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Wednesday June 24 1___________________________________________________________9:00 am, Wednesday June 24 Wednesday June 24 9:00 am – 12:00 pm Workshop Room: Oak Bay 1 Effect Size and Introduction to Meta-Analysis Recommended reading Cummings, G. (2012). Understanding the new Siegfried L. Sporer statistics. New York: Routledge/Taylor & Francis. Lipsey, M. W., & Wilson, D. B. (2001). Practical The aim of this workshop is to enable meta-analysis. Thousand Oaks, CA: Sage participants to calculate effect sizes for Publications. experimental and correlational designs and to Sporer, S. L., & Cohn, L. D. (2011). Meta-analysis. introduce them to the principles of how to In B. D. Rosenfeld, & S. D. Penrod (Eds.), Research conduct a meta-analysis. Bring a laptop to get methods in forensic psychology (pp. 43-62). New hands-on experience. Participants will learn to York: Wiley. calculate effect sizes with a spreadsheet made Presenter Biography available online beforehand for registered Prof. Sporer received his users. Participants learn the basic steps in B.A. from the University of conducting a meta-analysis and will be Colorado and his M.A. and sensitized to the importance of assessing Ph.D. from the University of published meta-analyses critically. New Hampshire. He is now Prof. of Social Psychology and Psychology and Law at Contents the University of Giessen, • How to formulate a research question and Germany, after teaching at hypotheses in meta-analysis the University of Aberdeen, • Literature search (with PsychInfo and SSCI) Scotland. Originally trained • Calculation of effect sizes (d, r, OR) with in social psycholoogy, his research interests Excel (calculated in workshop use content available expanded to basic research on facial recognition beforehand) and its application to person identifications in • Steps in preparing a meta-analysis (coding criminal proceedings. He has also been interested in sheet, inter-coder reliability) meta-memory, as well as various aspects of • Introduction to principles of Fixed-effects and deception and its detection. In recent years, he has Random-effects models specialized in meta-analysis, primarily in the • Introduction to principles of moderator analyses psychology and law area. He has published an and meta-regression introductory book chapter on meta-analysis, more • Critically reading and interpreting meta-analyses than half a dozen meta-analyses, and is currently (publication bias) preparing six additional meta-analyses with colleagues around the globe for publication. Prof. Prerequisites Sporer has taught courses and workshops on meta- Well-grounded knowledge of statistical techniques analysis to audiences with different levels of (ANOVA (t-, F-test, chi2, correlation, (multiple) expertise, from Master's students to Ph.D. regression) candidates to professionals at the American Psychology-Law Society. 12:00 pm – 1:00 pm Lunch (not provided) 1:00 pm, Wednesday June 24___________________________________________________________ 2 1:00 pm – 4:00 pm Workshop Room: Oak Bay 1 A Graphic User Interface for Bayesian inference, models of Hypothesis Testing decision making, and the interaction between E. J. Wagenmakers, Richard D. Morey, and quantitative modeling and Jonathan Love cognitive neuroscience. He co- Bayesian hypothesis testing presents an attractive authored with Michael alternative to p-value hypothesis testing. The most Lee a book on Bayesian prominent advantages of Bayesian hypothesis modeling (published in testing include (1) ability to quantify evidence in 2013 by Cambridge). favor of the null hypothesis; (2) ability to quantify evidence in favor of the alternative hypothesis; and Richard D. Morey is an (3) ability to monitor and update evidence as the Associate Professor of data come in. Despite these practical Psychometrics advantages, Bayesian hypothesis testing is still and Statistics in the relatively rare. An important impediment to the Faculty of Behavioural widespread use of Bayesian tests is arguably and Social Sciences at the lack of user-friendly software for the run-of-the- the University of mill statistical problems that confront psychologists Groningen; as of 1 for almost every experiment: the t-test, ANOVA, January, he takes up a correlation, regression, and contingency tables. Senior Lectureship in Psychology at Cardiff In this workshop Eric-Jan Wagenmakers, Richard University. He earned a PhD in psychology and a Morey, and Jonathon Love introduce JASP, an Master's degree in statistics with Jeffrey Rouder open-source, user-friendly "point and click" GUI that and Paul Speckman at the University of Missouri. allows the user to carry out both classical and His interests are three-fold: Bayesian cognitive Bayesian hypothesis tests for standard statistical modelling, Bayesian statistical inference, and the cognition of statistical evidence. He is the author of problems. Not only is JASP a fresh and innovative the BayesFactor software for statistical inference, statistical software in its own right, JASP enables which allows Bayesian analysis of common research easy Bayesian analysis via Morey and designs in the social and behavioural sciences. Rouder's powerful BayesFactor software, but without users having to know R. Jonathon Love is a This three-hour workshop will provide attendees with Software Developer and a friendly, gentle introduction to the theory behind Researcher at the University of Amsterdam. Bayesian hypothesis testing, and will illustrate the He completed his studies possibilities of of JASP using concrete examples. At with Andrew Heathcote at the end of this workshop, participants should be able the University Newcastle, to carry out statistical analyses in JASP, interpret the Australia, and has over output, and report the results. 15 years experience in software development. Presenter Biographies Jonathon's interests are Eric-Jan Wagenmakers is Professor of Psychology promoting the use of liberated (free and open source) software in science and developing software at the University of Amsterdam. He studied with which bridges the gap between methodologists and Raaijmakers at Amsterdam and earned his PhD in applied researchers. He is the lead developer of the 2000 and then did postdoctoral studies with Roger JASP project. Ratcliff and with Han van der Maas and Peter Molenaar. E.J.’s primary interests are in Bayesian 3___________________________________________________________4:00 pm, Wednesday June 24 4:00 pm – 4:30 pm 30-minute Break 4:30 pm – 5:00 pm Opening Remarks Theatre First Peoples’ Welcoming Ceremony 5:00 pm – 6:00 pm Keynote Theatre Cognitive Neuroscience of Applied Memory Marcia K. Johnson The abstract will go here. 6:00 – 7:30 pm Poster Session 1 Lobby 1-1. How well do police assess the accuracy of video of a mock theft and were later interviewed while eyewitness identification decisions? being videotaped. Eyewitnesses provided more accurate details during free-recall questioning than during cued Mario J. Baldassari, D. Stephen Lindsay, & C.A. recall. All but one eyewitness contributed one or more Elizabeth Brimacombe inaccurate statements about the perpetrator; almost two thirds contributed one or more inaccurate statements We examined the impact of participant-witnesses' (PW) about his vehicle. Eyewitnesses punctuated their lineup identification decisions on participant-investigators' testimonies with negative qualifiers, particularly during the (PI) assessments of suspect guilt. Each PI worked with identification phase. Eyewitness misunderstandings and four PWs, each of whom saw a different crime video. For their relationship to testimony errors will be discussed. each crime, the PI selected a suspect from a database based on the PW's description, estimated the probability 1-3. Making average songs sing: Contrast effects on that the suspect was the culprit (p(S=C)), administered a music playlist ratings lineup to the PW, and then re-estimated p(S=C). In previous studies using student PIs, eyewitness evidence Glen E. Bodner, Renee B. Matsalla, & Cody Tousignant substantially influenced PIs regardless of the accuracy of How does the order of songs in a music playlist influence the witness. We present data from experienced police their evaluation? We selected high, average, and low officer PIs as well new student PIs. rated samples of Australian pop songs. Participants rated song samples presented in one of two playlist orders: high-average-low or low-average-high. Average song 1-2. Testimony accuracy and communication samples were liked more following low (vs. high) rated processes of English-as-a-second language song samples (a contrast effect). Rating of the overall eyewitnesses playlist ratings was also higher for the low-average-high Meredith Allison, Cecily Basquin, Jennifer Gerwing, & playlist order. The contrast effect replicated when playlist quality was varied by omitting the last sample type. C.A. Elizabeth Brimacombe Implications for accounts of evaluative judgments, and for music marketing, are discussed. We investigated the communication processes of 17 pairs of English-speaking police officers and English-as-a- 1-4. The Beauty gets more attention than the Beast Second Language eyewitnesses. Eyewitnesses viewed a 6:00 pm, Wednesday June 24___________________________________________________________ 4 Anna Maslany, Rebecca Stanczyk, Ashlee Ko, & Peter retrieval and encoding of new information determines Graf whether testing enhances or impairs new learning. A remarkably consistent relation emerged, such that more Attention to stimuli is determined
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