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Presentation
Presentation
This Course enables students to develop skills in data analysis for research in Psychology, focusing on techniques of quantitative data analysis in the field of psychometrics and inferential statistics, as well as qualitative data analysis
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Class from course
Class from course
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Degree | Semesters | ECTS
Degree | Semesters | ECTS
Master Degree | Semestral | 5
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Year | Nature | Language
Year | Nature | Language
1 | Mandatory | Português
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Code
Code
ULHT64-13635
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Prerequisites and corequisites
Prerequisites and corequisites
Not applicable
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Professional Internship
Professional Internship
Não
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Syllabus
Syllabus
PC1. Qualitative data analysis methods: Thematic analysis PC2. Quantitative data analysis methods: Descriptive statistics and inferential statistics PC3. Psychometrics PC3.1. Concept of psychometric scales and measurement theory in psychometrics PC3.2. Psychometric validation of measurement tests: Exploratory Factor Analysis and Confirmatory Factor Analysis PC4. Inferential Statistics: PC4.1. Univariate and Multivariate Analysis of Variance PC4.2. Analysis of Variance with Repeated Measures PC4.3. Linear relationship between two variables: Correlation, Simple and Multiple Linear Regression PC4.4. Mediation Models PC4.5. Moderation Models Note. PC = program contents
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Objectives
Objectives
LG1. Conduct a Qualitative data analysis LG2. Use a statistical analysis software appropriately and effectively. LG3. Demonstrate basic skills in real-time and face-to-face research in written and oral assessment LG4. Comprehend the relationship between conceptual hypothesis, study design, statistical procedure, and statistical hypothesis LG5. Apply Analysis of Variance and Multivariate Analysis techniques to problems in the domain of Psychology with within-subject and between-subjects samples LG6. Apply Simple Linear, Multiple, Mediation, and Moderation Regression models to problems in the domain of Psychology LG7. Choose and apply different statistical procedures considering research objectives and data type LG8. Present and interpret the results obtained from data analysis clearly LG9. Understand psychometric theories and underlying assumptions in scale construction LG10. LG10. Conduct a psychometric analysis of a scale and interpret its results
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Teaching methodologies and assessment
Teaching methodologies and assessment
The classes of this course, of a theoretical-practical nature (TP), have a primarily applied component, in which students apply the theoretical skills acquired through practical activities such as conducting, analyzing, and discussing applied data analysis procedures. The practical application of the learned concepts will also be carried out using data from a study developed by the students themselves in the course of Research Methods I, allowing them to explore all phases of a research process over the two semesters. To engage students in research conducted in the field of Psychology, published studies in international journals that utilize the taught models and analytical techniques will be presented. Additionally, whenever possible, students will be involved in ongoing research projects at the Research and Development Unit (HEI-Lab).
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References
References
Braun , V., & Clarke, V. (2023). Toward good practice in thematic analysis: Avoiding common problems and be (com) ing a knowing researcher. International Journal of Transgender Health , 24 (1), 1-6. https://doi.org/10.1080/ 26895269.2022.2129597 Field, A. (2017). Discovering statistics using IBM SPSS Statistics (5 th Ed.) . London: Sage. Flick, U. (2009). Introdução à Pesquisa Qualitativa (3.ª Ed.). Porto Alegre: Artmed. Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York:Guilford Publications. Maroco, J. (2018). Análise estatística com o SPSS statistics ( 7ª Ed. ) Lisboa: ReportNumber. Bardin,L. (2004). Análise de Conteúdo. Lisboa: Edições 70. Tabachnick, B. & Fidell, L. (2006). Using multivariate statistics . USA: Pearson International. Watt, R., & Collins, E. (2019). Statistics for Psychology: A Guide for Beginners (and everyone else). SAGE Publications Limited.
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Office Hours
Office Hours
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Mobility
Mobility
No