The following list of faculty have indicated that they are open to collaborating on data analysis with faculty colleagues as part of the Summer Scholarship Institute (SSI) Data Analysis track.

Deadline: April 15, 2024

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QUANTITATIVE EXPERTISE

Quantitative data is data that measured using numerical values (e.g., 1 to 5 Likert scales; numeric grades).

Faculty

Statistical Expertise

Danette Barber

Research Analyst

Danette.Barber@nsc.edu

Statistical tests: Descriptive Statistics, T-test and ANOVA, Chi-Square, Correlation/Multiple Regression

Advanced Statistics: Path Analysis/Structural Equation Modeling, Hierarchical Linear Modeling

Chad Curtis

Assistant Professor of Data Science

chad.curtis@nsc.edu

Statistical tests: Descriptive Statistics, T-test and ANOVA, Correlation/Multiple Regression

Penny Harvey

Part-Time Instructor

Penny.harvey@nsc.edu

Statistical tests: Descriptive Statistics, T-test and ANOVA, Chi-Square, Correlation/Multiple Regression

Pete Martini

Assistant Professor of Psychology

pete.martini@nsc.edu

Statistical tests: Descriptive Statistics, T-test and ANOVA, Chi-Square, Correlation/Multiple Regression

Advanced Statistics: Path Analysis/Structural Equation Modeling, Hierarchical Linear Modeling

Chrisabelle Mefferd

HHS Lecturer

Chrisabelle.mefferd@nsc.educator

Statistical tests: Descriptive Statistics, T-test and ANOVA, Chi-Square, Correlation/Multiple Regression

Laura Naumann

Associate Professor of Psychology

laura.naumann@nsc.edu

Statistical tests: Descriptive Statistics, T-test and ANOVA, Correlation/Multiple Regression

Advanced Statistics: mediation; moderation

Eugene Shapiro

Part-Time Instructor, Music

Eugene.Shapiro@nsc.edu

Statistical tests: Descriptive Statistics, T-test and ANOVA, Chi-Square

Jennifer Shultz

Part-Time Instructor, Psychology

Jennifer.Shultz@nsc.edu

Statistical tests: Descriptive Statistics, T-test and ANOVA, Chi-Square, Correlation/Multiple Regression

Bryan Sigel

Associate Professor of Biology

Bryan.sigel@nsc.edu

Statistical tests: Descriptive Statistics, T-test and ANOVA, Chi-Square, Correlation/Multiple Regression

Advanced Statistics: Hierarchical Linear Modeling; Logistic regression; non-metric multidimensional scaling

QUALITATIVE EXPERTISE

Qualitative data is data in the form of words or narratives. It is collected using open-ended questions, focus groups, or interviews and appears in narrative form.

Faculty	Qualitative Expertise
Christine Beaudry Associate Professor of Social Studies Education Christine.beaudry@nsc.edu	Narrative self study ethnography CDA case study critical qualitative mixed methods
Sherrilyn Coffman Professor sherrilyn.coffman@nsc.edu	Phenomenology and grounded theory designs content analysis van Manen and Colaizzi to analyze interview and essay data
Penny Harvey Part-Time Instructor Penny.harvey@nsc.edu	Content analysis thematic analysis grounded theory integrative analysis rapid analysis.
Pete Martini Assistant Professor of Psychology pete.martini@nsc.edu	Focus groups
Jessica Parks Assistant Professor of Business jessica.parks@nsc.edu	General qualitative Thematic analysis, specifically Reflexive Thematic Analysis (RTA)
Erin Rider Assistant Director of Faculty Development and Diversity Discipline: Sociology Erin.Rider@nevadastate.edu	Grounded theory Coding- initial coding, axial and theme coding, and memo-ing, and how to create a coding process for methodology Use of Qualitative software (MAXQDA and NVivo experience) Coding- both a priori (deductive codebook) or generated from data Semi-Structured Interviews, and oral history
Eugene Shapiro Part-Time Instructor, Music Eugene.Shapiro@nsc.edu	Collecting both quantitative & qualitative data for ABA (Applied Behavioral Analyses) therapy
Bryan Sigel Associate Professor of Biology Bryan.sigel@nsc.edu	Coding