Qualitative Research with Use of NVIVO

Code:

P852

Acronym:

IQRN

Keywords
Classification	Keyword
OFICIAL	Psychology

Instance: 2016/2017 - 2S

Active?	Yes
Web Page:	https://moodle.up.pt/course/view.php?id=3502
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	14	Official Curricular Structure	4	-	6	54	162

Teaching language

Suitable for English-speaking students

Objectives

It is intended that students acquire acquire autonomy in conducting qualitative research with support of the software NVivo (QSR, version 11).

At the end of the course students should be able to:
- Design a qualitative research project with the support of NVivo
- Use different sources in a research project;
- Analyze the content of the sources used in the research project;
- Questioning the data using the resources of NVivo;
- Interpret the results of the project quality;
- Prepare a scientific report (paper) of the research conducted with the support of NVivo.

Learning outcomes and competences

Master the diferrent phases of qualitative research with the support of QDA.
Conducting a qualitative research project.

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

Notions on qualitative research.

Program

Part I. Qualitative Research

1. The design of a qualitative research project 

2. The quality of the inferences 

3. Data collection technique

4. Analysing data

Part II. NVivo

I: NVivo's organization and capabilities; Os Sources; 

II. Organizing and analysing; Working with ideias and shapping results;

III - further analysis in NVivo: models and relationships; sets;

IV: Querying and visualizing data;

V: Reporting.

Mandatory literature

Bazeley, P., & Richards, L.; The NVivo qualitative project book, London: Sage Publications, 2000
Brandão, C. & Miguez, J.; Using NVivo to Evaluate a Program of Goal Corrected Emphatic Attunement Skills: A Case Study in the Context of Higher Education. Advances in Intelligent Systems and Computing, Vol. 354., 2015. ISBN: DOI: 10.1007/978-3-319-16528-8_21, p. 223
Bardin Laurence; Análise de conteúdo. ISBN: 972-44-0898-1
Foddy William 1942-; Como perguntar. ISBN: 972-8027-54-0
Ghiglione Rodolphe; O^inquérito
Mucchielli Roger; A^entrevista não-diretiva. ISBN: 85-336-0258-8
Richards Lyn; Handling qualitative data. ISBN: 978-0-7619-4259-7
Rubin Herbert J.; Qualitative interviewing. ISBN: 0-8039-5096-9

Comments from the literature

When possible, the bibliography will be made available in digital format for students (in the UC page).

Teaching methods and learning activities

- Exposure of contents
- Work tutorials
- Students autonomous work.

Software

NVivo, QSR

keywords

Social sciences > Psychological sciences

Evaluation Type

Distributed evaluation without final exam

Assessment Components

designation	Weight (%)
Defesa pública de dissertação, de relatório de projeto ou estágio, ou de tese	30,00
Trabalho escrito	45,00
Trabalho laboratorial	25,00
Total:	100,00

Amount of time allocated to each course unit

designation	Time (hours)
Elaboração de projeto	54,00
Elaboração de relatório/dissertação/tese	15,00
Estudo autónomo	9,00
Frequência das aulas	54,00
Trabalho de campo	10,00
Trabalho de investigação	20,00
Total:	162,00

Eligibility for exams

Classes are subject to verification of attendance. Safeguarding the special cases covered in the law, students who miss more than 25% of the classes planned not get frequency at course unit (according to Regulation Assessment of students FPCEUP - Article 9, point 2.).

Calculation formula of final grade

The final grade requires weighting the group work in the following way:

(a) oral presentation (30% of the grade):
- interim (15%)
- final (15%)

(b) paper (35% of the grade)
in groups of two, presents the qualitative research conducted by students, following APA 6th,

(c) digital NVivo project (25% of the grade)
presents the use of the NVivo software.

(d) individual reflection regarding the research process (10% of the grade).

The final classification is obtained by weighting the evaluation components outlined above.
The ratings in each of the component and the final classification will be communicated to students on a scale of 0 to 20 points.

Examinations or Special Assignments

See "Special assessment" above.

Special assessment (TE, DA, ...)

Students who by law are exempted from conditions of attendance to classes will perform all assessment components defined (for this, they should contact the teacher until the 2nd class).

Classification improvement

Frequency of the subject (as predicted Article 10 of the General Regulation for the students Assessment, FPCEUP).

Observations

The grade improvement requires improving the paper and the technical report.