Veidlapa Nr. M-3 (8)
Study Course Description

Methodology for Sports Research

Main Study Course Information

Course Code
SVI_008
Branch of Science
Health care sciences and services; Health sciences; Library Science; Mathematics; Media and communications; Theory of probability and mathematical statistics
ECTS
12.00
Target Audience
Medicine; Pedagogy; Sports Trainer
LQF
Level 7
Study Type And Form
Full-Time

Study Course Implementer

Course Supervisor
Structure Unit Manager
Structural Unit
Institute of Public Health
Contacts

Riga, Kronvalda boulevard 9, +371 67338307

About Study Course

Objective

Acquire in-depth knowledge and practical skills in research methods used in biomedical and sports science, statistical data analysis (descriptive statistics, closing statistics for assessing differences and commitments), analysis of scientific literature and application of evidence-based principles. Develop critical thinking, research competence and ability to qualitatively process, interpret and present the results of the epidemiological study, as well as acquire skills in searching for information in online databases and open access medical resources.

Preliminary Knowledge

The basis for understanding the functions of the human organism, data analysis and processing of scientific information shall consist of: basic human anatomy, histology and physiology; knowledge relevant to the level of secondary education in mathematics and information technology; basic computer skills; as well as knowledge of the national language and English.

Learning Outcomes

Knowledge

1.Classify sports science research methods: quantitative, qualitative, experimental and quasi-experimental, indicating their benefits and limitations.

Individual work and tests

Teaching materials I semester exam II semester inspection work

2.Recognise statistical terminology and basic methods in different types of publications.

Individual work and tests

Practical tasks III semester in-class assignment

3.Analyse and apply research measuring instruments to information resources.

Individual work and tests

Class attendance I semester exam Practical tasks

4.Interpret epidemiological indicators in sports science on the basis of the basic principles of epidemiology.

Individual work and tests

I semester exam Teaching materials Class attendance

5.Explain the concept of mixing factors and deviations in data analysis and interpretation.

Individual work and tests

Class attendance Teaching materials I semester exam

6.Identify and compare data sources, data collection methods and modern technologies for sports data acquisition.

Individual work and tests

I semester exam Teaching materials II semester inspection work

7.Analyse the principles of evidence-based sports science and assess compliance with ethical norms in studies.

Individual work and tests

II semester inspection work Presentation of research topic

8.Identify statistical terminology, application of basic methods and classification in sports science studies.

Individual work and tests

III semester in-class assignment Presentation of research topic III semester exam

9.Recognize and evaluate qualitative, reliable, internationally cited and scientific information resources, including evidence-based resources in sports science.

Individual work and tests

Presentation of research topic III semester in-class assignment I semester exam II semester inspection work Teaching materials Class attendance

Skills

1.Select and reasonably evaluate an appropriate study design and data collection method for a particular research problem.

Individual work and tests

II semester inspection work Presentation of research topic III semester exam

2.Plan, organise and implement intervention studies in sport and health, ensuring methodological and ethical quality.

Individual work and tests

III semester exam Presentation of research topic II semester inspection work

3.Develop a strategy for searching the necessary information and apply the appropriate tools and means for obtaining scientific information in sports research.

Individual work and tests

Practical tasks I semester exam Teaching materials Presentation of research topic

4.Use electronic databases to select evidence-based information.

Individual work and tests

Presentation of research topic III semester in-class assignment Class attendance I semester exam

5.Analyse and interpret sports epidemiological and other research data by linking them to theoretical concepts, identify ethical requirements according to the design of the study.

Individual work and tests

III semester in-class assignment II semester inspection work

6.Manage data processing capabilities, such as MS Excel and IBM SPSS, and perform methodologically correct data processing.

Individual work and tests

III semester exam

7.Interpret key statistical indicators and classify research methods (quantitative, qualitative, experimental, quasi-experimental) by assessing their benefits and limitations.

Individual work and tests

II semester inspection work

8.Precise reference and bibliographic guidance.

Individual work and tests

Presentation of research topic I semester exam Practical tasks Class attendance

9.Use the EndNote tool to organize the latest medical and sports science information.

Individual work and tests

Class attendance Practical tasks

10.Apply the learned data collection methods, data sources, and state-of-the-art technologies to sports data acquisition.

Individual work and tests

III semester exam

Competences

1.Independently analyse information search options, choose the most appropriate strategy, and critically evaluate sources, their reliability, usefulness, and relevance to the topic.

Individual work and tests

Presentation of research topic II semester inspection work Practical tasks Class attendance

2.Perform a qualitative and systematic search for information by developing an effective information search and data processing strategy in sports science research.

Individual work and tests

Class attendance Practical tasks

3.Assess the quality of the available studies and their compliance with ethical principles.

Individual work and tests

Class attendance II semester inspection work I semester exam

4.Analyse the research problem, develop an appropriate study plan, choose an appropriate study design and prepare an application for an Ethics Committee.

Individual work and tests

Presentation of research topic

5.Apply statistical methods and data visualisation tools to the analysis of sports research data.

6.Prepare and present a professional research report in writing and orally using academic style and scientific reasoning.

Individual work and tests

Presentation of research topic III semester in-class assignment

Assessment

Individual work

Title
% from total grade
Grade
1.

Teaching materials

-
-

Independent learning of study materials specified in E-studies prior to each lesson, in accordance with the topics to be learned in the lesson.

2.

Practical tasks

-
-

Performance of practical tasks assigned by the teaching staff between classes for strengthening research skills.

3.

Preparation for inspection work

-
-

Preparation for testing using training materials, lesson records and assignments in Miro.

Examination

Title
% from total grade
Grade
1.

Class attendance

10.00% from total grade
10 points

Active participation in classes, engaging in discussions and carrying out group and individual work. 10% of the final assessment.

2.

I semester exam

-
Test

The inspection work, which covers the topics of information literacy, research methodology and epidemiology, includes closed and open-type questions as well as a description of the search strategy with inclusion and exclusion criteria carried out within the framework of one research problem and accounts for 90% of the final assessment of the semester.

3.

II semester inspection work

-
Test

The inspection work, covering themes of research methodology and epidemiology, covers closed-end issues and accounts for 30% of the final assessment.

4.

Presentation of research topic

-
10 points

Development and presentation of the Master thesis topic: relevance, research problem, purpose and tasks of the study, design of the study, which accounts for 60% of the final assessment of the semester.

5.

III semester in-class assignment

40.00% from total grade
10 points

Application of statistical methods and example of interpretation of results in a single scientific Article representing 40% of the final assessment of the semester.

6.

III semester exam

50.00% from total grade
10 points

Development and presentation of the data analysis plan of the study carried out within the Master’s thesis, which represents 50% of the final assessment of the semester.

Study Course Theme Plan

FULL-TIME
Sports research methodology
  1. Lecture

Modality
Location
Contact hours
On site
Study room
2

Topics

Introduction to research methodology in sports science
  1. Lecture

Modality
Location
Contact hours
On site
Study room
2

Topics

Introduction. RSU resources and databases.
  1. Lecture

Modality
Location
Contact hours
On site
Study room
2

Topics

Basic principles for searching for information. Creating a search strategy.
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Searching for books and scientific publications in electronic catalogues
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Databases of E-books
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Databases of E-magazines. Databases of quoting information.
  1. Unaided Work

Modality
Location
Contact hours
Off site
-
3

Topics

Databases of E-books
Databases of E-magazines. Databases of quoting information.
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Principles for the use of the single finder Primo
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

PubMed database. Mesh Dictionary. PubMed tools, linking to full text resources.
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Create a comprehensive search strategy for PubMed
  1. Unaided Work

Modality
Location
Contact hours
Off site
-
3

Topics

Create a comprehensive search strategy for PubMed
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

References, types of references. Reference manager tool EndNote
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Evidence-based databases and their critical assessment
  1. Unaided Work

Modality
Location
Contact hours
Off site
-
3

Topics

Evidence-based databases and their critical assessment
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Artificial intelligence (AI) tools in databases and reference resources
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Free access information resources and evaluation thereof.
  1. Unaided Work

Modality
Location
Contact hours
Off site
-
3

Topics

Epidemiology in sports science
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Epidemiology in sports science
  1. Lecture

Modality
Location
Contact hours
On site
Study room
2

Topics

Epidemiological indicators and their interpretation
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Epidemiological indicators and their interpretation
  1. Unaided Work

Modality
Location
Contact hours
Off site
-
3

Topics

Epidemiological indicators and their interpretation
Total ECTS (Creditpoints):
4.00
Contact hours:
56 Academic Hours
Final Examination:
Test (Semester)
Sports research methodology
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Research errors, selection of study participants and ethical principles
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Health data: collection methods and evaluation thereof.
  1. Lecture

Modality
Location
Contact hours
On site
Study room
2

Topics

Data sources in sports science
  1. Unaided Work

Modality
Location
Contact hours
Off site
-
3

Topics

Data sources in sports science
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Data sources in sports science
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Modern technologies for obtaining sports data
  1. Lecture

Modality
Location
Contact hours
On site
Study room
2

Topics

Evidence-based sports science
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Evidence-based sports science
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Descriptive quantitative research in sports science
  1. Lecture

Modality
Location
Contact hours
On site
Study room
2

Topics

Descriptive qualitative research in sports science
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Descriptive qualitative research in sports science
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Study design choice
  1. Unaided Work

Modality
Location
Contact hours
Off site
-
3

Topics

Study design choice
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Publication and presentation of sports science research
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Planning of sports and health intervention studies
  1. Unaided Work

Modality
Location
Contact hours
Off site
-
3

Topics

Presentation of the independent research project
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Presentation of the independent research project
Total ECTS (Creditpoints):
4.00
Contact hours:
50 Academic Hours
Final Examination:
Test (Semester)
Sports research methodology
  1. Lecture

Modality
Location
Contact hours
On site
Study room
1

Topics

Introduction to statistics. Data types and measurement scales. Introduction to the SPSS software.
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Introduction to statistics. Data types and measurement scales. Introduction to the SPSS software.
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Work with SPSS, MS Excel: Create a file, define variables, import data. Cleaning and preparation of data.
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Descriptive statistics I: qualitative variables, frequency breakdowns, graphical representation.
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Descriptive Statistics II: quantitative variables, central trends and variance indicators.
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Examination of hypotheses I: t-test, ANOVA (parametric methods).
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Hypothesis Check II: non-parametric methods (Mann-Whitney, Wilcoxon, Kruskal-Wallis).
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Hypothesis Check III: qualitative variables (χ ² Test, Fisher’s expert Test).
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Correlations and linear regression.
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Logistical regression.
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Analysis of factors and key components.
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Calculation of sample size. Statistical power.
  1. Unaided Work

Modality
Location
Contact hours
Off site
-
4

Topics

Analysis of statistical data and presentation of results in a scientific Article
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Analysis of statistical data and presentation of results in a scientific Article
  1. Unaided Work

Modality
Location
Contact hours
Off site
-
4

Topics

Development and presentation of a research data analysis plan.
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
4

Topics

Development and presentation of a research data analysis plan.
Total ECTS (Creditpoints):
4.00
Contact hours:
53 Academic Hours
Final Examination:
Exam

Bibliography

Required Reading

1.

Jones, Ian. Research Methods for Sports Studies, Taylor & Francis Group, 2022. ProQuest Ebook CentralSuitable for English stream

2.

Zinātniskā rakstīšana un pētījumu rezultātu izplatīšana / Kristīnes Mārtinsones un Anitas Piperes zinātniskajā redakcijā. Otrais, papildinātais izdevums. Rīga: Rīgas Stradiņa universitāte, 2019.

3.

Jacobsen, K. H. 2021. Introduction to Health Research Methods. A Practical Guide. Jones & Bartlett LearningSuitable for English stream

4.

Timothy L. Lash, et al. Modern Epidemiology. Wolters Kluwer Health, 2021. EBSCOhostSuitable for English stream

5.

McCormick, Keith, et al. SPSS Statistics for Data Analysis and Visualization, John Wiley & Sons, Incorporated, 2017. ProQuest Ebook CentralSuitable for English stream

6.

Field, A. Discovering Statistics using IBM SPSS Statistics. 5th edition, Sage Publications, 2018.Suitable for English stream

7.

Barnes, C. 2015. The Use of Altmetrics as a Tool for Measuring Research Impact. Australian Academic & Research Libraries, 46(2), 121-134.Suitable for English stream

8.

Kirkham, J. J., Penfold, N. C., Murphy, F., Boutron, I., Ioannidis, J. P., Polka, J. and Moher, D. 2020. Systematic examination of preprint platforms for use in the medical and biomedical sciences setting. BMJ open. 10(12), e041849.Suitable for English stream

Additional Reading

1.

Kwartler, Ted. Sports Analytics in Practice with R, John Wiley & Sons, Incorporated, 2022. ProQuest Ebook CentralSuitable for English stream

2.

James Skinner, et al. Research Methods for Sport Management. Routledge, 2024.Suitable for English stream

3.

Artificial Intelligence in Sports, Movement, and Health, edited by Carlo Dindorf, et al., Springer, 2024. ProQuest Ebook CentralSuitable for English stream

4.

Grech, V. Write a Scientific Paper (WASP): Effective graphs and tables. Early Human Development, 2019.Suitable for English stream

5.

Ethics in Statistics : Opportunities and Challenges, edited by Hassan Doosti, Ethics International Press Limited, 2023. ProQuest Ebook Central.Suitable for English stream