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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">asu</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник Атырауского университета имени Халела Досмухамедова</journal-title><trans-title-group xml:lang="en"><trans-title>Bulletin of the Khalel Dosmukhamedov Atyrau University</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2077-0197</issn><issn pub-type="epub">2790-332X</issn><publisher><publisher-name>Атырауский университет имени Халела Досмухамедова</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">asu-190</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ЭКОНОМИКА И ПРАВО</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ECONOMICS AND LAW</subject></subj-group></article-categories><title-group><article-title>CLASSIFICATION OF ACADEMIC ORGANIZATIONS IN KAZAKHSTAN USING HIERARCHIC CLUSTER ANALYSIS</article-title><trans-title-group xml:lang="en"><trans-title>CLASSIFICATION OF ACADEMIC ORGANIZATIONS IN KAZAKHSTAN USING HIERARCHIC CLUSTER ANALYSIS</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Айтимбетов</surname><given-names>М.</given-names></name></name-alternatives><bio xml:lang="ru"/><email xlink:type="simple">m.aitimbetov@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Шилибекова</surname><given-names>А. С.</given-names></name></name-alternatives><bio xml:lang="ru"/><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Анатолийский университет<country>Турция</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru">Университет Стамбула<country>Турция</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2019</year></pub-date><pub-date pub-type="epub"><day>19</day><month>02</month><year>2021</year></pub-date><volume>54</volume><issue>3</issue><fpage>76</fpage><lpage>88</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Айтимбетов М., Шилибекова А.С., 2021</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="ru">Айтимбетов М., Шилибекова А.С.</copyright-holder><copyright-holder xml:lang="en">Айтимбетов М., Шилибекова А.С.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://asu.ejournal.kz/jour/article/view/190">https://asu.ejournal.kz/jour/article/view/190</self-uri><abstract/><trans-abstract xml:lang="en"><p>The purpose of the research is to classify academic organizations in Kazakhstan and analyze overall higher education competitiveness using the hierarchical cluster analysis method. The results of the study can be used as an effective source of information in development of institutional policies and benchmarking. The lack of a classification scheme for academic organizations in Kazakhstan imposes restrictions on policy research as well as academic research. Without a classification scheme for academic organizations, researchers and policy makers have to work with relatively random comparable groups. Such studies may lead to inappropriate and inconsistent results. Regarding this need, the main purpose of this study is to classify the academic organizations in Kazakhstan in terms of their institutional size and performance. As a result of the clustering analysis, the academic organizations were divided in 4 groups forming in the dendogram. Academic organizations in cluster A are academic organizations with a focus on growth and research. The cluster consists mainly of high quality education and high performing academic organizations. Academic organizations in cluster B include the oldest medium-sized academic organizations. Cluster C is composed of academic organizations located in the Western region of Kazakhstan, while Cluster D contains small and medium-sized and relatively old academic organizations.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>Academic organizations</kwd><kwd>University</kwd><kwd>Cluster analysis</kwd><kwd>Rankings</kwd><kwd>Performance measurement of academic organizations</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Avkiran, N. K. (2001). Investigating technical and scale efficiencies of Australian universities through data envelopment analysis. Socio-Economic Planning Sciences, 35(1), 57-80</mixed-citation><mixed-citation xml:lang="en">Avkiran, N. K. (2001). Investigating technical and scale efficiencies of Australian universities through data envelopment analysis. 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