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Course info
KSA / AAV1
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Course description
Department/Unit / Abbreviation
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KSA
/
AAV1
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Academic Year
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2023/2024
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Academic Year
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2023/2024
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Title
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Anthropological Research Data Analysis 1
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Form of course completion
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Exam
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Form of course completion
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Exam
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Accredited / Credits
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Yes,
5
Cred.
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Type of completion
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Written
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Type of completion
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Written
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Time requirements
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Lecture
2
[Hours/Week]
Tutorial
2
[Hours/Week]
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Course credit prior to examination
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Yes
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Course credit prior to examination
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Yes
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Included in study average
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YES
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Language of instruction
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Czech
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Occ/max
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|
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Summer semester
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0 / -
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0 / -
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0 / -
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Included in study average
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YES
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Winter semester
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0 / -
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1 / -
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0 / -
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Repeated registration
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NO
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Repeated registration
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NO
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Timetable
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Yes
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Semester taught
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Winter semester
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Semester taught
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Winter semester
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Minimum (B + C) students
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10
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Optional course |
Yes
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Optional course
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Yes
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Language of instruction
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Czech
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Internship duration
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0
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No. of hours of on-premise lessons |
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Evaluation scale |
1|2|3|4 |
Periodicity |
každý rok
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Evaluation scale for credit before examination |
S|N |
Periodicita upřesnění |
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Fundamental theoretical course |
No
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Fundamental course |
Yes
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Fundamental theoretical course |
No
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Evaluation scale |
1|2|3|4 |
Evaluation scale for credit before examination |
S|N |
Substituted course
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None
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Preclusive courses
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KSA/AAV and KSA/AAVX
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Prerequisite courses
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N/A
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Informally recommended courses
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N/A
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Courses depending on this Course
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N/A
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Histogram of students' grades over the years:
Graphic PNG
,
XLS
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Course objectives:
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This course is intended for postgraduates/Masters students.The goal of the course is to teach student to appropriate evaluation of his own data collected during his/her diploma research.
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Requirements on student
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Writing test. Seminar work. Reading in English.
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Content
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(1) Types of variables
(2) Descriptive statistics (tables, graphs, measures of central tendency and variability)
(3) Normal distribution
(4) Confidence intervals
(5) One- and two-sample tests
(6) Goodness-of-fit, contingency tables
https://portal.zcu.cz/wps/myportal/predmety/ksa/aav1
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Activities
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Fields of study
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Guarantors and lecturers
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Literature
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Basic:
Sokal, Robert R.; Rohlf, F. James. Biometry : the principles and practice of statistics in biological research. 3rd ed. New York : W.H. Freeman and Company, 2001. ISBN 0-7167-2411-1.
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Basic:
Zar, Jerrold H. Biostatistical analysis. New Jersey : Prentice Hall, 1999. ISBN 0-13-081542-X.
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Recommended:
Efron, Bradley; Tibshirani, Robert J. An introduction to the bootstrap. Boca Raton : Chapman & Hall, 1993. ISBN 0-412-04231-2.
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Recommended:
Disman, Miroslav. Jak se vyrábí sociologická znalost. Praha : Karolinum, 1998. ISBN 80-7184-141-2.
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Recommended:
Hendl, Jan. Přehled statistických metod zpracování dat : analýza a metaanalýza dat. Praha : Portál, 2004. ISBN 80-7178-820-1.
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Recommended:
Manly, B. F. J. Randomization, Bootstrap And Monte Carlo Methods in Biology. LondonChapman and Hall, 1991.
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Recommended:
Bernard, Harvey Russell. Research methods in anthropology : qualitative and quantitative approaches. Walnut Creek : Altamira Press, 1995. ISBN 0-8039-5245-7.
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On-line library catalogues
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Time requirements
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All forms of study
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Activities
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Time requirements for activity [h]
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Contact hours
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26
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Preparation for an examination (30-60)
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40
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Practical training (number of hours)
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26
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Preparation for formative assessments (2-20)
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40
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Total
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132
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Prerequisites
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Knowledge - students are expected to possess the following knowledge before the course commences to finish it successfully: |
charakterizovat a vysvětlit základní popisné statistiky (např. průměr, medián, rozsah) |
rozpoznat odbornou práci založenou na metodologii kvantitativních šetření |
Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
ovládat základní funkce v prostředí MS Excel (či podobném software) |
kriticky reflektovat a porozumět odbornému textu v českém jazyce |
kriticky reflektovat a porozumět odbornému textu v anglickém jazyce |
po technické stránce napsat a formátovat odborný text v MS Word (či podobném software) |
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Learning outcomes
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Knowledge - knowledge resulting from the course: |
podle typu dat navrhnout základní metody pro jejich hodnocení |
vysvětlit algoritmus testování hypotéz, názvy základních testů a jejich uplatnění na konkrétních příkladech |
Skills - skills resulting from the course: |
ovládat pokročilejší funkce MS Excel |
vytvořit popisnou statistiku pro proměnné a naformátovat výsledné tabulky a grafy podle zvyklostí v mezinárodních odborných časopisech |
použít alespoň jeden statistický software a využít pro základní analýzu dat |
porozumět a především správně interpretovat výstupy z analýz publikovaných v odborné literatuře |
vybrat odborný problém, získat data, navrhnout postup analýzy a podat o tom zprávu ve formě krátkého textu strukturovaného podle pravidel odborných článků |
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Assessment methods
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Knowledge - knowledge achieved by taking this course are verified by the following means: |
Combined exam |
Test |
Skills - skills achieved by taking this course are verified by the following means: |
Test |
Seminar work |
Skills demonstration during practicum |
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Teaching methods
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Knowledge - the following training methods are used to achieve the required knowledge: |
Lecture |
Group discussion |
Textual studies |
Self-study of literature |
Skills - the following training methods are used to achieve the required skills: |
Practicum |
Self-study of literature |
Textual studies |
Group discussion |
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