2021 Summer Research Methods Camp
The Achievement and Assessment Institute (AAI) in the School of Education and Human Sciences is pleased to announce the return of the Summer Research Methods Camp (formerly Summer Stats Camp) for 2021!
Graduate students, faculty, staff, government agencies, corporations and others are invited to attend Summer Camp. We are offering six weeks of sessions featuring the latest topics in research methodology. Summer Research Methods Camp begins in June and continues into July. All sessions will be delivered synchronously via Zoom.
Registration process depends on the participant's identity. Please choose the one that fits your situation.
1. Current KU graduate students can register for any OR all the sessions as EDUC698 (1-credit Professional Development Micro-Credential course) in summer 2021 through Enroll & Pay website, https://sa.ku.edu/index.html. Each student is allowed to register more than one session. KU students will be charged their regular tuition rate. Please consult your advisor to determine how these credits fit with your program plan.
2. Non-KU students: $550 per session. CLICK HERE to register and pay with a credit card. This option does not provide graduate credit.
3. Non-KU students who want KU graduate credit: $685 per session. First, CLICK HERE to register the session for $550 and pay with a credit card. Then pay $35 application fee to enroll as a non-degree-seeking student in Educational Psychology program (To submit an application, individuals should visit https://gradapply.ku.edu/apply, and then click “Apply” to start an application. When asked to indicate their application intention, select “The applicant does not intend to work for an advanced degree at KU at the time of admission.” On the Program Selection page, go to “Educational Psychology,” and select “Psychology & Research – Non Degree”). Then go to KU Enroll & Pay website https://sa.ku.edu/index.html to register EDUC698 session that students are interested in by paying $100 for each graduate credit they select.
4. Faculty, staff, and other employees from any educational institution (including KU), employees of non-profits, or government agencies: $550 per session. CLICK HERE to register and pay with a credit card.
Discounts for All Registrants
Enjoy an early bird discount of $20 if registered by May 1st, 2021.
Enjoy a multiple-session discount of $20 for each additional session you register for in addition to the early-bird discount.
If you want to register as a group (a minimum of 10 attendees), please contact Dr. Haiying Long at firstname.lastname@example.org for possible further discounts.
The morning session of each day will be at 9:00 a.m.—12:00 p.m., and the afternoon session will be at 1:30 p.m. — 4:30 p.m. Daily schedule coming soon!
|Week||Instructor||Topic||Course Descripiton||Course Site|
June 7–June 11
|Dr. Angela Murray||Survey Methodology||This session focuses on the most updated knowledge in survey methodology and covers a range of topics, including sampling strategies, questionnaire design, creating survey items, reliability and validity issues, and analyzing survey data. The purpose is for participants to develop their capacity to conduct a variety of survey research study types from marketing research to education research, program evaluation and policy-oriented studies, among others. Participants will engage in a mix of both individual and collaborative experiential learning activities with opportunities to apply course concepts to, and to receive personalized guidance on, current projects.||Coming soon!|
|Dr. Jake Thompson||Data Analysis in R||This session provides the most recent advances in using R statistical software environment to analyze data. It will cover topics including data visualization, data manipulation, import data, tidy data, prediction, classification, resampling, ensembling, modeling, and writing academic papers based on R results. Participants will take part in hands-on activities and practices and use their skills to answer research questions in different fields.||Schedule|
|Dr. Wei Wu||Handling Missing Data||Missing data are ubiquitous in social and behavioral science research due to nonresponse, invalid values, or attrition. When not handled correctly, missing data can cause biased parameter estimates and misleading statistical inferences. This session is designed to provide a solid understanding of the logic, implementation, and the most recent advances in modern techniques of handling missing data. It covers the following topics: missing data theory, traditional missing data techniques, maximum likelihood estimation, EM algorithm, multiple imputation, planned missing data designs, techniques for missing not at random data. The missing data methods will be demonstrated with both MPlus and R.||Coming soon!|
June 28–July 2
|Dr. Remy Dou||Social Network Analysis||Network analysis has been used to solve complex problems like identifying leaders of terrorist groups, understanding, and counteracting the spread of viruses, and even why some lesser-known entertainers sometimes become celebrities seemingly overnight. This session introduces basic notions about Social Network Analysis (SNA) and its applications within a variety of contexts. It will focus on concepts, theories, and principles of SNA as well as how SNA can be used as a tool to answer research questions related to social relationships, individual interactions, interactions between individuals and objects, and the association of these interactions with different research outcomes.||Coming soon!|
|Dr. Jade Caines Lee||Racial Justice and Equity in Research||Given our nation’s recent reckoning with racism and public displays of systematic oppression, as researchers, we must examine our own biases (hidden and unhidden) and determine how we address diversity, equity, and inclusion (DEI) issues in our theories, methods, and practices. This course aims to provide a practical opportunity for early, mid-level, and senior researchers to work through a problem of practice with an explicit focus on issues related to DEI. The primary goal is to give concrete and specific strategies to help quantitative and qualitative researchers align their practices with emancipatory thinking and take steps towards a more diverse, equitable, and inclusive approach towards research.||Coming soon!|
|Dr. Angela Murray &
Dr. Carolyn Daoust
|Conducting Research in Montessori Education||This session is designed to provide researchers from a variety of fields with the insights necessary to pursue a line of inquiry in Montessori education. Participants will take part in hands-on learning activities delving into the current literature, identifying important research questions, addressing unique research design issues, and exploring issues related to conducting research in Montessori environments.||Coming soon!|
All the sessions will be synchronous on Zoom. If you are a KU affiliate and planning to attend via Zoom, you can go to kansas.zoom.us to access your account. If you are not affiliated with KU, a Zoom account can be created for free. Go to zoom.us to create an account. It is strongly encouraged to download the Zoom client before the session begins.
All sessions will be recorded on Zoom and shared with attendees on the course website.
Dr. Angela Murray
Dr. Angela Murray is an assistant research professor and lecturer at the University of Kansas (KU), teaching graduate and undergraduate courses in research methods and statistics in both the School of Business and the School of Education and Human Sciences. She is founder and director of the KU Center for Montessori Research, the founding chair of the AERA Montessori Special Interest Group, and founding editor of the Journal of Montessori Research. She has provided strategic research consulting for major national brands of industries and businesses as well as grant funded research in education and business. She is experienced in a range of research methods, including survey research, program evaluation, multivariate statistics, ethnography, and mixed methods.
Dr. Jake Thompson
Dr. Jake Thompson is a senior psychometrician at Accessible Teaching, Learning, and Assessment Systems (ATLAS) at the University of Kansas (KU) where he works on the Dynamic Learning Maps alternate assessment and the Innovations in Science Map, Assessment & Report Technologies project. His research interests are in the areas of R programming and psychometrics, specifically the application of diagnostic classification models to educational assessment. He has published in journals such as Applied Measurement in Education and Educational Measurement: Issues and Practice and presented at annual conferences of National Council on Measurement in Education Annual Meeting, International R User Conference, Conference on Test Security, and Psychonomic Society Annual Meeting. He developed several R packages, including dlmr: The Dynamic Learning Maps psychometric operational workflow, rstandlm: Bayesian psychometrics for Dynamic Learning Maps, ratlas: ATLAS formatting functions and templates, and jayhawkdown: A bookdown template for University of Kansas dissertations, and has taught R workshops on data analysis, data mining, data visualization, and data manipulation since 2013.
Dr. Wei Wu
Dr. Wei Wu is an Associate Professor of Psychology at Indiana University-Purdue University Indianapolis. Her research has been primarily focused on how to use advanced methods such as multiple imputation to deal with missing data problems in various analytical contexts such as categorical data analysis, mediation analysis, measurement invariance testing, and multilevel modeling. She was a co-PI on an NSF grant on planned missing data designs, and a statistical consultant on a Patient-Centered Outcomes Research Institute (PCORI) grant. She was also a statistician for four NIH funded longitudinal studies. Dr. Wu currently serves as an Associate Editor for Behavioral Research Methods and Consulting Editor for Psychological Methods. She was also a panel reviewer for Institute of Education Sciences Social and Behavioral Two scientific peer review panel.
Dr. Remy Dou
Dr. Remy Dou is an assistant professor in the Department of Teaching and Learning and the STEM Transformation Institute at Florida International University. His research focuses on science learning in non-school settings like zoos, parks, and in the home, and how those experiences shape factors related to STEM interest, career choice, identity, and equity, using social network analysis, advanced statistics, and qualitative methods. He has published in journals such as Science Education, International Journal of Science Education, Research in Science Education, and Physical Review Physics Education Research. He was an Albert Einstein Distinguished Educator Fellow at the National Science Foundation and is a current recipient of the National Science Foundation CAREER Award. He has also served as an Online STEM Resources Roundtable advisor to the White House Office of Science and Technology Policy.
Dr. Jade Caines Lee
Dr. Jade Caines Lee is an Assistant Professor of Education at the University of New Hampshire (UNH). Dr. Lee’s primary research interests relate to the intersections of educational evaluation and assessment. She studies validity and fairness issues as it relates to instrument development and instrument use within evaluation practice; evaluates interventions that may improve teaching and learning; and collaborates with practitioners in order to increase stakeholder participation in assessment and evaluation design. She was an Institute of Education Sciences’ postdoctoral fellow at the University of Pennsylvania and a K-12 public school teacher in New York City and the metro-Atlanta, GA regions. Dr. Lee has worked as a researcher for several organizations, including the National Center for Research on Evaluation, Standards, & Student Testing at UCLA and the Board of Regents of the University System of Georgia.
Dr. Carolyn Daoust
Dr. Carolyn Daoust is an independent researcher and consultant with 35 years of experience as a Montessori classroom teacher, teacher educator, and program coordinator. She earned her doctorate from University of California, Berkeley in human development and education and holds Montessori teaching credentials from the American Montessori Society (ages 3–6) and the Association Montessori Internationale (ages 6–12). She worked as a faculty member at St. Mary’s College of California for 20 years. Her research interests include Montessori implementation and practice, Montessori teacher education, and children’s mathematical thinking. Dr. Daoust served on the board of directors of the American Montessori Society (AMS) and was a member of AMS's research committee from 2007 to 2013.
To facilitate instructor's preparations for each session, please register no later than 72 hours before the listed start date.
Policies for Withdrawal, Refund, and Cancellation
Registrants may withdraw from each session and receive a full refund if withdrawal happens three weeks before the start of the session. But there will be a $20 processing fee for each session withdrawn.
Withdrawal happening two weeks before the start of the session is subject to a 25% late withdrawal fee and only 75% of the payment is refundable. Withdrawal happening one week before the start of the session is subject to a 50% late withdrawal fee and only 50% of the payment is refundable. No refund will be issued if withdrawal happens after the start of the session.
If attendees register more than one session and receive multiple-session discount, withdrawal of each session will result in the loss of each multiple-session discount.
In the rare case that a session has to be cancelled due to low enrollments, all registrants will be notified via email at least one week prior to the start date of the session and you will receive a full refund without any other fees incurred.
INFORMATION ABOUT SESSIONS CONDUCTED IN CHINESE:
堪萨斯大学（University of Kansas，KU）创建于1865年，是美国著名的一类研究型大学之一。堪萨斯大学教育及人类科学学院（www.soehs.ku.edu）创建于1909年，连续多年稳居全美400多个全国性教育学院中前二十名，公立大学教育学院前十名。其中特殊教育专业多年排名全美第一。
- 北京时间每天20点到21点为答疑时间（office hours）
- 详情请见 http://aai.ku.edu/summercamp
第一周 国际 期刊文章的撰写及发表