WORKSHOP 2 (Fee: 30 euro)
Structural Equation Modeling with lavaan
Romuald Polczyk, PhD
Institute of Psychology
Jagiellonian University, Kraków, Poland
Lavaan (Rosseel, 2012) is a free open-source software package running under R Environment (R Core Team, 2016), designed for Structural Equation Modeling. It is free, but has commercial quality. The aim of the workshop is provide the participants with skills necessary to conduct at least basic analyses within the framework of SEM, including:
· path analysis with observed variables
· confirmatory factor analysis
· path analysis with latent unobserved variables
· measurement invariance.
The workshop is intended as actual work with lavaan. The participants will be working at computers and will be doing activities, allowing them to gather knowledge and skills necessary to conduct the basic analyses with lavaan. The workshop should also allow the participants to further study lavaan and learn the more advanced features of it by themselves.
It is assumed that the participants have already a background in statistics, especially in multiple regression analysis, as well as the basics of Structural Equation Modeling. Basic concepts of SEM and measurement invariance analysis will be provided, but obviously there will be no time for covering this issues in detail.
References
Rosseel, Y. (2012). lavaan: An R Package for Structural Equation Modeling. Journal of Statistical Software, 48(2), 1-36. http://www.jstatsoft.org/v48/i02/
R Core Team (2016). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org.
WORKSHOP 3 (Fee: 30 euro)
EVIDENCE BASED TREATMENTS FOR PTSD IN A CLINICAL SETTING. PROLONGED EXPOSURE – BASICS AND BEYOND.
Agnieszka Popiel MD, PhD
Agnieszka Popiel MD, PhD, psychiatrist, psychotherapist (PTTPB, SITCC, EABCT), psychotherapy supervisor (PTTPB),
has been involved with cognitive-behavioral therapy in clinical and research practice, organizational work and teaching for many years.
Clinical and research area: treatments for posttraumatic stress disorder – efficacy, effectiveness and predictors of
outcome. Co-chair of a clinical programs TRAKT - studies on efficacy of treatments for PTSD in car accident victims. Clinical supervisor at the Department of Psychiatry and Psychotraumatology at the Military Institute of Medicine, Warsaw, Poland.
Organizational work: Member of Working Group of Training Standards of the European Association for Behavioural and Cognitive Therapies (EABCT). Initiator and past president of the Polish Association for Cognitive and Behavioural Therapy (1999-2005, 2007-2009), National Representative at EABCT since 2000, member of the: scientific committees of the EABCT congresses in Prague (2003) and Marrakech (2013), International Scientific Support Group for the World Congress of Cognitive and Behavioural Therapis in Berlin 2019.
Teaching: Chair of 4-year postgraduate studies in cognitive-behavioral psychotherapy at the SWPS University of Social Sciences and Humanities, Poland. Invited workshops, trainings and clinical supervisions in Italy, Lithuania, Latvia, Romania.
Author of over 60 congress presentations, 30 published articles, 13 book chapters. Co-author of the handbook Cognitive-behavioral psychotherapy. Theory and practice (2008), co-editor of the handbook Supervision in CBT (2013).
Workshop description
Prolonged exposure (PE) is an evidence based PTSD treatment developed by Foa, Hembree and Rothbaum (2007) consisting of several components: psychoeducation, breathing retraining, in vivo exposure and imaginal exposure with processing. A presentation of prolonged exposure will be illustrated by clinical vignettes and video recordings of specific interventions applied to patients who developed PTSD after car accident.
Three problem areas:
1) Regardless its proven efficacy the dissemination studies show limited use of PE by clinicians (Foa et al., 2013); 2) PTSD treatment – psycho, or pharmacotherapy, or maybe both?;
3) Patients who dropped-out or remained symptomatic after 12 weeks of PE- will search for predictors of treatment outcome help to develop personalized treatment?
will be discussed in the context of empirical findings and everyday clinical practice.
Recommended readings:
Foa, E. B., Hembree, E. A., & Rothbaum, B. (2007). Prolonged exposure therapy for PTSD: Emotional processing of traumatic experiences: Therapist guide. New York, NY: Oxford University Press.
Foa, E.B., Gillihan, S.J., Bryant, R.A.(2013). Challenges and successes in dissemination of evidence-based treatments for posttraumatic stress: Lessons learned from prolonged exposure therapy for PTSD. Psychological Science in the Public Interest, Supplement, 14 (2) , pp. 65-111.
Popiel A., Zawadzki B., Pragłowska E., Teichman Y. (2015) A randomized controlled trial of prolonged exposure, paroxetine and combined treatment for PTSD following a motor vehicle accident – The “TRAKT” Study. Journal of Behavior Therapy and Experimental Psychiatry 48, 17–26 ) for PTSD in a group of motor vehicle accident survivors. Current Issues in Personality Psychology, 1, 43-50
Popiel A., Zawadzki B. (2013). Temperamental traits as predictors of effectiveness of psychotherapy (prolonged exposure) for PTSD in a group of motor vehicle accident survivors. Current Issues in Personality Psychology, 1, 43-50
WORKSHOP 1 (Fee: 30 euro)
An introduction to multilevel modeling
Prof. John Nezlek
SWPS University of Social Sciences
and Humanities, Poznan
John Nezlek is a professor of psychology at the SWPS University of Social Sciences and Humanities, Poznań and is Professor Emeritus at the College of William & Mary, were he taught for 40 years. His primary research interests are the relationships between daily experience and dispositional-level individual differences and the statistical techniques that can be used to analyze the data collected in studies of these topics, including multilevel modeling (MLM). He has authored and co-authored numerous articles and chapters about these topics and has written two books, one about how to conduct multilevel modeling analyses and another about diary methods. In addition, he has conducted workshops on MLM across the world. He currently divides his time between living in Poland and in the US.
Workshop description
Multilevel modeling (MLM) is a technique that has gained considerable prominence in the social sciences in the past decade or so. MLM analyses allow researchers to disentangle the multiple sources of variance that characterize much social scientific research. For example, the anxiety of children in a school setting can be examined as function of individual level characteristics (e.g., emotional intelligence), classroom characteristics (e.g., teachers’ anxiety) and school or community characteristics (e.g., level of crime in a community), and the same techniques can used to analyze data collected in diary or ESM studies. Multilevel analyses allow researchers to examine the separate (and combined) contributions of such multiple levels of analysis. Moreover, knowledge of multilevel analysis can change the way researchers conceptualize research questions. As some prominent multilevel researchers once put it: “Once you know that hierarchies exist, you see them everywhere.”
In this workshop I will describe the rationale for using MLM versus other techniques such as OLS regression. I will provide an overview of how MLM works, describe how to conceptualize research questions within the multilevel context, and present and discuss the models that can be used to answer these questions. I will illustrate the application of MLM using the program HLM because it is easy to use and there is a free student version of the program available; however, the models that will be presented can also be analyzed in R, SPSS, SAS, Mplus, STATA, and ML‑Win. Depending upon how we progress, we may be able to analyze workshop participants’ data. My primary goals for this workshop are to make participants sufficiently familiar with MLM so that they can determine if MLM is appropriate for them and if it is, to provide a foundation for developing their understanding and use of MLM.
WORKSHOP 4 (FREE)
STRESS: ITS DETERMINANTS, ASSESSMENT AND TREATMENT
Professor Shulamith Kreitler
School of Psychological Sciences, Tel-Aviv University, Israel
The objective of the workshop is to present a new approach to the conceptualization of stress based on identifying the underlying determinants of stress. The determinants are defined in terms of the cognitive orientation theory as specific cognitions, whose endorsement may generate pressures, tensions and conflicts of different kinds. These cognitions are beliefs referring to oneself, to reality, to one's goals and to rules and norms. The contents of the beliefs represent particular themes, identified in previous research as relevant to the evocation of stress. The beliefs and themes form the basic materials for constructing the questionnaire of stress vulnerability. The scores of the questionnaires have been validated by predicting quality of life and stress evocation in different frameworks. The cognitions constituting stress vulnerability are used as basis for an intervention designed to enable the reduction or prevention of stress.
The workshop will be devoted to acquainting the participants with the new assessment method and teaching the intervention procedure that provides a method for controlling stress, reducing it or preventing it. The participants will learn to use the method and to apply it.
The workshop will be based on discussions, presentations, demonstrations, and role playing that are expected to provide insight and experiencing.
