Events

Upcoming events

Date (dd/mm/year)
time
Venue Speaker Format Title
03/12/2019
14h00m-16h00m
ISCTE-IUL Sofia Frade
(ISCTE-IUL)
Workshop Introduction to Qualtrics
03/12/2019
16h00m-19h00m
ISCTE-IUL Sofia Frade
(ISCTE-IUL)
Workshop Optimize your Qualtrics survey
05/12/2019
16h00m-17h00m
ISCTE-IUL Ralf Rummer
(University of Kassel)
Talk Inventing novel words as an experimental paradigm to investigate sound symbolic relations between phological forms meaning
06/12/2019
10h00m
ISCTE-IUL Sascha Topolinski
(University of Cologne)
Talk The hidden meaning of names
12/12/2019, 13/12/2019
10h00m-13h00m, 14h00m-17h00m
ISCTE-IUL Cláudia Ramos
(Catholic University of Portugal)
Workshop Mixed-Models Analysis: From Theory to Practice
23/01/2020, 24/01/2020 FP-UL Several Conference 4th LiSP Annual Meeting

Conferences


4th LiSP Annual Meeting

Dates: 23/01/2020, 24/01/2020
Venue: FP-UL; Room 1
Format: Conference
We are pleased to invite you to attend the 4th LiSP Annual Meeting, which will be held on January 23rd and 24th 2020 in Room 1 at the Faculty of Psychology – Univerisity of Lisbon.

The 4th LiSP Annual Meeting is an open event intended to share LiSP students' research and to promote collobaration between the LiSP community, Academia, and the general public.

Registration: If you wish to attend the event, we kindly ask you to register using this form.

AM 2020

Talks, Seminars and Workshops


Introduction to Qualtrics

Speaker: Sofia Frade (LAPSO, ISCTE-IUL)
Date and time: 03/12/19; 14h00m-16h00m
Venue: ISCTE-IUL; D0015 - LAPSO
Format: Workshop
Registration: Please email the speaker,Sofia Frade, to register or find out more.

Abstract:
This workshop offers an introduction to Qualtrics survey software. This is a versatile and user-friendly program that allows to collect information online.

This session will be organized for those that will start using Qualtrics to create a questionnaire and have no experience using it.

To ensure an optimal learning experience, the workshops are limited to around 16 participants.


Optimize your Qualtrics survey

Speaker: Sofia Frade (LAPSO, ISCTE-IUL)
Date and time: 03/12/19; 17h00m-19h00m
Venue: ISCTE-IUL; D0015 - LAPSO
Format: Workshop
Registration: Please email the speaker,Sofia Frade, to register or find out more.

Abstract:
This workshop aims to optimize the creation and the analysis of surveys created in Qualtrics.

In this session we will cover some features to customize your survey, such as skip and display logic, and randomization. In addition, we will explore the divulgation of the questionnaires and results exportation.

To ensure an optimal learning experience, the workshops are limited to around 16 participants.


Inventing novel words as an experimental paradigm to investigate sound symbolic relations between phonological forms meaning

Speaker: Ralf Rummer (University of Kassel)
Date and time: 05/12/19; 16h00m-17h00m
Venue: ISCTE-IUL; Caiano Pereira Auditorium
Format: Talk
Registration: Please email Marco Rego ISCTE-IUL's Psychology PhD programme manager to register or find out more.

Abstract:
I will report studies investigating three sound symbolic effects using the novel names paradigm. In the experiments reported, our participants were forced to invent (and articulate) novel words for different faces, objects or shapes. The numbers of critical phonemes included in these “words” served as dependent variables (Rummer & Schweppe, 2019). The three assumptions tested in our experiments were (1) the bouba-kiki hypothesis, (2) the articulatory feedback hypotheses, and (3) the size symbolism hypothesis. The bouba-kiki-hypotheses suggests that the phonemes such as /t/, /p/, /k/ or /i/ are preferred in names for spiky shapes/objects whereas pseudowords including /d/, /b/, or /u/ are associated to round shapes. The articulatory-feedback hypothesis suggests that faces or objects with a positive emotional valence are associated with the vowel /i/ and those with negative valence with the vowels /o/ and /y/. The size symbolism hypothesis suggests that low frequency vowels such as /o/ are associated to large objects and the high frequency vowel /i/ is associated to small objects. The results were in line with our expectations.


The hidden meaning of names

Speaker: Sascha Topolinski (Faculty of Human Sciences, University of Cologne)
Date and time: 06/12/19; 10h00m
Venue: ISCTE-IUL; Paquete de Oliveira Auditorium, Sedas Nunes Building
Format: Talk
Registration: Please email Marco Rego ISCTE-IUL's Psychology PhD programme manager to register or find out more.

Abstract:
In this talk I will summarize recent research on psycholinguistic effects on naming. Different linguistic features of names that are not obvious to participants have been shown to nevertheless affect participants attitudes and behavior. Among them are pronounceability, certain morphologic structures (e.g., starting and ending with vowels or consonants) and hidden articulatory patterns evoked in the mouth. The implications for social psychology, cognitive psychology, and marketing are outlined.


Mixed-Models Analysis: From Theory to Practice

Speaker: Cláudia Simão (Faculty of Human Sciences, Catholic University of Portugal)
Date and time: 12/12/19, 13/12/19; 10h00m-13h00m, 14h00m-17h00m
Venue: ISCTE-IUL; Building II: D1.06 (morning session, day 1), D1.01 (afternoon session, day 1), D1.04 (morning session, day 2), D1.03 (afternoon session, day 2)
Format: Workshop
Registration: Please email Marco Rego ISCTE-IUL's Psychology PhD programme manager to register or find out more.

Abstract:
Mixed-effects models are becoming increasingly popular. One of the reasons is the need for studies with greater statistical power and more reliability on their reported findings. An approach to meet that need is to design research with more than one data point from each unit of analysis. However, when several observations come from the same unit of analysis (e.g., participant), they are usually correlated, and violate the indepence assumation that is generally estimated on repeated-measures analyses. Consequenty, it is essential to learn how to apply statistical models that accomodate for the non-independence, e.g., mixed-effects models, to accurately deal with interdependent data. The goal of this workshop is to introduce the linear mixed-effects models analysis, divided into 1) a theoretical part, focused on mixed-models key concepts; and 2) an applied, hands-on part, implementing the mixed-models analysis, interpreting the data and reporting the results.