Subjects

Your browser does not support JavaScript, or its support is disabled. Some features may not be available.

Statistics for masters - JSM152

Title:	Statistika pro magistry (v angličtině)
Guaranteed by:	Department of Sociology (23-KS)
Faculty:	Faculty of Social Sciences
Actual:	from 2008 to 2009
Semester:	winter
E-Credits:	7
Examination process:	winter s.:
Hours per week, examination:	winter s.:2/1, Ex [HT]
Capacity:	unknown / unknown (unknown)
Min. number of students:	unlimited
4EU+:	no
Virtual mobility / capacity:	no
State of the course:	taught
Language:	English
Teaching methods:	full-time
Teaching methods:	full-time
Note:	course can be enrolled in outside the study plan enabled for web enrollment

Guarantor:	PhDr. Ing. Petr Soukup, Ph.D.
Pre-requisite :	JSM031

Examination dates Schedule Noticeboard

Annotation -

Last update: PhDr. Ing. Petr Soukup, Ph.D. (08.02.2012)

The course is focused on categorical data analysis (loglinear models, correspondence analysis) and regression models. Exam consits of 3 homework and presentation of statistical technique (every part is evaluated separately 0-100 %, every part has the same weight).
Grading: 0-50 % 4 (failed), 51 % - 69 % 3 (good), 70-84 % 2 (very good) and 85 % and more 1 (excelent)

Aim of the course -

Last update: PhDr. Ing. Petr Soukup, Ph.D. (17.12.2013)

The aim is to show real applications of advanced statistical techniques in SPSS.

Literature -

Last update: PhDr. Ing. Petr Soukup, Ph.D. (08.02.2012)

Tarling, R. 2009. Statistical modeling for social researchers. Routledge.

Masako Ishii-Kuntz 1994: Ordinal Log-Linear Models. Sage.

Luke 20043 Multilevel models. Sage.

Norusis. 2005. SPSS 13. Statistical procedures companion. Prentice Hall.

Field, A. 2009. Disovering statistics using SPSS. 3rd edtion. Sage

in Czech:

Petr Hebák, Jiří Hustopecký, Iva Malá 2005: Vícerozměrné statistické metody (2), Informatorium.

Hebák a kol. 2005: Vícerozměrné statistické metody (3), Informatorium.

Hendl J. 2004. Přehled statistických metod zpracování dat. Praha: Portál

Teaching methods -

Last update: PhDr. Ing. Petr Soukup, Ph.D. (08.02.2012)

lecture/exercise

Thrursdays (17.3, 14.4,12.5.) in Jinonice, computer lab 2074 8-12

Syllabus -

Last update: PhDr. Ing. Petr Soukup, Ph.D. (08.02.2012)

17.3.

1. Classification of multivariate methods. Statistics in MS Excel (analytic module - t-test, contingency tables, regression models).

2. Contingency tables, row and column profiles. Correspondence analysis.

14.4.

3. Contingency tables, Pearson chi-square test, contingency coefficients,sign schema. Odds, odds ratio,logit, loglinear model, two dimensional models, interactions. Overall tests and residuals. Information criteria (AIC, BIC).

12.5.

4. Linear regression and multilevel models in SPSS.