What to do with missing data? Not a simple answer actually. Join this webinar and learn about the latest and most appropriate ways to approach missing data,

The Next Craft of Statistical Analysis Webinar:
Approaches to Missing Data: The Good, the Bad, and the Unthinkable

You’ve probably heard about many different approaches to dealing with missing data, and you’ve probably gotten different opinions about which one you should use.  In this webinar, you’ll get an overview of:

• the three types of missing data, and how they affect the approach to take
• the common approach that is generally worse than any other
• the easy, common, seemingly bad approach that often isn’t so bad, and the situations when it doesn’t work
• the two approaches that give unbiased results, one that is very easy to implement, but only works in limited situations and one that is harder to implement well, but works with any statistical analysis

Date: May 1, 2013
Time: 1pm Eastern Time UTC -4 (12pm Central, 11am Mountain, 10am Pacific)
Where: Anywhere you have a fast internet connection
Length of Program: An Hour
Cost: Always FREE
Space is limited.

How do I sign up?

The call will be recorded, so if you miss it, you can still listen in, but you have to register. You can register by clicking here.

Hello-

Vijay Malhotra, School of Business & Professional Studies, has asked me to post the following opportunity for faculty: 

“For the past two years I have been teaching a business statistics class for MBA students using the JMP software from SAS Institute. JMP is a really easy to use program for data management, visualization, and analysis.  It has worked well for my students, in that the students are able to do lots of things through a really intuitive interface (rather than writing code, which few of them are able to do).  The JMP folks have provided me with a software license for all of my students, and are willing to extend that to other faculty and students at USF.  However, this year, they have asked me to give them a chance to deliver a seminar to interested faculty to give them a chance to show off their software and also to gather input about faculty needs, preferences, etc.”

Thursday, May 2, 2013 | Kalmanovitz Hall, Room 165

  11:45-12:45 – General Overview

 12:45-Onward – Q&A / Advanced Demo

 Navigating JMP and using its smart, graphical interface

 Data Visualization, including mapping, Graph Builder, and the Data Filter

 Analyzing Data in JMP: Basic tests, Anova, regression, and multivariate analysis

 JMP Integration with SAS, R and Excel

 Other topics of interest (upon request), including Quality Control Tools, Design of Experiments (DOE), quality, data mining, mixed models, repeated measures, and time series

 New features in JMP 10 & JMP Pro: Bootstrapping, Application and Add-In Builder and more

REGISTER/RSVP:

http://www.jmp.com/academic/workshops/workshop_detail.shtml?reglink=701a0000000t8H2

questions?

 vmehrotra@usfca.edu

Dear Colleagues,

Allison Thorson, Communication Studies, has asked the following question:

I have a question about statistical software and I thought I’d start
with the statistics and methodologies group.  I am going to be running
a SEM using MPlus, but I have a very old version of the software
(version 4). I am wondering if any department or faculty member on
campus has version of MPlus 7 or higher. If not, I will request it
though my FDF, but I thought I’d check here first.

Thanks in advance for your help.

Please post in the reply section (so that others will also know) and I will let Allison know as well. You can also email Allison if you’d like to directly communicate with her:

athorson@usfca.edu

Dave Latterman has provided a list of helpful links- check it out. Some of these are directly tailored for those of you involved in Bay Area organizations.

Internat’l and nat’l map collection   http://www.lib.utexas.edu/maps/

Whether you are struggling with addressing reviewers’ comments  or want to get a research project started, there are experts right here who are ready to help. Below is a list of faculty with differing areas of expertise who are willing to meet and help you with your research.

Anttila-Huges, Jesse	jesse.antillahuges@gmail.com	Economics	1. Stats  2. casual inference/research design  3. environment and climate science and data  4. econo metrics  5. financial data  6. development and poverty  6. text mining, bibliometrics, quantification of qualitative concepts  7. blogging
Buckwalter, Jeff	buckwalter@usfca.edu	Computer Science	1. Excel  2. Mathematical modeling
Clausen, June	clausenj@usfca.edu	Psychology	1. IRB stuff (I wrote the manual )  2. Community based research.  3. Working with clinical populations. 4. Mental health measurement
De La Torre, Sergio	sdelatorre@usfca.edu	Media Studies	1. Contemporary art practices  2. Labor issues along the US/Mexico border  3. Undocumented immigration (Latin America)
Ewert, Doreen	dewert@usfca.edu	ESL	1. Classroom instructional research  2. Action research
Ho, Evelyn	evho@usfca.edu	Communication Studies	Qualitative Data Collection and analysis: 1. atlas.ti, transana, discourse analysis, focus groups, ethnography/participant observation, IRB
Jung, EJ	ejung@cs.usfca.edu	Computer Science	1. How to construct IRB proposals  2. how to find subjects  3. how to find and retain good RAS
Knight, Marisa	mrknight@usfca.edu	Psychology	1. IRB  2.  Experimental Methodologies in Psychology  3. General linear model, repeated measures  4.  Excel  5. SPSS  6. Emotion, memory, decision making and aging
Murray, Scott	shmurray@usfca.edu	Art + Arch	1. Data visualization tools and techniques (processing, javascript, D3).  2. Usability testing and research methods.  3. Interaction Design
Uminsky, David	duminsky@usfca.edu	Mathematics	1. Mathematical modeling of biological/physical systems.  2. Data clustering Research/big data/machine learning.  3. software help with matlab, maple and mathematica
Zartner, Dana	dzartner@usfca.edu	Int’l Studies	1. Legal Research (International and Comparative)  2. Comparative case studies  3. Content analysis.   My research area is the relationship between domestic law and legal culture and international law in the areas of human rights and the environment.

The following stats workshops will be offered this summer. Two are conveniently located at UC Davis. Post a comment if you are interested and we can look into possible funding sources for you.

Message From: Nicolle Singer
Position/Title: Science Programs Associate
School/Organization: American Psychological Association

The American Psychological Association (APA) will sponsor four Advanced Training Institutes (ATIs) in the summer of 2013. These intensive training programs are hosted at research institutions across the country. They expose advanced graduate students, post-doctoral fellows, new and established faculty, and other researchers to state-of-the-art research methods and emerging technologies. Participants also have the opportunity to meet other scientists with related interests.

The four ATIs are listed below. Complete information about these programs can be viewed on the Advanced Training Institutes website:

http://www.apa.org/science/resources/ati/

• Structural Equation Modeling in Longitudinal Research
University of California, Davis
May 28-June 1, 2013
Application Deadline: March 20

• Exploratory Data Mining in Behavioral Research
University of California, Davis
June 3-7, 2013
Application Deadline: March 20

• Research Methods with Diverse Racial & Ethnic Groups
Michigan State University
June 10-14, 2013
Application Deadline: March 25

• Non-Linear Methods for Psychological Science
University of Cincinnati
June 17-21, 2013
Application Deadline: March 25

APA chose to sponsor these particular ATIs in response to continued interest among researchers. When offered previously, these ATIs drew substantial numbers of participants and received highly positive ratings.

The ATIs on Structural Equation Modeling and Exploratory Data Mining will be held at UC Davis in consecutive weeks. In order to help make it feasible for people to attend both of these ATIs, participants who are accepted and register for both sessions will receive a 20% discount on their tuition for each institute.

Tuition for each ATI ranges from $300 to $1200, with students, post-docs, and APA members paying lower tuitions. Participants may also apply for financial assistance.

APA arranges for group rates at on-campus or nearby lodgings and encourages all ATI participants to stay at the same location. Prices for accommodations have been negotiated at competitive group rates. For the UC Davis and Michigan State ATIs, the institutes will be held in the same conference hotel as the group lodging. The Cincinnati ATI will be held on-campus and participants will have the option to stay in very economically priced on-campus housing.

Note that ATI application deadlines begin in March. Applications are available at the Advanced Training Institute website and must be submitted electronically through each institute’s webpage:

http://www.apa.org/science/resources/ati/

For more information, contact ATI@apa.org or (202) 336-6000.

Hi all,

In case you have not seen this journal before-

The latest issue of the free access journal Survey Research Methods has just been published online at www.surveymethods.org.
Volume 7 issue 1 contains the following articles:

The Effect of Interviewer Experience, Attitudes, Personality and Skills on Respondent Co-operation with Face-to-Face Surveys
by Annette Jäckle, Peter Lynn, Jennifer Sinibaldi, Sarah Tipping

Measurement invariance and quality of composite scores in a face-to-face and a web survey
by Melanie A. Revilla

Operationalizing the Theory of Human Values: Balancing Homogeneity of Reflective Items and Theoretical Coverage
by Willem E. Saris, Desiree Knoppen, Shalom H. Schwartz

Adaptive Contact Strategies in Telephone and Face-to-Face Surveys
by James Wagner

Informed Consent for Web Paradata Use
by Mick P. Couper, Eleanor Singer

Welcome back!

Hopefully your break was refreshing and one of your resolutions involved getting more research done (is there any academic who does not have this resolution?).

Now that the group has gained some momentum, look for more activities and postings this semester. Your comments are always welcome.

A while back I posted about a free stats webinar viewing. It is scheduled for this Friday (1/18) at 10 am in K hall G 56 (Ground floor- Psych dept). Plan on a 90 minute group viewing. Even if you did not respond to the earlier posting about attending, please do so- the more the merrier.

Here is some information:

The following free webinar is being offered by the Analysis Factor- a statistical consulting and workshop site. http://www.theanalysisfactor.com/

I have used their services in the past. The webinars are worthwhile and help kickstart the process of learning (or re-learning) the basics. The webinar will also give you an idea of what this company is about and if their services may potentially fit with what you need. Although you can register and listen to the webinar at a later time and on your own, I’d like to see if there is an interest in getting a group together to listen to the webinar in real time and take advantage of the interactive component. Plus in my previous experience with these webinars, it would have been helpful to have someone else participating with me so I could get a simple clarification when I needed one.

So:

1. read the description below

2. comment here if you’d like to join in on watching the webinar together

The Craft of Statistical Analysis September Webinar:
The 13 Steps to Running Any Statistical Model

All statistical modeling–whether ANOVA, Multiple Regression, Poisson Regression, Multilevel Model–is about understanding the relationship between independent and dependent variables. The content differs, but as a data analyst, you need to follow the same 13 steps to complete your modeling.

This webinar will give you an overview of these 13 steps:

• what they are
• why each one is important
• the general order in which to do them
• on which steps the different types of modeling differ and where they’re the same

Having a road map for the steps to take will make your modeling more efficient and keep you on track.

The following free webinar is being offered by the Analysis Factor- a statistical consulting and workshop site. http://www.theanalysisfactor.com/

I have used their services in the past. The webinars are worthwhile and help kickstart the process of learning (or re-learning) the basics. The webinar will also give you an idea of what this company is about and if their services may potentially fit with what you need. Although you can register and listen to the webinar at a later time and on your own, I’d like to see if there is an interest in getting a group together to listen to the webinar in real time and take advantage of the interactive component. Plus in my previous experience with these webinars, it would have been helpful to have someone else participating with me so I could get a simple clarification when I needed one.

So:

1. read the description below

2. register online

3. comment here if you’d like to join in on watching the webinar together (I’ll post location details later)

The Craft of Statistical Analysis September Webinar:
The 13 Steps to Running Any Statistical Model

All statistical modeling–whether ANOVA, Multiple Regression, Poisson Regression, Multilevel Model–is about understanding the relationship between independent and dependent variables. The content differs, but as a data analyst, you need to follow the same 13 steps to complete your modeling.

This webinar will give you an overview of these 13 steps:

• what they are
• why each one is important
• the general order in which to do them
• on which steps the different types of modeling differ and where they’re the same

Having a road map for the steps to take will make your modeling more efficient and keep you on track.

Date: December 5, 2012
Time: 3pm Eastern Time UTC -4 (2pm Central, 1pm Mountain, 12pm Pacific)
Where: Anywhere you have a fast internet connection
Length of Program: An Hour
Cost: Always FREE
Space is limited.

How do I sign up?

The call will be recorded, so if you miss it, you can still listen in, but you have to register. You can register by clicking here.

The following email is sent by faculty member, Elena Flores, School of Education.

If you are interested in obtaining NVivo for your research, please contact Elena immediately, florese@usfca.edu. If you are from the College of Arts and Sciences and are interested, please cc Associate Dean, Shirley McGuire, mcguire@usfca.edu,  regarding your request.

Dear Colleagues,

I am writing to inquire whether any of you are interested in obtaining the NVivo software program for qualitative research.  It is an excellent program for conducting qualitative analysis, coding and sorting your data, merging data, conducting a literature review, and developing charts and tables for papers, etc.  Judy Pace and I just attended a demonstration on NVivo 10 in the CIT today.  I found out that we can obtain a 10 user site agreement for $2300, which is $230 per person versus a single user agreement for $670.  I am trying to find out if there are any other faculty interested in using this program.  There are faculty in the School of Management also using this program and others there who are interested.  So, if we do not have 10 faculty from SOE who are interested, then a combination of SOM and SOE faculty could get us to the 10 users we need to get this program cheaper.  We can schedule trainings and they offer other support.  Therefore, I am also coordinating this with Mike Duffy at SOM.

Please let me know your interest as soon as possible and no later than Monday, Nov. 5th.  In terms of how to pay for the $230, I plan to ask Walt for the SOE to cover this for faculty development and/or approach our Joint Faculty Development Committee for support on this.  So heads up Emma : )  First, just let me know if your interested and send your specific questions to me directly, do not reply all to this email.  I can then give you more specific information and not bother others.  Here is the website for NVivo-  www.qsrinternational.com/. Please let me know, thanks,

Elena