SPIT CAMP II – LGM-HLM
This workshop is designed to cover a spectrum of methodological and analytical techniques involving salivary
analytes. Specifically, it includes two commonly needed strategies for modeling longitudinal data: Latent
Growth Modeling and Hierarchical Linear Modeling. These analytical techniques examine: (1) reactivity and
recovery in response to an acute stressor, and (2) the relations between analyte diurnal rhythms and their
correlates.
Latent Growth Modeling with the Integration of Mediation and Moderation Analyses
Laboratory and Developmental Data
Spit Camp II – LGM focuses on cutting-edge methods and statistical analyses that address research questions
involving salivary analyte and biomarker data collected from laboratory designs and developmental projects.
This workshop focuses on latent growth modeling (LGM) and addresses questions such as: (1) how to model
reactivity and recovery after an acute laboratory induced stressor; (2) how to model the trajectory of change
over time in developmental data; (3) whether the variables of interest would predict the trajectory of change
and/or whether the trajectory of change would predict the outcomes of interest (mediation model in the LGM
framework); and subsequently, (4) whether the pattern of mediation observed would vary across groups
(moderated mediation in the LGM framework).
Multilevel Analysis (Hierarchical Linear Modeling)
Ecological Momentary Assessment Data
Spit Camp II – HLM teaches cutting-edge statistical methods for analyzing salivary analyte and biomarker data
collected from ecological momentary assessments and diary-based projects. Hierarchical Linear Modeling
(HLM) addresses many research questions involving the dynamics of experience and salivary analytes on a
day-to-day basis. For example, (1) do variables like daily stress predict an analytes diurnal rhythm indexed by
wakeup level, awakening response, and diurnal slope within-person over time; (2) does the relation between
daily stress and an analytes diurnal rhythm vary across individuals with different characteristics; and (3) what
are the variables that predict asymmetry between multi-system measurements of biological systems. This
workshop will explain which statistical strategies are best suited to answer which research questions – we will
provide a decision-making tree and guidelines.
Institute for Interdisciplinary Salivary Bioscience Research
[email protected] | Phone: 480-965-6944 | Fax: (480) 965-6149
550 E. Orange St., Tempe, AZ 85287-3604
P.O. Box 873604
The workshop will provide participants hands-on experience in analyzing data with a user-friendly software
called Mplus. During the workshop, computers with Mplus will be provided to facilitate the training. No data is
necessary, simulated / archived data are available at the workshop for hand-on practice. However,
participants are welcome to bring their data for hand-on practice if available. Lecture handouts and computer
examples will be provided in class. The ultimate objective of this workshop is to advance your projects
sufficiently so that with minimal additional effort grant proposals or publications would be successfully
generated.
Upon Sign-up
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Please email Ellen Yeung a one-page project (or potential project) description that describes your
theory, hypotheses, design, etc.
A two-hour phone meeting will be arranged to meet with Ellen to communicate the details of your
project.
Ellen will provide you information regarding data structure.
A one-hour correspondence via email or phone will be arranged with Ellen to ensure successful
preparation of your data before coming to the workshop.
Institute for Interdisciplinary Salivary Bioscience Research
[email protected] | Phone: 480-965-6944 | Fax: (480) 965-6149
550 E. Orange St., Tempe, AZ 85287-3604
P.O. Box 873604
TENTATIVE SCHEDULE
DAY 1: Lecture - LGM
8:30 am–10:00 am - Lecture (1.5 hours)
 Welcome and Introductions
 Research Designs and Sampling Techniques
 Structural Equation Modeling
10:00 am–10:15 am
 Coffee Break
10:15 am–11:45 am - Lecture (1.5 hours)
 Latent Growth Model
 Piecewise Growth Model
11:45 pm–12:45 pm – Working Lunch (Provided)
12:45 pm–2:15 pm - Lecture (1.5 hours)
 Introduction to Mplus
 Computer examples involve Latent Growth and Piecewise Growth Models
2:15 pm–2:30 pm
 Coffee Break
2:30 pm–4:00 pm - Lecture (1.5 hours)
 LGM with Mediation
 LGM with Moderated Mediation
4:00 pm–5:00 pm - Lecture (1 hour)
 Grant and publication writing
Before bedtime
 Write your own syntax for your model.
Other alternative topics: Parallel Process Growth Model (using one analyte’s trajectory to predict another
analyte’s trajectory), Survival Analysis, Latent Profile Analysis, Power Analysis, and Planned Missing Data
Design. The exact topic will be determined based on participants’ interests and levels of statistical background
after the phone meetings prior to the workshop.
Institute for Interdisciplinary Salivary Bioscience Research
[email protected] | Phone: 480-965-6944 | Fax: (480) 965-6149
550 E. Orange St., Tempe, AZ 85287-3604
P.O. Box 873604
TENTATIVE SCHEDULE
DAY 2: Lecture – HLM
8:30 am–10:00 am - Lecture (1.5 hours)
 Research Designs and Sampling Techniques
 Introduction to HLM & Centering in HLM
10:00 am–10:15 am
 Coffee Break
10:15 am–12:15 pm - Lecture (2 hours)
 HLM with Level-1 Predictors
 HLM with Cross-Level Interaction
12:15 pm–1:15 pm – Working Lunch (Provided)
1:15 pm–2:45 pm - Lecture (1.5 hours)
 Computer examples involve HLM with Level-1 Predictors and Cross-Level Interaction
2:45 pm–3:00 pm
 Coffee Break
3:00 pm–4:00 pm - Lecture (1 hours)
 Discussion on missing data handling
4:00 pm–5:00 pm - Lecture (1 hour)
 Writing about these methods in proposals and manuscripts
Before bedtime
 Write your own syntax for your model.
 Email Ellen if you have questions for the workshop by 6 am on Day 2.
Other alternative topics: Three-level HLM, HLM for Dyadic Data, Actor-Partner Interdependence Model, Growth
Mixture Model (categorizing individuals into various diurnal cortisol profiles), Multilevel Structural Equation
Model, and Missing Data Handling with Multiple Imputation. The exact topic will be determined based on
participants’ interests and levels of statistical background after the phone meetings prior to the workshop.
Institute for Interdisciplinary Salivary Bioscience Research
[email protected] | Phone: 480-965-6944 | Fax: (480) 965-6149
550 E. Orange St., Tempe, AZ 85287-3604
P.O. Box 873604
DAY 3: Hands-on Experience
10:00 am–5:00 pm (Lunch is provided)
 Hands-on experience in analyzing data with Mplus by using simulated / archived data or participants’
data
 Individual consultation sessions
FREE Follow-up Consultation
This workshop also offers a one-hour, free follow-up consultation for addressing questions related to the topics
presented in the workshop. Services will include, but not be limited to the following:
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Provide advice and comments on the methodology and data-analytical plan of your grant proposal.
Address questions during your manuscript preparation.
Provide support on syntax for running your models.
Provide advice and suggestions to address reviewers’ questions and comments on your manuscript.
Individual Training
If you are interested in staying for a day or two after the workshop to work with Ellen individually on your
project (with an hourly consultation fee on a discounted rate), please contact Ellen.
Contact for Further Questions
Kelly Henning, Program Manager
Institute for Interdisciplinary Salivary Bioscience Research (IISBR)
Arizona State University, College of Liberal Arts and Sciences
Interdisciplinary Science and Technology Bldg.1, Room 481L
550 E. Orange St.
Tempe, AZ 85287
E-mail: [email protected]
Phone: (480) 965-6944
Fax: (480) 965-6149
Institute for Interdisciplinary Salivary Bioscience Research
[email protected] | Phone: 480-965-6944 | Fax: (480) 965-6149
550 E. Orange St., Tempe, AZ 85287-3604
P.O. Box 873604