AN ANALYSIS OF DIFFERENTIATED LEVELS OF KNOWLEDGE OF JUNIOR HIGH SCHOOL GRADUATES IN 2002-2013
DOI:
https://doi.org/10.29015/cerem.219Keywords:
knowledge of junior high schools graduates, trend, classification, k-meansAbstract
The aim of the article is to apply selected methods of econometrics (dynamic and spatial) for analysis and assessment of knowledge and skills of junior high schools graduates in the years 2002-2013. In particular, the objective of the analyses was to answer the following questions:
- How did junior high school students cope with the tasks and issues contained in the exam in the part concerned with mathematics and natural sciences as well as in the humanities part in subsequent years?
- Are there any differences in the results obtained in the exams in the sub-periods of the twelve years under discussion?
- Are there any differences in the exam results in the individual sub-periods between voivodships and the parts of the exam?
In the analyses, data were used obtained from Student Achievement Analysis Team operating at the Institute for Educational Research[1] which made it possible not only to assess the dynamic changes in the graduates’ exam scores but also to conduct their spatial analysis by voivodships. Linear trend was used for the dynamics analysis, whereas for the studies of spatial changes, the k-means classification method was employed.
The analysis showed certain regularities present in the scores achieved by the junior high school graduates:
- There was a systematic decline in the graduates’ performance in mathematics and natural sciences in all voivodships in the period under study.
- The division of the years 2002-2013 into three periods – good, medium and poor results of junior high school graduates – had no clear impact on the diversification amongst voivodships.
- Students from the voivodships of south-eastern Poland achieved better exam scores in mathematics and natural sciences, and humanities.
The analysis has cognitive and applicative value. It can be used by local governments in their decision-making process relating to the improvement of the quality of educational services at the junior high school level.[1] http://pwe.ibe.edu.pl/ [accessed on 20.09.2015]
References
Aczel A.D. (2003) Statystyka w zarządzaniu, PWN Warszawa.
Balicki A. (2013) Statystyczna analiza wielowymiarowa i jej zastosowania społeczno-ekonomiczne Wydawnictwo Uniwersytetu Gdańskiego.
Gatnar E., Walesiak M. (red.) (2004) Metody statystycznej analizy wielowymiarowej w badaniach marketingowych, Wydawnictwo Akademii Ekonomicznej im. Oskara Langego we Wrocławiu, Wrocław.
Goldberg I. i in. (2004), Perspektywy gospodarki opartej o wiedzę w Polsce; raport Banku Światowego, KBN, http://kbn.icm.edu.pl/wyniki_raportu_banku_swiatowego.html#streszczenie [dostęp 28.11.2014].
Grabiński T., Wydymus S., Zeliaś A., (1989) Metody taksonomii numerycznej w modelowaniu zjawisk społeczno-gospodarczych, PWN Warszawa.
Jajuga K. (1993) Statystyczna analiza wielowymiarowa, PWN Warszawa.
Lipiec-Zajchowska M. (red.) (2003) Wspomaganie procesów decyzyjnych. Tom II Ekonometria, Wydawnictwo C.H. Beck, Warszawa.
Nowak E. (1990) Metody taksonomiczne w klasyfikacji obiektów społeczno-gospodarczych PWE Warszawa.
Pociecha J. (1996) Metody statystyczne w badaniach marketingowych PWN Warszawa.
Pociecha J., Podolec B., Sokołowski A., Zając K. (1988) Metody taksonomiczne w badaniach społeczno-ekonomicznych PWN Warszawa.
Stanimir A. (red.) (2006) Analiza danych marketingowych. Problemy, metody, przykłady, wyd. Akademii Ekonomicznej im. Oskara Langego, Wrocław.
Walesiak M. (1996) Metody analizy danych marketingowych, PWN, Warszawa.
Zeliaś A. (red) (2000) Taksonomiczna analiza przestrzennego zróżnicowania poziomu życia w Polsce w ujęciu dynamicznym, Wyd. Akademii Ekonomicznej w Krakowie, Kraków.
Downloads
Published
Issue
Section
License
The aim of CEREM is to make scientific work available in accordance with the principle of open access. The rules mentioned below are important, as they enable CEREM and its publisher, the WSB Merito University in Wroclaw, to distribute the scientific work to a wide public while complying with specific legal requirements, at the same time protecting the rights of the authors.
The author transfers to the WSB Merito University in Wroclaw, free of charge and without territorial limitations, with all proprietary copyrights to the said piece of work in the understanding of the act of 4th February 1994 on copyrights and derivative rights (Journal of Laws of 1994, no. 24, item 83, as amended) on an exclusivity basis, i.e. the rights to:
1. Make the piece of work in question available via the Digital Library established by the WSB Merito University in Wroclaw.
2. Produce, record and reproduce in multiple copies the piece of work using any techniques whatsoever, including printing, reprography, magnetic recording and digital processing, and particularly its reproduction by recording on CDs and similar data carriers,
3. Use fragments of the piece of work for promotional purposes in publications, promotional materials, the Internet and Intranet type networks managed by the WSB Merito University in Wroclaw.
4. Store the piece of work into computer databases managed by the WSB Merito University in Wroclaw.
5. Copy and reproduce the piece of work using photo-mechanic technologies other than those commonly known at the time of the signature hereof (photocopies, Xerox copies etc.),
6. Process the piece of work, transferring it into an electronic form, and distribute it on the Internet without limitations.
