The latvian academy of culture

Requirements for the Acquisition of Credit Points: A successfully passed test and examination.

Literature:

Ekonomikas pamati, Dž. F. Stenleiks, Rīga: Zvaigzne ABC, 1997

Pārejas ekonomika: No plāna uz tirgu, A.J. Isaksens, K.B. Hamiltons, T. Gilfasons, Rīga: Zinātne, 1992

Ekonomika, Dace Vilne, Inta Birzniece, Rīga: Junior Achievement - Latvija, 1999

Tirgus, cenas, konkurence, Georgs Lībermanis, Rīga: Kamene, 1998

Peļņa kā uzņēmējdarbības motīvs, Georgs Lībermanis, Rīga: Kamene, 1999

Nauda. Inflācija, Georgs Lībermanis, Rīga: Kamene, 1999


The Name of the Course: Statistical Methods in Sociological Research
The Scope of the Course: 64 academic hours.

4 credit points. The form of assessment: an examination.

The Author of the Course: Ass. Prof. Silva Seņkāne, Dr.soc.
Preconditions for the Acquisition of the Course: Prior knowledge required in the following courses: fundamentals of computer science, organization of social research, the methods of acquiring sociological information.
The Contents of the Course: The aim of the course is to give basic knowledge in the methods of statistics used in sociology, to provide the students with a practical instrument for processing and analysis of empirical statistical data: SPSS for Windows.

The objectives of the course:

• 
  To introduce to the fundamentals of the descriptive and inferencial statistics and its application in social sciences,
  
• 
  To introduce to the general principles of the use of statistical packages,
  
• 
  To introduce to the possibilities of SPSS in the realization of different data processing needs and stages,
  
• 
  To acquire skills in analyzing real social data SPSS.
  

Thematic Planning:

Theme	Week	Type of classes and hours
An overview of the logistics of social research.	1.	L2
Introduction to SPSS – the beginning of SPSS, the structure of the screen, the menu bar, standard prompts, SPSS Tutorial.	2.	P2
The theories of probability in the creation of selection and the foundation for mathematical statistics.	3.	L2
The use of the computer in the modelling of selection.	4.	L1,P1
The creation of SPSS data set: basic notions, its structure and specific features.	5., 6.	P4
The specific features of measurement in the social sciences.	7.	L2
The levels of measurements.	8.	P2
Work with SPSS data sets: opening, saving, FILE, DATA.	9.	P2
Diagnostics and troubleshooting of the entered errors of the data set.	10.	P2
Transformation of the variable: the types of the tasks of TRANSFORM.	11., 12.	P4
11. The scales of Thurstone, Likert and Bogardus.	13.	P2
12. The one-dimensional statistic analysis STATISTICS: procedures FREQUENCIES, DESCRIPTIVES, EXPLORE, LIST CASES.	14., 15., 16., 17.	L8
13. The one-dimensional statistic analysis STATISTICS: procedures FREQUENCIES, DESCRIPTIVES, EXPLORE, LIST CASES.	18., 19., 20., 21.	P8
14. The multidimensional statistic analysis STATISTICS: procedures CROSSTABS, T-TEST, CORRELATE, REGRESSION, Non PARametric TESTs, CLUSTER, FACTOR and others.	22., 23., 24., 25.	L8
15. The multidimensional statistic analysis STATISTICS: procedures CROSSTABS, T-TEST, CORRELATE, REGRESSION, Non PARametric TESTs, CLUSTER, FACTOR and others.	26., 27., 28., 29.	P8
16. The preparation of the processing results for the account GRAPHS.	30., 31.	P4