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Statistics II

Code: P207     Acronym: ESTII

Keywords
Classification Keyword
OFICIAL Scientific Research Methodology

Instance: 2015/2016 - 2S Ícone do Moodle

Active? Yes
Web Page: http://moodle.up.pt/
Responsible unit: Psychology
Course/CS Responsible: Integrated Master Psychology

Cycles of Study/Courses

Acronym No. of Students Study Plan Curricular Years Credits UCN Credits ECTS Contact hours Total Time
MIPSI 198 Official Curricular Structure 1 - 6 54 162

Teaching language

Portuguese

Objectives

1. Understand the rationale associated with the statistical procedures using the statistical software SPSS (Statistical Package for Social Sciences); 2. Select and apply, in a critical and reasoned way, the more appropriate statistical procedures to research problems presented; 3. Critically interpret the research results; 4. Detect differences between groups and between different measurements in time; 5. Analyze the variables relations, as well as identify important predictors of a given phenomenon; 6. Present relevant results to the scientific community, using tables and graphs; 7. Conduct basic studies which apply statistical procedures; 8. Mastering statistics language at the level of understanding and writing research reports; 9. Develop critical thinking about the application of statistical procedures in scientific publications.

Learning outcomes and competences

1. Test research hypotheses using the statistical software IBM SPSS Statistics. 2. Report results in accordance with the standards of APA. 3. Development of critical thinking about methodological aspects in scientific publications.

Working method

Presencial

Program

1. Analysis of variance (ANOVA) with one factor: i) Between-subjects (one way) ii) Within-subject (repeated measures) 2. Analysis of covariance (ANCOVA) 3. Notion of linear correlation and graphical representation 4. Simple and multiple linear regression 5. Non-parametric statistics: i) Chi-square test ii) Measures of association iii) Differences tests

Mandatory literature

Costa, P. & Nascimento, I.; Estatística nas Ciências Sociais - diapositivos das aulas de EST I on-line, 2012
American Psychological Association; Publication manual of the American Psychological Association. ISBN: 1-4338-0561-8
Hair Joseph F. 070; Multivariate data analysis. ISBN: 0-13-930587-4
Maroco João; Análise estatística com utilização do SPSS. ISBN: 972-618-331-6
Tabachnick Barbara G.; Using multivariate statistics. ISBN: 0-321-05677-9
Siegel Sydney; Estatística não paramétrica

Complementary Bibliography

Bryman Alan; Análise de dados em ciências sociais. ISBN: 972-774-169-X
Pestana Maria Helena; Análise de dados para ciências sociais. ISBN: 972-618-220-4

Teaching methods and learning activities

• Theoretical-practical classes in small groups of 25 students with e-learning component. • Exposition classes complemented by problem solving and practical exercises on the computer. • Reading and analyzing critically scientific articles in small groups. • Completion of projects applying the knowledge and skills acquired, which implies writing short reports in compliance with the regulations established by Psychology reviews (APA regulations).

Software

IBM SPSS Statistics

keywords

Social sciences > Psychological sciences > Psychology
Physical sciences > Mathematics > Statistics

Evaluation Type

Distributed evaluation with final exam

Assessment Components

designation Weight (%)
Exame 70,00
Trabalho escrito 30,00
Total: 100,00

Amount of time allocated to each course unit

designation Time (hours)
Estudo autónomo 74,00
Frequência das aulas 56,00
Trabalho de investigação 32,00
Total: 162,00

Eligibility for exams

Presence of at least 75% of classes provided.

Calculation formula of final grade

The final classification is the result of the sum of the classification of the final written exam (weighted 70%) with the practical work classification (with a weighting of 30%). Achieving a grade less than 8.0 values (0-20) in any of the methods of assessment leads to failure of the student in the course. Students with a rating of 8 or 9 values may be subjected to an oral examination.

Special assessment (TE, DA, ...)

Students in the special assessment, who have not at least 75% of attendance in classes, will perform also a practical exam in the last week of classes, in order to obtain equivalence to classes’ attendance. The test result will be expressed in approved and not approved. Students not approved in the examination of equivalence in attendance fail this course.

Classification improvement

Students may register for examination to improve the grade in one of the times immediately following that in which they approved. The improvement of the practical work can only be accomplished with a new job in the following school year.

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