Indiana Statistical Consulting Center (ISCC)

1. Indiana Statistical Consulting Center (ISCC) Michael Trosset, Director www.indiana.edu/~iscc www.facebook.com/pages/Bloomington-IN/Indiana-Statistical-Consulting-Center-ISCC

2. About ISCC • ISCC exists to support research at Indiana University through • Consultation • Collaboration • Educational outreach • ISCC provides support for research activities at the Bloomington campus as well as at the branch campuses (except IUPUI). • Services are provided for all IU research, including publications, grants and dissertations. • ISCC does not provide tutoring or help with coursework.

3. ISCC Services • Study Design – Meet with us early for maximum impact! • Grant Preparation, including power and sample size calculations • Data Analysis, from planning to implementation to results and interpretation • Presentation & Manuscript Preparation, including doctoral dissertations (with permission of advisor), conference presentations, and journal manuscripts.

4. Types of Support • “Light” Consultation: • No chargeto IU faculty, staff, or students • Includes: initial consultation (usually 1 hour) & follow-up discussions or analyses, as necessary, either in person or via e-mail • Up to four hours of a consultant's time • Full Collaboration: • Additional research needs may be met on a for-fee basis • Short-term and long-term arrangements are available • Rate (beyond the initial 4 free hours): $45/hour, payable through transfer from an IU account • Funding for statistical consultation/collaboration can be written into grants!

5. Clientele • Faculty (22%) • Post-docs/Other researchers (18%) • Graduate students (60%)

6. Clientele, by School

7. Clientele, by department in COAS

8. Staff • Michael Trosset – Director • Professor of Statistics • Stephanie Dickinson – Senior Consultant • Academic staff in Department of Statistics • Kathryn Whitlock – Senior Consultant • Academic staff in Department of Statistics • Bill Wyatt – Consulting Associate • PhD student in Kinesiology in HPER; Maters student in Statistics • Lijiang Guo – Consulting Associate • PhD Student in Quantitative Inquiry Methodology in School of Education; Masters student in Statistics

9. Software • SPSS • “Point-and-click” (user friendly) or syntax based. • Very common in social sciences • $45 (annually) from Stat/Math Center • SAS • Syntax based (not for beginners) • Well supported, a bit more powerful/flexible/reliable than SPSS • ~$100 from Stat/Math Center • R • Free download • Syntax based, Good for lots of computing, simulations • User-written packages (not always well-documented) • STATA • MATLAB • Minitab

10. Getting help from ISCC • Consultants are available by appointment Monday through Friday, 9 am to 5 pm. • Two locations • 410 N. Park Ave., 2nd floor (2 blocks north of the IMU) • Schuessler Institute of Social Research, room 310 (1022 E. 3rd St., southeast of the Jordan Hall greenhouse) • Contact us! • Web form: www.indiana.edu/~iscc/contact.html • Email: iscc@indiana.edu

11. How to have effective consultations

12. More effective consultations… • Provide as much basic information about your project and about your reason(s) for contacting ISCC in your initial inquiry as possible. • Know your research question(s) in advance of your initial consultation. • Bring a “code book”—a basic description of all variables of interest, including variable types (nominal, ordinal, etc.). • Be able to explain the relationship between your variables and your research question(s). • If possible, provide a representative subset of the data you will be analyzing in advance of any appointment in which data analyses will be discussed. • Be honest about your comfort with statistics. We strive to provide recommendations that balance ideal statistical procedures with your statistical background. • Some clients approach ISCC with certain expectations about the types of analyses that will be necessary. Others are entirely uncertain. We can work with both.

13. Have Research Questions • Provide as much basic information about your project and about your reason(s) for contacting ISCC in your initial inquiry as possible. • Know your research question(s) in advance of your initial consultation. • Bring a “code book”—a basic description of all variables of interest, including variable types (nominal, ordinal, etc.). • Be able to explain the relationship between your variables and your research question(s).

14. Have Data Ready • If possible, provide a representative subset of the data you will be analyzing in advance of any appointment in which data analyses will be discussed. • Data in Excel or tab/comma delimited • Individual data points (not just means)

15. Common Data Format

16. Be honest • Be honest about your comfort with statistics. • We strive to provide recommendations that balance ideal statistical procedures with your statistical background. • Some clients approach ISCC with certain expectations about the types of analyses that will be necessary. Others are entirely uncertain. We can work with both.

17. Typical collaborations

18. ISCC in the Cycle of Science GRANT Experimental design/ Sampling plan Analysis plan Power/Sample size STUDY Data table design, including spreadsheet and (limited) database formats Scientific Question(s) ANALYSIS Analysis plan Implementation in preferred software Assumption verification Results interpretation REPORTING Results interpretation Manuscript review (statistical methods, results & conclusions)

19. Analysis Plans • For grants or dissertations • NSF grant. Grad student in Anthropology • Great ape sleep architecture • 3 research aims, analysis plan for each • REM time, sleep platforms • T-test, Repeated Measures ANOVA • NHLBI grant. Faculty in Applied Health Sciences • Twin study on diet & cardiovascular disease • Power/sample-size • Review analysis plan in proposal GRANT STUDY QUESTION ANALYSIS REPORT

20. Marketing Survey (spring 2009) • Does the source of information about a product affect a person’s likelihood of product purchase? • Survey with 2 x 2 x 2 x 2 (non-independent) conditions • Expected sample size was too small for full factorial experiment taking into account lack of independence. • ISCC was able to provide a balanced design requiring <300 subjects. • Following data collection, • ISCC provided guidance in model development. • ISCC provided SAS code based on selected regression model & support with interpretation of results. GRANT STUDY QUESTION ANALYSIS REPORT

21. Communication in Children with Autism • Faculty in Education • Review manuscript • Clarify methods • Re-work analyses • Count data (# of communicative acts) • MANOVA between home/school & type of communication • Significant interaction via Roy’s Largest Root • Log-transformation GRANT STUDY QUESTION ANALYSIS REPORT