PředmětyPředměty(verze: 850)
Předmět, akademický rok 2018/2019
  
Quantitative methods in social sciences - JMMZ342
Anglický název: Quantitative methods in social sciences
Zajišťuje: Katedra evropských studií (23-KZS)
Fakulta: Fakulta sociálních věd
Platnost: od 2017
Semestr: letní
Body: 6
E-Kredity: 6
Způsob provedení zkoušky: letní s.:
Rozsah, examinace: letní s.:0/2 Z [hodiny/týden]
Počet míst: neurčen / 15 (15)
Minimální obsazenost: neomezen
Stav předmětu: vyučován
Jazyk výuky: angličtina
Způsob výuky: prezenční
Poznámka: předmět je možno zapsat mimo plán
povolen pro zápis po webu
při zápisu přednost, je-li ve stud. plánu
Garant: Mgr. Ivan Petrúšek
Vyučující: Mgr. Ivan Petrúšek
Anotace - angličtina
Poslední úprava: Mgr. Ivan Petrúšek (13.12.2017)
This introductory course to quantitative methods in social sciences presents basic concepts of statistical analysis of quantitative data. Students will gradually learn about various standard statistical methods and different quantitative research designs. Furthermore, students will understand how these methods are employed by social science researchers in academic articles. No formal training in mathematics is required for this course. Although some mathematical formulas will be presented, these will be kept to a minimum. The course does not teach any statistical software.
Cíl předmětu - angličtina
Poslední úprava: Mgr. Ivan Petrúšek (18.02.2019)

The course aims to provide students with a substantive understanding of the covered concepts and statistical methods. The course should enable students to critically read academic research articles employing quantitative methods and to identify arguments made with the support of quantitative data. The emphasis will be placed on showing how research questions and hypotheses are answered/tested using statistical methods. 

Podmínky zakončení předmětu - angličtina
Poslední úprava: Mgr. Ivan Petrúšek (18.02.2019)

Grades will be based on the following:

  • Writing three paper critiques (60 points, 20 points per paper critique)
  • Two in-class presentations (30 points, 15 points per presentation)
  • Participation in article discussions (10 points)

In total, a student may earn up to 100 points.

 

Grading scheme:

100–91 points → grade A

90–81 points → grade B

80–71 points → grade C

70–61 points → grade D

60–51 points → grade E

50–0 points → grade F (i.e. not passed)

 

Students enrolled in programs accredited at Charles University (e.g. Master in Area Studies) are graded based on a pass/fail basis.

Visiting students (e.g. ERASMUS+) may obtain a grade (A to F) for their transcript of records.

 

Paper critique instructions

Each course participant will choose three articles during the second week (from the 11 articles listed in the course schedule). Paper critiques must be between 800 and 1000 words and must be submitted at least 30 hours prior to the corresponding class via email (in .pdf, .doc or .docx format). Each student submits three paper critiques during the semester and must be present during the actual paper discussion (failing to submit a single paper critique will automatically result in a failing grade). Further details and guidelines will be provided during the first class.

Literatura - angličtina
Poslední úprava: Mgr. Ivan Petrúšek (18.02.2019)

Each class is accompanied by a mandatory reading assignment from the course textbook.

  • Agresti, A., 2018. Statistical Methods for the Social Sciences (5th Edition). Pearson.

 

Starting from the second week, each class contains a mandatory research article. These articles employ quantitative methods covered during lectures to answer substantive research questions. Articles will be discussed during the seminars and must be read by all course participants prior to the class. Students will also write paper critiques on these articles (see the instructions below).

 

Furthermore, most classes also contain recommended reading from a popular science book by Charles Wheelan. This book presents the discussed concepts in a more approachable manner and shows manifold practical applications of the concepts covered during classes and in the textbook. Reading these is optional.

  • Wheelan, Ch., 2013. Naked Statistics: Stripping the Dread from the Data. W. W. Norton.
Metody výuky - angličtina
Poslední úprava: Mgr. Ivan Petrúšek (18.02.2019)

The classes are a combination of lectures and seminars. Each class is divided into two parts. The first part (approx. 45 minutes) is a lecture during which the tutor introduces key concepts of quantitative methodology and statistics. The second part (approx. 35 minutes) consists of an article presentation given by a student and a subsequent article discussion. 

 
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