Veidlapa Nr. M-3 (8)
Study Course Description
Media Criticism and Analysis
Course Code
KSK_159
Branch of Science
Communication Theory; Media and communications
ECTS
3.00
Target Audience
Communication Science; Information and Communication Science
LQF
Level 6
Study Type And Form
Full-Time; Part-Time
Study Course Implementer
Course Supervisor
Sergejs Kruks
Structure Unit Manager
Ieva Puzo
Structural Unit
Faculty of Social Sciences
Contacts
Dzirciema street 16, Rīga, szf@rsu.lv
About Study Course
Objective
Teaching quantitative media content analysis methodology; enhancing the empirical analysis of journalism and public relations texts; developing skills that enable formulation of hypotheses and research questions, definition of sample and coding procedures, collection of data, data processing in SPSS, interpretation and presentation of research results.
Preliminary Knowledge
Study course Introduction to Communication Theories.
Learning Outcomes
Knowledge
1.Students understand the theory and methodology of quantitative content analysis.
Skills
1.Students are able to define research problem, formulate research questions, prepare research design, collect data, process it in SPSS software, interpret results, write a research report.
Competences
1.Students carry out quantitative analysis of media messages and interpret data.
Assessment
Individual work
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Title
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% from total grade
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Grade
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|---|---|---|
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1.
Individual work |
-
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-
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Group work: Development of a quantitative research methodology for analysis of a chosen topic; gathering the data, statistical processing of the data.
In order to evaluate the quality of the study course as a whole, the student must fill out the study course evaluation questionnaire on the Student Portal.
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Examination
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Title
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% from total grade
|
Grade
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|---|---|---|
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1.
Examination |
-
|
-
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Prepares research methodology, collects and processes data, interprets results.
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2.
Examination |
-
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-
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Group project: quantitative research methodology (a description of the coding system and procedures), data collection (an excel table), and processing the data in SPSS programme (tables and indicators of statistical significance).
Participation in seminars.
Exam (test in e-studijas: 10 multiple choice and open questions.
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Study Course Theme Plan
FULL-TIME
Part 1
-
Lecture
|
Modality
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Location
|
Contact hours
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|---|---|---|
|
On site
|
Auditorium
|
2
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Topics
|
The concept of sampling. Types of samples, selection thereof for research. Synchronous and diachronic research.
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-
Lecture
|
Modality
|
Location
|
Contact hours
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|---|---|---|
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Off site
|
E-Studies platform
|
2
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Topics
|
The meaning of media content analysis. Importance of data in the evaluation of media work. Formulation of research problems. Research questions and hypotheses.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
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|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
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Coding instruction. Data collection protocol. Coding process. Pilot study. Calculation of the error. Clarification of categories.
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-
Class/Seminar
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Modality
|
Location
|
Contact hours
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|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Units to be measured. Data operationalisation. Categories and subcategories of content analysis. Types of measurement scales.
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-
Class/Seminar
|
Modality
|
Location
|
Contact hours
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|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Data processing in SPSS.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Data processing in SPSS.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Data processing in SPSS.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Units to be measured. Data operationalisation. Categories and subcategories of content analysis. Types of measurement scales.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Units to be measured. Data operationalisation. Categories and subcategories of content analysis. Types of measurement scales.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
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Topics
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Theoretical basis of content analysis. Paradigms and theories. Principles of objective data collection.
|
Total ECTS (Creditpoints):
3.00
Contact hours:
20 Academic Hours
Final Examination:
Exam (Written)
PART-TIME
Part 1
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Data processing in SPSS.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Units to be measured. Data operationalisation. Categories and subcategories of content analysis. Types of measurement scales.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
The meaning of media content analysis. Importance of data in the evaluation of media work. Formulation of research problems. Research questions and hypotheses.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Units to be measured. Data operationalisation. Categories and subcategories of content analysis. Types of measurement scales.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
The concept of sampling. Types of samples, selection thereof for research. Synchronous and diachronic research.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Units to be measured. Data operationalisation. Categories and subcategories of content analysis. Types of measurement scales.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Data processing in SPSS.
|
Total ECTS (Creditpoints):
3.00
Contact hours:
16 Academic Hours
Final Examination:
Exam (Written)
Bibliography
Required Reading
1.
Wimmer, R., J. Dominick (2014) Mass Media Research: An Introduction. 3rd edition. Boston, MA: Wadsworth.
2.
Riffe, D., S. Lacy, F. Fico (2019) Analyzing Media Messages. Using Quantitative Content Analysisin Research. 4th edition. Mahwah, NJ and London: Lawrence Erlbaum Associates.
3.
Kruks, S. (2022) Satura kvantitatīvā analīze. Kopsavilkums.
Additional Reading
1.
Kruks, S., J. Juzefovičs (2007) Ziņas Latvijas televīzijās. LTV1, LTV7, TV3, LNT, TV5 un PBK ziņu raidījumu satura analīze. Rīga: NRTP.
2.
Kruks, S., I. Šulmane (2006) Neiecietības izpausmes un iecietības veicināšana Latvijas presē 2004. gadā. Rīga: ĪUMSIL.