The Mis­souri Pre­ven­tion Sci­ence Insti­tute is proud to spon­sor the 2^nd Annu­al Sum­mer of R train­ing series. Due to the COVID-19, orga­niz­ers have decid­ed to post­pone the train­ing to sum­mer of 2021. We will send out more info in the future! Be safe and see you in 2021!

What to expect from Summer of R:

This train­ing is designed for researchers who want to make the switch to using R. The train­ing will pro­vide the nuts and bolts of the pro­gram which is cru­cial in under­stand­ing how R func­tions work. 

The train­ing has four courses:

• Course I: Data Explo­ration & Lin­ear Regres­sion (3 days)
  • Data man­age­ment
  • Descrip­tive statistics
  • Graph­ics
  • Per­form­ing regres­sion analyses
  • Con­duct­ing regres­sion diagnostics
  • Visu­al­iz­ing results and cre­at­ing pub­li­ca­tion-ready output
• Course II: Mul­ti­level Mod­el­ing (1 day)
  • Under­stand­ing the need and log­ic of mul­ti­level models
  • Spec­i­fy­ing uncon­di­tion­al, ran­dom inter­cept, and ran­dom slope models
  • Aggre­gat­ing and merg­ing data
  • Test­ing dif­fer­ent mod­el specifications
  • Overview of cen­ter­ing, esti­ma­tion meth­ods, and design effects
  • Mod­el diagnostics
• Course III: Causal Infer­ence: A Graph­i­cal Mod­els Approach (half day)
  • Intro­duc­ing causal graph­i­cal mod­els (direct­ed acyclic graphs: DAGs)
  • Causal graph­i­cal views of Simp­sons’ and Lord’s paradoxes 
  • Rep­re­sent­ing researchers’ qual­i­ta­tive knowl­edge with graphs
  • Deriv­ing causal analy­sis strate­gies from graphs
  • Back­door and front-door adjustments
  • Causal medi­a­tion analysis
• Course IV: Item Response The­o­ry (half day)
  • Fun­da­men­tal con­cepts of the IRT mea­sure­ment framework
  • Advan­tages of IRT over clas­si­cal test theory/factor ana­lyt­ic methods
  • Mod­els for bina­ry data
  • Mod­els for ordi­nal & nom­i­nal data
  • Mod­el evaluation
  • Item/scale analy­sis & diagnostics 

Who should enroll in this training?

This train­ing is designed to pro­vide every­thing you need to get start­ed using R and com­plete basic analy­ses. Enroll­ment is open to stu­dents, fac­ul­ty and researchers in the social, behav­ioral, med­ical, and edu­ca­tion sci­ences . Par­tic­i­pants should have a back­ground under­stand­ing of sta­tis­ti­cal meth­ods. Course I (Data Explo­ration & Lin­ear Regres­sion) will not cov­er the back­ground and the­o­ry of the sta­tis­ti­cal meth­ods used in R. Course I is not a train­ing in sta­tis­tics, but a train­ing in using R to com­plete the analy­ses. Cours­es II — IV will cov­er both, sta­tis­ti­cal the­o­ry and appli­ca­tions in R.

About the R experts providing the training:

The train­ing will be pro­vid­ed by four of our excel­lent instruc­tors Drs. Fran­cis Huang, Wolf­gang Wie­der­mann, Wes Boni­fay, and Yong­nam Kim. They are all pro­lif­ic method­ol­o­gists and mea­sure­ment experts, expe­ri­enced edu­ca­tors, and fac­ul­ty mem­bers in the Sta­tis­tics, Mea­sure­ment, and Eval­u­a­tion in Edu­ca­tion (SMEE) depart­ment at the Uni­ver­si­ty of Mis­souri, and teach a vari­ety of grad­u­ate meth­ods and mea­sure­ment cours­es that sole­ly use R. 

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Summer of R training dates and pricing

Dates

• August 16–20, 2021
• Loca­tion: TBA
• Time: 9:00AM‑4:30PM

Pric­ing & Sched­ule TENTATIVE COSTS for plan­ning purposes

• Ear­ly Bird (before June 1, 2021):
  • Full week: $900
  • Price per course: 
    • Course I: Data Explo­ration & Lin­ear Regres­sion (3 days) – $500
    • Course II: Mul­ti­level Mod­el­ing (1 day) – $200
    • Course III: Causal Infer­ence (half day) – $100
    • Course III: Item Response The­o­ry (half day) – $100
• Late Reg­is­tra­tion (after May 31, 2021):
  • Full week: $1,000
  • Price per course:
    • Course I: Data Explo­ration & Lin­ear Regres­sion (3 days) – $600
    • Course II: Mul­ti­level Mod­el­ing (1 day) – $250
    • Course III: Causal Infer­ence (half day) – $150
    • Course III: Item Response The­o­ry (half day) – $150

Training Location and Travel Information

Hotel Information

• The Broad­way Colum­bia Hotel (.5 miles)
  • Web­site: https://doubletree3.hilton.com/en/hotels/missouri/the-broadway-columbia-a-doubletree-by-hilton-hotel-COUTBDT/index.html?SEO_id=GMB-DT-COUTBDT
  • Address: 1111 E Broad­way, Colum­bia, MO 65201
  • Phone: (573) 875‑7000
  • Rates: Start­ing at $166/night
• The Tiger Hotel (.4 miles)
  • Web­site: https://www.thetigerhotel.com/
  • Address: 23 S 8^th St, Colum­bia, MO 65201
  • Phone: (573) 875‑8888
  • Rates: Start­ing at $159/night
• Hamp­ton Inn and Suites (.9 miles)
  • Web­site: https://hamptoninn3.hilton.com/en/hotels/missouri/hampton-inn-and-suites-columbia-at-the-university-of-missouri-COUUMHX/index.html?SEO_id=GMB-HP-COUUMHX
  • Address: 1225 Fel­low’s Place Boule­vard, Colum­bia, MO 65201
  • Phone: (573) 214‑2222
  • Rates: From $97/night
• Res­i­dence Inn (2.8 miles)
  • Web­site: https://www.marriott.com/hotels/travel/couri-residence-inn-columbia/?scid=bb1a189a-fec3-4d19-a255-54ba596febe2
  • Address: 1100 Wood­land Springs Ct, Colum­bia, MO 65202
  • Phone: (573) 442‑5601
  • Rates: From $105/night

Airport Information

• Colum­bia Region­al Air­port (11 miles) 
  • Air­lines: Amer­i­can and Unit­ed Airlines
• St. Louis Inter­na­tion­al Air­port (107 Miles) 
  • Most Major Airlines
• Kansas City Inter­na­tion­al Air­port (130 Miles) 
  • Most Major Airlines
• Air­port Shut­tle Ser­vice from St. Louis and Kansas City Air­ports: MoX
  • Web­site: https://www.moexpress.com/mox_ml/home.aspx?L=EN
  • Address: 303 Busi­ness Loop 70 E, Colum­bia, MO 65201
  • Phone: (573) 256‑1991
  • Rates: $60 one way and $111 round trip door to door ser­vice (STL or KC Air­port to hotel)

Parking

• Park­ing is $15 per week or $5 a day.
• Link for vis­i­tors per­mit: https://mu.nupark.com/portal/Account/VisitorLogin?ReturnUrl=%2Fportal%2F

Map of Townsend Hall:

Sponsors

• The Mis­souri Pre­ven­tion Sci­ence Institute
• The Sta­tis­tics, Mea­sure­ment, and Eval­u­a­tion in Edu­ca­tion (SMEE) pro­gram at the Uni­ver­si­ty of Missouri

If you have any ques­tions, feel free to con­tact Toby Mills-San­doval at millsto@mail.missouri.edu.