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Qualitative and Quantitative Data Analyis

Code: PDF02     Acronym: PDF02

Keywords
Classification Keyword
OFICIAL Physical Sciences

Instance: 2022/2023 - 1S Ícone do Moodle Ícone  do Teams

Active? Yes
Course/CS Responsible: Physiotherapy

Cycles of Study/Courses

Acronym No. of Students Study Plan Curricular Years Credits UCN Credits ECTS Contact hours Total Time
DF 12 Plano do Programa de Doutoramento 1 - 10 60 270

Teaching language

Portuguese

Objectives

The Curricular Unit of Qualitative and Quantitative Data Analysis aims to develop research skills in physiotherapy PhD students, through mastery of the methods of planning and organization of research, with emphasis on the different methodologies. 
The student should master the different research methods in order to choose the most appropriate for the purpose of study and be able to properly disclose the results of research. Develop skills in the creation, analysis and interpretation of the results obtained during the collection of data in an investigation.

Learning outcomes and competences

-The student creates databases considering the individual characteristics of each variable.

-The student is able to apply normality tests.

-The student differentiates, and applies appropriately, parametric and non-parametric tests.

-The student is able to differentiate and apply the assumptions necessary for the application of the different statistical tests, considering the sample size, the available groups and the characteristics of the variables.

-The student applies, in an adjusted manner, the procedures of linear regression and logistics, considering the fundamentals of multivariate data analysis.

-The student is able to interpret the results obtained through the SPSS, adjusted to the different situations of analysis.

Working method

Presencial

Program

1st Module - the construction of variables: concepts and variables. The problem of operationalisation

1. creation of database in SPSS
2. the notion of variable, variable types and scales of measurement.
3. dependent and independent variables.
4. parametric and nonparametric Tests for data interpretation.
5. analysis of the distribution of data and its implications.
6. control of variables.
7. interpretation of results


2nd module

1-Introduction to data analysis with SPSS
2-descriptive statistics. Encoding of variables and frequency tables
3-Fundamentals of statistical inference. Nonparametric tests
4-analysis of variance
5-Regression Models
the simple Linear Regression)
b) Multiple Linear regression
c) Interpretation methodologies in Regresssão models
6-Fundamentals of Multivariate Data Analysis

3rd module

1. logistic regression
a. Univariated
b. Multivariated

Mandatory literature

Strauss Anselm; Basics of qualitative research. ISBN: 0-8039-5940-0
Miles Matthew B.; Qualitative data analysis. ISBN: 0-8039-5540-5
Kinnear Paul; SPSS for Windows made simple. ISBN: 0-86377-611-6
Field Andy; Discovering statistics. ISBN: 0-7619-5755-3
Pestana, Maria Helena; Análise de dados para ciências sociais
Merriam Sharan B.; Qualitative research and case study applications in education. ISBN: 0-7879-1009-0

Teaching methods and learning activities

 Expository nature of theoretical lessons and practical sessions will be applied. The lessons will be taught by in compact blocks of 4H, in a total of 15 blocks. 
Promotion of an active dialogue between all present. The lessons will be lectures with practical resource of statistical analysis program SPSS (Statistical Package for the Social Sciences). Students must attend at least 70 of the classes provided for.

Software

Statistical Package fo the Social Sciences

Evaluation Type

Evaluation with final exam

Assessment Components

designation Weight (%)
Exame 95,00
Participação presencial 5,00
Total: 100,00

Amount of time allocated to each course unit

designation Time (hours)
Estudo autónomo 210,00
Frequência das aulas 60,00
Total: 270,00

Eligibility for exams

The assessment, in the 1st season, will consist in the realization of a theoretical assessment on practice the form of written test using SPSS for exploitation of a database, being asked to review this, and answer the questions of the exam. The assessments corresponding to the resource and special seasons (only to finish the course) shall consist in the realization of a written test, on dates to be agreed with the Commission for coordination of PhD Program in Physiotherapy and the respective teacher.

Calculation formula of final grade

Final score in the curricvular unit will be  obtained by PhD students in the final exam, corresponding  100% of the final score obtainde,  provided that students comply with the conditions for obtaining Frequency of the curricular unit

Special assessment (TE, DA, ...)

In these situations will apply the General rules for evaluation of the Faculty of Sport.

Classification improvement

In these situations will apply the General rules for evaluation of the Faculty of Sport.
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