The Center for Integrated Latent Variable Research (CILVR)

presents

              INTRODUCTION TO META-ANALYSIS

                            FEBRUARY 20-21, 2020

taught by

           Joshua Polanin, American Institutes for Research

 

SHORT COURSE DESCRIPTION

Participants will gain all the tools necessary to conduct a high quality systematic review and meta-analysis. Although these procedures can be found in numerous textbooks, the latest techniques and technical tools often require nuanced and sophisticated applications of numerous online tools and applications. This course will focus on the hands-on, practical, and applied approach to conducting reviews by combining lectures with practice material designed to enable participants to conduct future meta-analyses. Participants will receive an electronic copy of all course materials, including lecture slides, practice datasets, software scripts, relevant supporting documentation, and recommended readings. Participants will also have access to a video recording of the course. Course topics include:

  • Understanding the purpose and goals of systematic review and meta-analysis
  • Conducting a systematic, comprehensive literature search and screening
  • Extracting information from primary studies efficiently and reliably
  • Calculating effect sizes and variances
  • Performing a synthesis and moderator analyses using R

Disseminating the results of a systematic review and meta-analysis.

WHAT IS A SYSTEMATIC REVIEW AND META-ANALYSIS? Systematic review and meta-analysis are techniques used to synthesize and summarize large bodies of research literature. Compared to results from a single primary study, results from a meta-analysis provide greater generalizability, increased precision, and the ability to explore heterogeneity across studies (Borenstein, Hedges, Higgins, & Rothstein, 2010; Pigott, 2012). Meta-analysis has proven useful for policy makers and practitioners because the findings offer answers to ambiguous questions and synthesize large bodies of literature. As a result, published meta-analyses have increased exponentially over the past three decades (Williams, 2012).

TARGET AUDIENCE

The target audience for this course is any individual with an intermediate knowledge of statistical analyses who seeks to conduct or understand a systematic review and meta-analysis. This population includes all level of graduate students, assuming a basic knowledge of research design, statistical analysis, and experience conducting literature reviews. Researchers working within academic institutions or research firms are the ideal audience. Other individuals may benefit from the course as well, especially if their work focuses on summarizing large bodies of evidence.

REQUISITE KNOWLEDGE

Required:

  • Intermediate proficiency in online database searches (e.g., PsycInfo, ERIC, etc.)
  • Intermediate proficiency in a statistical programming language (e.g., SPSS, STATA, SAS, R)
  • Limited experience in R; this course will use R exclusively, but a course section will be provided on the basics
  • Intermediate proficiency in inferential statistics and multiple linear regression

Not required but advantageous:

  • Conducting a systematic search
  • Writing statistical scripts to perform statistical modeling
  • Understanding of the reporting of systematic reviews and meta-analyses

No level of proficiency beyond basic awareness is assumed for skills related to:

  • Meta-Analysis
  • Publication Bias
  • Moderator analyses

SOFTWARE

Empirical examples and hands-on exercises for this workshop will be done using the open source software R.  It is recommended that participants attend the course having downloaded the most recent version of R on their laptop.

DATES AND TIMES

Introduction to Meta-Analysis

February 20-21, 2020: 9:00-4:30 (check-in 8:30am)

Continental Breakfast*: 8:30 AM - 9:00 AM
Morning Session: 9:00 AM - 12:15 PM
Lunch (on your own): 12:15 PM - 1:15 PM
Afternoon Session: 1:15 PM - 4:30 PM

* Participants who have special dietary needs or preferences are welcome to bring their own food as well.

LOCATION

Charles Carroll A, Room 2203K
Adele H. Stamp Student Union
University of Maryland
College Park, MD 20742

Link to campus maps

COURSE FEES
(seats limited)

$595 for both days on-site; $395 for full-time students on-site (free for registered HDQM Department faculty and students, although you must register and attend; admission will depend on if space is available).

ON-LINE OPTION: $195 for both days. See below for details.

UNDERREPRESENTED GROUPS

Support for students from Underrepresented Groups to attend methodological workshops (from the Society of Multivariate Experimental Psychology):

https://www.smep.org/resources/underrepresented-fellowships

ON-LINE OPTION

Format: On-line participants will receive a personalized login code to use on their own computer to access a reliable live-stream of the workshop, showing the instructor as well as the handouts displayed on screen to on-site participants.

Materials: On-line participants will receive electronic copies of the workshop materials that on-site participants receive, as well as any other relevant materials or information.

Timing/access: On-line participants may choose to watch the stream synchronously, or may elect to watch a recording of the workshop asynchronously, or both. With DVR-like capabilities, and access to the recordings for one-week after the end of the workshop, this format allows on-line participants to choose when they engage. This is especially useful for on-line participants in different time zones, or anywhere in the world, who may choose to watch at some later time than (but within a week of) the actual workshop time. (Asynchronous participation does not include real-time chat with other on-line participants, although a visual record of prior chats will be viewable).

Technical support: Participants are assumed to be able to secure a reliable computer, internet browser, and Wi-Fi connection. Challenges at the user end must be resolved by the user. Fortunately, because the workshop is recorded, users experiencing technical challenges can still “catch up” by watching the recordings to which they have access.

Content support: Content support for on-line participants is limited to real-time chat with the on-line participant community and any quantitative methodology doctoral students who might also be participating. There is no mechanism for on-line participants to submit individual questions to the instructor.

Hands-on activities: On-line participants may choose to try any hands-on activities being done by on-site participants using their own computational facilities and software; however, support for such activities is limited to the on-site participants.

Cost: See course fees above; includes access to the workshop recordings for one week following the end of the workshop, and electronic copies of all materials.

HOW TO REGISTER

Please register using the preferred on-line registration form (non-HDQM department registrants): 

HDQM department registrants use the following registration form:

(Note: For those students who are not in the HDQM department please fill out the paper registration form and upload it when prompted within the on-line registration system).

For those who prefer not to use the on-line registration system, please complete and submit the following paper registration form: METARegForm2020.pdf

Note that it may take up to 7-10 business days for your registration to be processed.

QUESTIONS?

Contact Ms. Shuangshuang (Reni) Xu: meta2020.cilvr@gmail.com

NEARBY AIRPORTS

local airports

DRIVING DIRECTIONS

From Baltimore and Points North

  • Take I-95 South to Washington, D.C.'s Capital Beltway (I-495).
  • Take Exit 27 and then follow signs to Exit 25 (U.S. 1 South toward College Park).
  • Proceed approximately two miles south on U.S. Route 1.
  • Turn right into Campus Drive entrance (main gate).
  • Proceed up Campus Dr. to the "M" circle, go halfway around the circle and continue on Campus Dr (second right after entering the circle).
  • Proceed up Campus Dr. to the "M" circle, go halfway around the circle and continue on Campus Dr (second right after entering the circle) until you see Stamp Student Union on your right side.

From Virginia and Points South

  • Take I-95 North to Washington, D.C.'s Capital Beltway (I-495).
  • Continue North on I-95/I-495 toward Baltimore.
  • Take Exit 25 (U.S. 1 South toward College Park).
  • Proceed approximately two miles south on U.S. Route 1.
  • Turn right into Campus Drive entrance (main gate).
  • Proceed up Campus Dr to the "M" circle, go halfway around the circle and continue on Campus Dr (second right after entering the circle) until you see Stamp Student Union on your right side.

From Virginia and Points West

  • Take I-66 East or I-270 South to Washington, D.C.'s Capital Beltway (I-495).
  • Go East on I-495 toward Baltimore/Silver Spring.
  • Take Exit 25 (U.S. 1 South toward College Park).
  • Proceed approximately two miles south on U.S. Route 1.
  • Turn right into Campus Drive entrance (main gate).
  • Proceed up Campus Dr. to the "M" circle, go halfway around the circle and continue on Campus Dr (second right after entering the circle) until you see Stamp Student Union on your right side.

From Annapolis and Points East

  • Take U.S. 50 to Washington, D.C.'s Capital Beltway (I-495).
  • Go North on I-95/I-495 toward Baltimore.
  • Take Exit 25 (U.S. 1 South toward College Park).
  • Proceed approximately two miles south on U.S. Route 1.
  • Turn right into Campus Drive entrance (main gate).
  • Proceed up Campus Dr to the "M" circle, go halfway around the circle and continue on Campus Dr (second right after entering the circle) until you see Stamp Student Union on your right side.

From Washington, D.C. (Northwest/Southwest)

  • Take 16th St. North which becomes Georgia Ave. North at Maryland/D.C. line.
  • Go East on I-495 toward Baltimore.
  • Take Exit 25 (U.S. 1 South toward College Park).
  • Proceed approximately two miles south on U.S. Route 1.
  • Turn right into Campus Drive entrance (main gate).
  • Proceed up Campus Dr to the "M" circle, go halfway around the circle and continue on Campus Dr (second right after entering the circle) until you see Stamp Student Union on your right side.

From Washington, D.C. (Northeast/Southeast)

  • Take Rhode Island Ave. (U.S. 1 North) which becomes Baltimore Ave. North at Maryland/D.C. line.
  • Proceed through the city of College Park.
  • Turn left at Campus Drive entrance (main gate).
  • Proceed up Campus Dr to the "M" circle, go halfway around the circle and continue on Campus Dr (second right after entering the circle) until you see Stamp Student Union on your right side.

VISITOR PARKING

Participants may park in any of a number of campus garages (e.g., Regents Garage, Stadium Garage) 7 a.m. to midnight ($3 per hour daily; $15 max/day). There are numerous metered spaces on campus but the University police are diligent about ticketing cars at expired meters as well as cars without appropriate stickers in reserved parking lots.

More information about parking on University of Maryland Campus can be found at the web site: http://www.dots.umd.edu/maps&apps.html

 

METRO (SUBWAY)

The Campus is conveniently located approximately 1 mile from the College Park-University of Maryland Metro Station. The stop is on the green line of the D.C. Metro System. The University of Maryland Shuttle Bus runs from the College Park Metro stop on a twenty-minute schedule through the Campus. Or, a brisk twenty minute walk up a moderate hill through the Campus will bring you to all locations.

D.C. Metro Map: https://www.wmata.com/schedules/maps/

ACCOMMODATIONS

Participants are responsible for arranging their own accommodations. For out-of-town guests, there are several sources of accommodations in the immediate area. Information about hotel pricing and reservations can be found at the web site: http://www.cvs.umd.edu/visitors/offcampus.htmlNote that participants will need to make their own arrangements for transportation to and from campus.

[Note that there is a hotel located on the edge of the University of Maryland campus: The Marriott Inn & Conference Center, University of Maryland University College. For more information about this hotel, visit: http://www.marriott.com/hotels/travel/wasum-college-park-marriott-hotel-and-conference-center/

ABOUT THE INSTRUCTOR

Dr. Joshua R. Polanin is a Principal Researcher at American Institutes for Research, a social science research firm that specializes in education program evaluation, systematic reviews, and technical assistance. Dr. Polanin has extensive expertise leading or co-leading meta-analyses, including (1) a meta-analysis of variation in science education effect sizes (Taylor et al., 2018), (2) an Institute of Education Sciences (IES) grant to meta-analyze the effects of college financial aid programs (LaSota, Polanin, & Perna, 2019), and (3) two National Institute of Justice grants to meta-analyze the effects of cyberbullying prevention programs (Polanin, Espelage, & Grotpeter, 2019a) as well as the relations between school violence on academic, social, and behavioral outcomes (Polanin, Espelage, & Grotpeter, 2019b). Dr. Polanin trains researchers and professors across the nation on meta-analysis best practices. He is co-PI and co-instructor of the IES-funded Meta-Analysis Training Institute workshop and of the NSF-funded Modern Meta-Analysis Research Institute. He has an extensive peer-reviewed publication track record in meta-analysis methods (Polanin, Pigott, Espelage, & Grotpeter, 2019), publication bias (Polanin, Tanner-Smith, & Hennessy, 2016), and transparency and reproducibility (Polanin & Terzian, 2019).