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Workshops & Seminars

MONDAY, AUGUST 23, 2021

Basic Survey Construction
9 – 11:30 a.m.
Jill Hendrickson Lohmeier, Associate Professor
Survey instruments are a basic research tool used at some point by most social scientists and by others to gain relatively quick information from a large number of people. This workshop will cover the basic dos and don’ts of survey construction including how to begin the survey and how to construct and order items. While focused primarily towards beginners, all levels are welcome.
Level: Beginner
Exploratory Factor Analysis in SPSS
12:30 – 3 p.m.
HsienYuan Hsu, Assistant Professor
Exploratory Factor Analysis (EFA) has been widely used in social science research to investigate the factors underlying the responses to a set of items. In this workshop, the fundamental knowledge of EFA will be introduced. In addition, through an example, participants will learn the steps of conducting an EFA in SPSS and the interpretation of EFA. Lastly, the Stata syntax and outputs of EFA will be provided for Stata users.
Level: Intermediate

TUESDAY, AUGUST 24, 2021

A Gentle Introduction to Bayesian Inference for Applied Data Analysis
9 – 11:30 a.m.
Jason Rydberg, Associate Professor
Bayesian inference is an approach to statistics which allows researchers to represent statistical uncertainty as the plausibility of different parameter values, based on a compromise between the data at hand and prior knowledge. Relative to frequentist null hypothesis significance testing, Bayesian inference has been growing in popularity within the social sciences as software makes it more and more accessible. This workshop will offer a gentle introduction to Bayesian inference, designed to provide applied data analysts with a basic understanding of the structure and goals of Bayesian analysis, estimation using examples in R, and presenting results to readers. Attendees will be provided with R script files to replicate all workshop materials.
Level: Intermediate (some familiarity with linear modeling and R would help).
Understanding & Handling Missing Data with Examples using R
12:30 – 3 p.m.
Jason Rydberg, Associate Professor
Missing data is a common element of applied social science research. However, how researchers “handle” missing data varies considerably within and between fields of study. Inadequate methods for handling missing data can lead to biased statistical analyses, such as in regression. This workshop will cover some concepts regarding missing data mechanisms and will sensitize participants to some modern solutions to handling missing data, such as multiple imputation. Software examples will be based in R. The workshop will conclude with practical advice for placating peer reviewer concerns.
Level: Intermediate

WEDNESDAY, AUGUST 25, 2021

Introduction to Using Qualtrics for Online Surveys
9 – 11 a.m.
Shanna Rose Thompson, CPE Mgr & Adjunct Prof
Qualtrics is a web-based survey tool that is available to UMass Lowell students, staff, & faculty. This beginning workshop will walk participants through how to create an online survey using this software.
Level: Beginner
Introduction to 7th Ed. APA Formatting
Noon. – 2 p.m.
Shanna Rose Thompson, CPE Mgr & Adjunct Prof
APA style is a set of guidelines used in a variety of academic fields for scholar communications (e.g., course papers, dissertations, theses, and manuscripts). This beginning workshop will walk participants through aspects of this style that are most commonly used in academic papers and scholarly manuscripts. Changes that have occurred from the 6th to 7th ed. will also be discussed.
Level: Beginner

Past Workshops

In the past we have offered the following workshops:

  • Useful Elicitation Techniques for Focus Groups and Interviews with Shanna Thompson
  • Introduction for Using Qualtrics for Online Surveys with Shanna Thompson and Bangsil Oh
  • Strategies for Developing Literature Reviews with Rosie Emerson
  • Introduction to Hierarchical Linear Modeling with Hsien-Yuan Hsu
  • HELP!!! I have a boatload of Qualitative Research Data and don't know what to do with it?! with Judith Davidson
  • Introduction to Logic Models with Jill Lohmeier
  • Introduction to Working with Data in STATA with Yelenna Rondon
  • Testing the Representativeness of a Sample with Bangsil Oh
  • Application of Multilevel Modeling in Social Science Research and Evaluation with Xiaoxia Newton
  • Introduction to Data Manipulation with R with Jason Rydberg
  • Basic Inferential Statistics Refresher with Jill Lohmeier
  • Introduction to PhotoVoice Methods with Ainat Koren
  • Introduction to using SPSS with Bangsil Oh
  • Introduction to NVivo with Shanna Thompson
  • Unlocking Qualitative Data with NVivo with Wilson R. Palacios
  • Integrating Digital Survey Tools  with NVivo with Noelle Wyman Roth and Judith Davidson
  • Submitting an IRB Application with Jill Lohmeier
  • Conducting Focus Groups and Interviews with Shanna Thompson
  • What should PI's and Program Directors know about Program Evaluation with Jill Hendrickson Lohmeier
  • Introduction to Social Network Analysis with Elias Nadar
  • Introduction to Working with Data in SPSS with Elias Nader
  • Basic Statistical Analysis in SPSS with Elias Nader
  • Creating Logic Models with Xiaoxia Newton and Thomas Piñeros-Shields
  • Organizations Employing Participatory Photo-Voice to Evaluate Institutional Stakeholders with Thomas Piñeros-Shields
  • Getting Started with Visual Data in Qualitative Research with Judith Davidson
  • Introduction to R: Data Importation and Manipulation with Jason Rydberg
  • Understanding and Handling Missing Data with Examples Using R with Jason Rydberg
  • Introduction to R: Publication Quality Graphics with Jason Rydberg
  • Introduction to NVivo 11 with Noelle Wyman Roth and Judith Davidson
  • Introduction to Logistic Regression Using SPSS with Xiaoxia Newton
  • Facilitating Reproducible Research Using R & R Studio with J. Michael O'Connor