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Statistics and Data Analysis 2 2016/2017

  • 5 ECTS
  • Taught in Portuguese
  • Continuous Assessment


After completing this course, the student will be able to:
• Understand the rationale underlying statistical procedures and data analysis using IBM SPSS software;
• Know different statistical analysis techniques, their utility, and when to apply them;
• Associate statistical analysis procedures with research hypotheses testing;
• Critically interpret data analysis results and report these results in research reports, according to the APA style rules;
• Analyze differences between groups and between different measurement moments;
• Evaluate the relationship between variables and prediction models;
• Develop autonomy in the use of statistical procedures for the support of research projects, as well as in reading and interpreting studies presented in scientific publications.

Recommended Prerequisites

Prior knowledge of basic descriptive statistics and probabilities are recommended, following contents learned in Statistics and Data Analysis I.

Teaching Metodology

The theoretical and practical classes will aim for a compromise between expository methodologies and active and participatory methodologies. Expository methods will be based on the use of multimedia supports, using for this purpose the IBM SPSS software, PowerPoint slides, reading and discussing documents, and managing databases. The active methods will be based on practical activities, including the exploration of databases and statistical analyzes exercises using the SPSS. These practical activities will seek the active resolution of psychology research problems as well the reporting of research results in the form of reports, individually and with mentoring from teachers. The students will be stimulated to present and critically discuss research results, presenting small group assignments.

Body of Work

1. Revision of statistical concepts and basic descriptive statistics techniques
2. Research designs, hypothesis testing and statistical significance
3. Comparing two groups: the t-test
4. Comparison of frequencies and proportions
5. Analysis of variance (ANOVA) with one factor: the one-way ANOVA and analysis of variance for repeated measures;
6. Correlational Statistics
6.1 Correlation analysis
6.2 Simple linear and multiple regression analysis
7. Non-parametric tests
8. Interpreting and writing research results according to APA standards: description, tables and figures (transversal content)

Recommended Bibliography

American Psychological Association (2009). Publication manual of the American Psychological Association (6th ed.). Washington, DC: American Psychological Association.
Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage Publications Ltd.
Maroco, J. (2014). Análise estatística com o SPSS Statistics (6ª ed.). Pêro Pinheiro: Report Number.
Martins, C. (2011). Manual de análise de dados quantitativos com recurso ao IBM SPSS: Saber decidir, fazer, interpretar e redigir. Braga: Psiquilíbrios.
Pereira, A. (2008). SPSS – Guia prático de utilização. Análise de dados para ciências sociais e psicologia (7ª edição). Edições Sílabo.

Complementary Bibliography

Cohen, B. (2008). Explaining psychological statistics. Hoboken, NJ: Wiley.
Howitt, D., & Cramer, D. (2000). First steps in research and statistics. A practical workbook for psychology students. London: Routledge.
Howittt, D., & Cramer, D. (2011). Introduction to research methods in psychology (3rd. ed.). Harlow, England: Pearson Education Limited.
Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Boston: Allyn and Bacon.

Weekly Planning

Week 1. Presentation of the curricular unit - goals, teaching and assessment methods, and expected results.
Week 2. Revision of statistical concepts and basic descriptive statistics (P). Research designs, hypothesis testing and statistical significance (T);
Week 3. Comparison of two groups: the t-test (inter-subject de designs);
Week 4. Comparison of two groups: the t-test (intra-subject designs);
Week 5. Comparison of frequencies and proportions;
Week 6. Analysis of variance (ANOVA) with one factor: the one-way ANOVA;
Week 7. Analysis of variance (ANOVA) with one factor: analysis of variance for repeated measures;
Week 8. Correlation analysis
Week 9. Mini-test 1
Week 10. Simple linear regression analysis
Week 11 Multiple regression analysis
Week 12. Non-parametric tests
Week 13: non-parametric tests (group presentations)
Week 14: Revisions (group presentations)
Week 15: Mini-test 2

Demonstration of the syllabus coherence with the curricular unit's objectives

In order to provide students with the acquisition of critical thinking skills about the usability and selection of statistical analysis procedures for the support of research, the syllabus include a variety of inferential data analysis, from group comparisons to the tests of association between variables. In order that students associate these statistical procedures with research in psychology, the program contents include the analysis and reflection of data analysis results and testing of empirical hypotheses. Finally, in order to develop interpretation and reporting research results skills, the syllabus include the analysis of statistical analysis outputs and writing scientific reports according to APA standards.

Demonstration of the teaching methodologies coherence with the curricular unit's objectives

The use of expository methods enables the transmission and analysis of new contents relating to data analysis techniques using the SPSS software. These methods support the acquisition of basic knowledge in the field, by the students. The use of methods involving the active participation of the students is accomplished through the analysis and interpretation of research results published in scientific papers, as well as problem solving applied to psychology with the selection and implementation of data analysis techniques. Group assignments will contribute to the acquisition of critical thinking skills about the data analysis procedures, and the interpretation and reporting of research results. The combination of these different methods will aid to achieve the proposed goals for the course.

relevant generic skillimproved?assessed?
Achieving practical application of theoretical knowledgeYesYes
Adapting to new situationsYesYes
Analytical and synthetic skillsYesYes
Balanced decision makingYesYes
Bargaining abilityYes 
Commitment to effectivenessYesYes
Commitment to qualityYesYes
Cultural awareness  
Ethical and responsible behaviourYesYes
Event organization, planning and managementYesYes
Foreign language proficiencyYes 
Information and learning managementYesYes
Initiative and entrepreneurship capabilityYesYes
IT and technology proficiencyYesYes
Problem Analysis and AssessmentYesYes
Relating to othersYesYes
Research skillsYesYes
Understanding multiculturalism and valuing diversity  
Working in international context  
Written and verbal communications skillsYesYes
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