Multivariate statistical methods for social and health sciences 7,5 credits FOR054F
Multivariate statistical methods in research focusing on humans and organizations
(Swedish title: Multivariata statistiska metoder i forskning med fokus på människor och organisationer)
Credits
7.5
Course code
FOR054F
Departement
Department of Health, Education and Technology
Valid for
Spring 2024, Study period 3
Prerequisites:
General entry requirements for the doctoral level. Admitted to doctoral studies at LTU. Recommended prior knowledge is familiarity with the following statistical concepts: Sample mean, sample variance, sample standard deviation, box-plot, probability distribution, population mean, population variance, population standard deviation, the normal distribution, the t-distribution, confidence interval, hypothesis testing, simple regression analysis.
Course aim / Intended learning outcomes
After completed course the student is expected to be able to:
- Relate to the theoretical basis for quantitative research methodology and measurement validity
- Describe and apply the most common statistical multivariate methods used in social and health sciences
- Justify and argue for specific method selection and interpretation of analyses for given problems
- Discuss gender and other equality perspectives on multivariate analysing
With the aim of preparing for addressing complex relationships between variables in quantitative social and health sciences research.
The learning outcomes address the following outcomes in the Higher Education Ordinance, Annex 2:
- demonstrate familiarity with research methodology in general and the methods of the specific field of research in particular.
- demonstrate the capacity for scholarly analysis and synthesis as well as review and assess new and complex phenomena, issues and situations autonomously and critically
- demonstrate the skills in both national and international contexts to present and discuss research and research findings authoritatively in speech and writing and in dialogue with the academic community and society in general
- demonstrate specialised insight into the possibilities and limitations of research, its role in society and the responsibility of the individual for how it is used.
Course contents
- Theoretical concepts
- Selection of common multivariate methods
- Statistical power and effect size
- Application of selected statistical software and on-line services
- Gender and other equality cases
Teaching
The course will start with a repetition task. Students’ learning is based on course literature, specific study tasks and exercises, seminar discussions and presentations, as well as statistical labs. This is supported by introductory lessons and recorded material. There will be seven scheduled occasions. Access to a laptop computer and the software IBM SPSS Statistics is necessary. Details will be presented in a study guide provided on admission to the course.
Examination
The course will be examined through participation in seminars (outcomes 1, 3 and 4), oral and written presentations and assignments (outcomes 2 and 3) and a final take home exam (outcome 2 and 3). Grades given: Pass/Fail
Examiner
Professor Lars Nyberg (PLNY)
Literature
- Hair, Black, Babin and Anderson (2018). Multivariate Data Analysis: 8th Edition. Cengage Learning EMEA, ISBN: 9781473756540
- Pallant, Julie (2016), SPSS Survival Manual (6th ed.) McGraw Hill. ISBN: 9780335261543
- A selection of articles and recorded material will be available.
Other information
The course will be given in English. A detailed study guide will be provided on admission.
Application
Send the application by e-mail to Mats Westerberg, mats.westerberg@ltu.se. Enter your name, social security number and department, not later than Dec 15, 2023.
Contact
Professor Mats Westerberg, mats.westerberg@ltu.se.
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