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STATISTINE METODE V EPIDEMIOLOGIJI

STATISTINE METODE V EPIDEMIOLOGIJI

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learning with experience in small groups based on global worked example using high<br />

quality computer programme is used, combined with large group methods, being<br />

introductory lecture and demonstration (method demonstration, as well as result<br />

demonstration). Occasionally, “buzz” groups method is used.<br />

Size of groups<br />

In a large group, there are 12-18 students.<br />

In each small group there are no more than three students with optimal number<br />

of two. Every single small group of students, together with a computer constitutes one<br />

working unit. The students are distributed considering following criteria, if possible:<br />

• one student in a group is familiar with working on a computer;<br />

• one student is not a beginner of a postgraduate specialistic study of public<br />

health.<br />

This approach enables students to actively share their knowledge and help<br />

themselves inside each small group.<br />

Other active involvement<br />

Additionally, discussion inside groups is stimulated, as well as discussion between<br />

groups. Also, the comparison of results between working units, whenever possible, is<br />

stimulated.<br />

Data material and teaching tools<br />

Data material<br />

For already several years at teaching statistical methods in public health in Slovenia<br />

data collection which enables learning such methods in quite a pleasant way has been<br />

used. These are the data collecting within the Perinatal Informational System of<br />

Slovenia (PISS) (44), which is considered to be one of the permanent collections of<br />

medical data of the highest quality with the many years' tradition. It was started in<br />

1987 when collection of data started on a uniform form in all Slovene maternity<br />

hospitals.<br />

Data material for teaching is only a small piece out of the whole collection<br />

PISS, prepared especially for this purpose. Safeguard of personal data is assured so<br />

that all personal identificators have been removed. Moreover, only the data are<br />

selected from the whole collection which shall be used for the teaching purpose.<br />

Special attention was paid to include such data, which are possible to play the role of<br />

the “effect” as well as the data which can play the role of “cause”. Also, they are<br />

chosen to have diverse statistical characteristics as to be able to represent the majority<br />

of statistical methods.<br />

The basic data material for all statistical activities is composed of more than<br />

6000 statistical units, representing the model of a population. For teaching different<br />

statistical methods, samples of various sizes are then randomly selected from the<br />

population database. The smallest sample is composed of 30 units and the largest one<br />

of 800 units. The students shall select some of such samples from the population<br />

while performing practical work by themselves and others shall be prepared by the<br />

teacher. First ones are, on principle, different at each working place and shall be, at<br />

the end of the corresponding exercise, deleted by the students or by the teacher.<br />

30

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