family Collaboration [Poster]. CEC Annual Meeting Boston, MA
## WORK EXPERIENCE
Behavioral Interventionist (June 2016 – 2020) <br />
Koegel Autism Center <br />
University of California, Santa Barbara <br />
Behavioral Interventionist (September 2014 – June 2017) <br />
Holdsambeck & Associates <br />
Santa Barbara, CA
Behavioral Interventionist (May 2014 – December 2014) <br />
Trumpet Behavioral Health <br />
Santa Barbara, CA <br />
## ACADEMIC PROJECTS
Website: [`Tidy Workflow with MplusAutomation`](https://garberadamc.github.io/project-site/) <br />
Teaching materials & tutorials in advanced quantitative methods taught using R. <br />
## SKILLS
- `R` | `RStudio` | `Rmarkdown`
- `Data` | Analysis | Manipulation | Visualization | Presentation
- `Github` | Website Development | Collaborative Project Repositories
## COURSES
#### GRADUATE LEVEL COURSES
**Quantitative** Causal Inference, Political Methodology (PS 207) • Applied **Econometrics** (ESM 246) • Introduction to **Environmental Data*Analysis** & Stats in R (ESM 206) • Advanced Research Methods & Statistics in **Linguistics** (LING 202) • Applied **Mixture** Models (ED 201F) • **Structural Equation Modeling** (ED 216F) • Factor Analysis (ED 216B) • Advanced Multivariate Statistics (ED 216 A) • Introduction to Statistics (ED 214A) • Inferential Statistics (214B) • Linear Statistics (ED 214C)
**Qualitative** Research Methods (ED 221A) • Constructing **Measures** (ED 217A) • Analyzing and Validating Measures (ED 217B) • Language as **Culture** (LING 227) • Cultural Psychology (ED 201F) • Anthropological Perspectives on Education (ED 205) • **Neuroscience** (PSYCH 211) • Behavioral Neuroendocrinology (PSYCH 235) • Teaching **Psychology** (PSYCH 590A) • Advances in the Learning Sciences (210A) • Classroom Ethnography (ED 221B) • Cognitive Perspectives on Achievement Motivation (ED 209I) • **Cognitive Science**, Spatial Cognition (INT 201A) • Cognitive Science & Similarity (INT 201B) • Cognitive Science and the Humanities: Bridging the Divide (INT 201C)
**Special Education** Law (ED 222D) • Cognitive Development in **Autism** and Other Severe Disabilities (CNCSP 212) • Cognitive Assessment in Professional Psychology (CNCSP 250) • **Behavioral** Assessment and Intervention for Children and Adolescents (CNCSP 256) • Academic and Cognitive Characteristics of Students with Mild Disabilities (ED 222B) • Professional Issues in Severe Developmental Disabilities (ED 291) • Social and Affective Characteristics of Children with **Learning Disabilities** (ED 222C) • Single Case Experimental Design (ED 201D) • **Exceptional Children** (ED 222A)
#### AUDITED COURSES
**Causal Inference** for Social Science (PS 207) • Introduction to **Multilevel Modeling** (UCLA; PSYCH256A) • Advanced Methods for Environmental **Data Analysis** in R (ESM 244) • **Bayesian** Statistics (PSTAT 115) • Introduction to **Machine Learning** (PSTAT 231) • Machine Learning (CS 165B) • Survey Design & Environmental Public Opinion (ESM 218) • Computational Neuroscience (PSYCH 265)