Data Analysis

Presentation

To prepare students for the application of statistical techniques, descriptive and inferential, to analyze data on the context of the course, based on the acquirement of a solid knowledge of basic and fundamental concepts on applied statistics.

To prepare the student for doing academic scientific essays in the area of his/her cycle of studies, based on the development of a logic and organized reasoning that allow the definition of valid hypothesis and an adequate presentation of statistical results.

At the end of this unit, the students should:

1.         Develop skills in the application of statistics, descriptive and inferential techniques in data analysis;

2.         Apply the knowledge learned in formulating hypotheses of the valid study and presenting statistical results adequately. 

Programme

Exercise and Health

Level of Qualification|Semesters|ECTS

| Semestral | 6

Year | Type of course unit | Language

1 |Mandatory |Português

Code

ULP2361-6944

Recommended complementary curricular units

Statistics

Professional Internship

Não

Syllabus

1.         Introduction to SPSS, databases creation and organization

2.         Descriptive statistics and exploratory

3.         Inferential statistics

4.         Parametric and nonparametric statistics

5.         Statistical power and effect size

6.         Analyses of association and correlation

7.         Univariate and Multivariate group comparisons

8.         Simple, multiple and hierarchical regression analyzes

Objectives

At the end of this UC, students should be able to:

- develop research objectives and hypotheses and properly define and operationalize the variables under study

- select and use the appropriate methods of data analysis, using SPSS, considering the nature of the hypotheses and variables

- conduct descriptive analyses and graphically represent collected data

- perform inferential analyses and interpreting, presenting and discussing the results

- examine the factorial structure of instruments through exploratory and/or confirmatory procedures

Teaching methodologies and assessment

The assessment includes 3 elements: 1) the construction of a SPSS and syntax database, data insertion, composition of variables and inversion of items (weight of 10%); 2) delivery of a final report that includes all the work done in practical classes (40%); and a test (face-to-face) (50%). Elements 1 and 2 will be carried out online and element 3 will be in person. The dates of delivery of the works and the test will be indicated in the first class that will take place via online. The evaluation of the theoretical and practical components are independent and need approval from both, that is, obtaining an evaluation of not less than 9.5 values. The classification within each component, theoretical or practical, results from the average of each element. In case of failure, the evaluation elements with an evaluation of not less than 9.5 are frozen and are transferred to the weighting of the classification in the appeal exam.

References

Field, A. (2013). Discovering Statistics Using SPSS (4ª ed). London: Sage.

João Marôco. (2014). Análise Estatística com o SPSS Statistics. 6ª edição. ReportNumber, análise e gestão de informação, LDA.

Martin, W. E. & Bridgmon, K. D. (2012). Quantitative and Statistical Research Methods: From Hypothesis to Results. San Francisco, CA: John Wiley and Sons

Martins, C. (2011). Manual de Análise de Dados Quantitativos com recurso ao IBM SPSS: Saber decidir, fazer, interpretar e redigir. Braga: Psiquilibrios.

Nikos Ntoumanis. (2001). A Step-by-Step Guide to SPSS for Sport and Exercise Studies. Publisher Routledge

Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics. (5th ed.) Boston: Allyn and Bacon

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