CRAME Consultants
ASK CRame DROP-IN Student SESSIONS
ASK CRAME sessions are for graduate students in the Faculty of Education seeking answers to contained methodological and statistical questions. These sessions are designed for graduate students to bring specific questions about design and analysis pertaining to their own graduate work.
UPCOMING SESSIONS in ED N6-110:
Friday January 26, 2024; Thursday March 7, 2024; Thursday April 25, 2024 from 1:00-2:30pm
Sign up here: https://forms.gle/d2NANAEz1ccDg2NJ8
CONSULTATION FOR FACULTY MEMBERS
CRAME is pleased to release the following list of graduate students consultants for the 2023-2024 academic year. These students were selected for specific skill sets that are regularly sought out by faculty members across campus. Please read from the list of skills and directly contact a consultant to discuss your needs and their availability for paid work.
Tarid Wongvorachan
Methodological skills: Quantitative analysis (statistics, data mining, natural language processing), psychometrics, mixed methods research, citation management (Zotero)
Focal Area: Social science
Contact: wongvora@ualberta.ca
Augustine A Botwe
Methodological skills: Research design (quantitative, qualitative, and mixed methods), Community-based participatory research, action research; Quantitative analysis (statistics, data mining); Qualitative analysis; Psychometrics; Citation management (Zotero, Endnote)
Focal Areas: Social science, Maternal and Child Health, Early Childhood Development (ECD)
Contact: botwe@ualberta.ca
Surina He
Methodological skills: Basic and advanced quantitative analysis (t-test; ANOVA and its’ variation; linear, logistic and multilevel regression; mediation; moderation; principal component analysis and factor analysis; structural equation modelling, especially analysis for longitudinal data); Educational data mining: basic machine learning, process mining; Educational and psychological measurement; Citation management (Zotero, Endnote)
Focal Areas: Social science
Contact: surina1@ualberta.ca
Bin tan
Methodological skills: Expertise in survey development, critique, selection, validation, and data collection; Statistical analyses for small-scale experiments (e.g., hypothesis testing for various experimental designs). Statistical analyses for mid- to large-scale data (e.g., structural equation modeling, machine learning, natural language processing)
Focal Areas: Social science, patient-reported outcome measures
Contact: btan4@ualberta.ca
guher gorgun
Methodological skills: Quantitative data analysis (e.g., regression, ANOVA, t-test), psychometrics (e.g., item response theory), survey development and analysis, structural equation modeling, natural language processing, data mining, machine learning, and software programs such as R, SPSS, Python, Mplus, and Latex.
Social Science (e.g., psychology, education)
Focal Areas: Social science, education, psychology
Contact: gorgun@ualberta.ca
ashley clelland
Methodological Skills: Survey Design (i.e., question development, form design, pilot testing, analysis); Program Evaluation (i.e., methodology, analysis, reporting); Qualitative Methods (i.e., protocol design, thematic analysis, NVIVO); Quantitative Methods (i.e., t-test, ANOVA, regression, structural equation modeling, SPSS, R); Data Visualization
Focal areas: Applied health, education, social science
Contact: adc@ualberta.ca
xiaoxiao liu
Methodological skills: Data Preprocessing (e.g., recode missing values, merge data), Quantitative analysis (e.g., t-test, regression, ANOVA, multilevel linear modeling, structural equation modeling), Educational data mining (e.g., k-means clustering), Machine learning, Data Visualization. Software programs such as R, SPSS, Python, Mplus, and HLM.
Focal Areas: Social science, education
Contact: xiaoxia6@ualberta.ca