{"id":851,"date":"2014-10-23T15:46:52","date_gmt":"2014-10-23T13:46:52","guid":{"rendered":"http:\/\/userweb.pedf.cuni.cz\/wp\/uvrv\/?page_id=851"},"modified":"2016-05-25T16:45:24","modified_gmt":"2016-05-25T14:45:24","slug":"statistika-v-pedagogickem-vyzkumu","status":"publish","type":"page","link":"https:\/\/pages.pedf.cuni.cz\/uvrv\/ph-d-studium-na-uvrv\/doktorske-studium\/statistika-v-pedagogickem-vyzkumu\/","title":{"rendered":"Statistika v pedagogick\u00e9m v\u00fdzkumu"},"content":{"rendered":"

P\u0159edn\u00e1\u0161ej\u00edc\u00ed:<\/strong> PhDr. Martin Chv\u00e1l, Ph.D., kontakt: tel. 221 900 533, e-mail martin.chval@pedf.cuni.cz<\/p>\n

M\u00edsto kon\u00e1n\u00ed:<\/strong> u\u010debna KMDM \u201e\u010deledn\u00edk\u201c (naproti kated\u0159e)<\/p>\n

Term\u00edn kon\u00e1n\u00ed ZS 2014\/15<\/strong>: \u00a0aktu\u00e1ln\u00ed informace naleznete zde<\/a><\/p>\n

C\u00edle:<\/strong> \u00da\u010dastn\u00edci kurzu si osvoj\u00ed dovednosti po\u010d\u00edtat a graficky prezentovat z\u00e1kladn\u00ed popisn\u00e9 charakteristiky dat. Porozum\u00ed teorii testov\u00e1n\u00ed hypot\u00e9z a n\u00e1ro\u010dn\u011bj\u0161\u00edm postup\u016fm anal\u00fdzy dat na \u00farove\u0148 dovednosti komunikace se statistikem a spr\u00e1vn\u00e9 interpretace statistick\u00e9 prezentace v\u00fdsledk\u016f.<\/p>\n

Obsah:<\/strong><\/p>\n

\u2022 Typy dat, prom\u011bnn\u00e9 spojit\u00e9 a diskr\u00e9tn\u00ed, tvorba datab\u00e1ze, vstup do popisn\u00e9 statistiky (tabulky \u010detnost\u00ed)
\n\u2022 Tvorba z\u00e1kladn\u00edch graf\u016f v Excelu, m\u00edry polohy, m\u00edry rozpt\u00fdlen\u00ed, osvojen\u00ed popisn\u00e9 statistiky v pr\u00e1ci v Excelu, \u0159e\u0161en\u00ed probl\u00e9m\u016f \u010di\u0161t\u011bn\u00ed dat, tvorba kategori\u00ed, nahrazov\u00e1n\u00ed hodnot intervaly a obr\u00e1cen\u011b („p\u0159emost\u011bn\u00ed“ mezi metodologi\u00ed a statistikou)
\n\u2022 Norm\u00e1ln\u00ed rozd\u011blen\u00ed, line\u00e1rn\u00ed a plo\u0161n\u00e1 normalizace, tvorba norem a mo\u017enosti jejich rezentace, z-sk\u00f3r
\n\u2022 t-rozd\u011blen\u00ed a intervalov\u00e9 odhady pro st\u0159edn\u00ed hodnotu, \u00favod to teorie testov\u00e1n\u00ed hypot\u00e9z, chyby 1. a 2. druhu, velikost \u00fa\u010dinku, t-testy
\n\u2022 F-test, korela\u010dn\u00ed koeficient, test pomoc\u00ed korela\u010dn\u00edho koeficientu, ch\u00ed-kvadr\u00e1t rozd\u011blen\u00ed, ch\u00ed-kvadr\u00e1t test
\n\u2022 \u00davod do regresn\u00ed anal\u00fdzy, line\u00e1rn\u00ed regrese, vstup do pr\u00e1ce v SPSS
\n\u2022 Tvorba dotazn\u00edk\u016f a test\u016f, tvorba \u0161k\u00e1l, obt\u00ed\u017enost a citlivost polo\u017eek
\n\u2022 Teorie validity a reliability, koeficienty reliability, Cronbachovo alfa<\/p>\n

Forma a rozsah v\u00fduky<\/strong>: V\u00fduka prob\u00edh\u00e1 v u\u010debn\u011b s notebooky. Mo\u017en\u00fd je i vlastn\u00ed notebook. V\u00fduka je kombinac\u00ed p\u0159edn\u00e1\u0161ky s diskus\u00ed a prac\u00ed na notebooku. Prvn\u00ed 2\/3 kurzu jsou v\u00fdpo\u010dty realizov\u00e1ny v Excelu, v posledn\u00ed 1\/3 jsou studenti(ky) sezn\u00e1meni(y) se statistick\u00fdm SW SPSS. Pro v\u011bt\u0161\u00ed p\u0159\u00ednos z p\u0159edn\u00e1\u0161ek je vhodn\u00e1 samostatn\u00e1 dom\u00e1c\u00ed p\u0159\u00edprava p\u0159i osvojov\u00e1n\u00ed v\u00fdpo\u010dt\u016f v SW. Zpravidla se uskute\u010dn\u00ed 10 setk\u00e1n\u00ed za semestr po 3 hodin\u00e1ch.<\/p>\n

Zp\u016fsob ukon\u010den\u00ed:<\/strong> Zkou\u0161ka m\u00e1 dv\u011b \u010d\u00e1sti. V prvn\u00ed \u010d\u00e1sti student(ka) prok\u00e1\u017ee dovednost samostatn\u00fdch statistick\u00fdch v\u00fdpo\u010dt\u016f a tvorby graf\u016f v SW Excel, p\u0159\u00edp. SPSS. Ve druh\u00e9 \u010d\u00e1sti prok\u00e1\u017ee porozum\u011bn\u00ed odborn\u00fdm text\u016fm, ve kter\u00fdch jsou v\u00fdsledky prezentov\u00e1ny pomoc\u00ed statistick\u00e9ho testov\u00e1n\u00ed hypot\u00e9z. Student(ka) sm\u00ed u zkou\u0161ky pou\u017e\u00edvat sv\u00e9 pozn\u00e1mky (i elektronick\u00e9) u\u010debnice i informace na internetu. B\u011bhem zkou\u0161ky nesm\u00ed s nik\u00fdm komunikovat krom\u011b zkou\u0161ej\u00edc\u00edho. \u010cas na \u0159e\u0161en\u00ed \u00fakol\u016f zadan\u00fdch u zkou\u0161ky je maxim\u00e1ln\u011b 2,5 hodiny.<\/p>\n

Doporu\u010den\u00e1 literatura:<\/strong> (3-5 kl\u00ed\u010dov\u00fdch titul\u016f): \u0160kaloudov\u00e1, A. (1998). Statistika v pedagogick\u00e9m a psychologick\u00e9m v\u00fdzkumu. Praha: Pedagogick\u00e1 fakulta Univerzity Karlovy v Praze. Hendl, J. (2004, 2009, 2012). P\u0159ehled statistick\u00fdch metod zpracov\u00e1n\u00ed dat : anal\u00fdza a metaanal\u00fdza dat. Praha : Port\u00e1l Urb\u00e1nek, T.; Denglerov\u00e1, D.; \u0160ir\u016f\u010dek, J. (2011). Psychometrika: M\u011b\u0159en\u00ed v psychologii. Praha: Port\u00e1l.<\/p>\n","protected":false},"excerpt":{"rendered":"

P\u0159edn\u00e1\u0161ej\u00edc\u00ed: PhDr. Martin Chv\u00e1l, Ph.D., kontakt: tel. 221 900 533, e-mail martin.chval@pedf.cuni.cz M\u00edsto kon\u00e1n\u00ed: u\u010debna KMDM \u201e\u010deledn\u00edk\u201c (naproti kated\u0159e) Term\u00edn kon\u00e1n\u00ed ZS 2014\/15: \u00a0aktu\u00e1ln\u00ed informace naleznete zde C\u00edle: \u00da\u010dastn\u00edci kurzu si osvoj\u00ed dovednosti po\u010d\u00edtat a graficky prezentovat z\u00e1kladn\u00ed popisn\u00e9 charakteristiky dat. Porozum\u00ed teorii testov\u00e1n\u00ed hypot\u00e9z a n\u00e1ro\u010dn\u011bj\u0161\u00edm postup\u016fm anal\u00fdzy dat na \u00farove\u0148 dovednosti komunikace se […]<\/a><\/p>\n","protected":false},"author":387,"featured_media":0,"parent":377,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-851","page","type-page","status-publish","hentry","post-seq-1","post-parity-odd","meta-position-corners","fix"],"_links":{"self":[{"href":"https:\/\/pages.pedf.cuni.cz\/uvrv\/wp-json\/wp\/v2\/pages\/851","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pages.pedf.cuni.cz\/uvrv\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/pages.pedf.cuni.cz\/uvrv\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/pages.pedf.cuni.cz\/uvrv\/wp-json\/wp\/v2\/users\/387"}],"replies":[{"embeddable":true,"href":"https:\/\/pages.pedf.cuni.cz\/uvrv\/wp-json\/wp\/v2\/comments?post=851"}],"version-history":[{"count":0,"href":"https:\/\/pages.pedf.cuni.cz\/uvrv\/wp-json\/wp\/v2\/pages\/851\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/pages.pedf.cuni.cz\/uvrv\/wp-json\/wp\/v2\/pages\/377"}],"wp:attachment":[{"href":"https:\/\/pages.pedf.cuni.cz\/uvrv\/wp-json\/wp\/v2\/media?parent=851"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}