Sumários
Analyzing discourse and communication for understanding socio-psychological processes - 2
14 Dezembro 2021, 09:00 • Rita Sousa
This seminar will discuss why and how to analyze discourse and communication for better understanding socio-psychological processes. The epistemological considerations of examining discourse and communication within social psychology will be discussed, and empirical examples of how to analyze discourse and communication presented:
Analyzing discourse and communication for understanding socio-psychological processes - 1
13 Dezembro 2021, 09:00 • Rita Sousa
This seminar will discuss why and how to analyze discourse and communication for better understanding socio-psychological processes. The epistemological considerations of examining discourse and communication within social psychology will be discussed, and empirical examples of how to analyze discourse and communication presented:
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10 Dezembro 2021, 14:00 • Rita Sousa
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 independence assumption that is generally estimated on repeated-measures analyses. Consequently, it is essential to learn how to apply statistical models that accommodate 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. This seminar was taught by Prof. Cláudia Simão.
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9 Dezembro 2021, 10:00 • Rita Sousa
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 independence assumption that is generally estimated on repeated-measures analyses. Consequently, it is essential to learn how to apply statistical models that accommodate 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. This seminar was taught by Prof. Cláudia Simão.
Systematic review of the literature and meta-analysis in Psychology
26 Novembro 2021, 14:00 • Rita Sousa
In this seminar, we discussed: a) the typology of literature reviews and syntheses (e.g., systematic/non-systematic, narrative/quantitative) and the advantages of systematic reviews and meta-analyses; and b) the strength of empirical evidence as function of the quality of studies and respective methodological design.
Este seminário foi leccionado pelo Prof. Fernando Ferreira Santos