{"id":34588,"date":"2024-07-11T15:29:25","date_gmt":"2024-07-11T12:29:25","guid":{"rendered":"https:\/\/www.uol.ac.cy\/?post_type=courses&p=34588"},"modified":"2024-10-07T12:40:33","modified_gmt":"2024-10-07T09:40:33","slug":"psy105-statistiki-stin-psychologia-i","status":"publish","type":"courses","link":"https:\/\/www.uol.ac.cy\/el\/courses\/psy105-statistics-in-psychology-i\/","title":{"rendered":"PSY105 - \u03a3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03c3\u03c4\u03b7\u03bd \u03a8\u03c5\u03c7\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 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Psychology"],"_c_course_main_title":["field_6447c49f617d3"],"c_course_unit_title":[""],"_c_course_unit_title":["field_6447c246335b9"],"course_unit_code":["PSY105"],"_course_unit_code":["field_63f6047058b75"],"type_of_unit":["Compulsory\u202f"],"_type_of_unit":["field_63f6047758b76"],"level_of_course_unit":["Undergraduate"],"_level_of_course_unit":["field_63f6047c58b77"],"year_of_study":["Year 1"],"_year_of_study":["field_63f6048558b78"],"semester":["Semester 2"],"_semester":["field_63f6049158b79"],"Teacher\u2019s_name":[""],"_Teacher\u2019s_name":["field_6647979a4a918"],"course_unit_objectives":["The<\/span><\/span> purpose of this<\/span><\/span> course<\/span> <\/span>is <\/span><\/span>to<\/span> give<\/span> students<\/span> a <\/span>thorough<\/span> understanding<\/span> of the <\/span>essential<\/span> statistical<\/span> ideas<\/span> and <\/span>methods<\/span> required<\/span> for <\/span>carrying<\/span> out<\/span> rigorous<\/span> research<\/span> in the <\/span>field<\/span> of <\/span>psychology<\/span>. <\/span>Students<\/span> who<\/span> complete<\/span> this<\/span> course<\/span> will<\/span> have<\/span> the <\/span>knowledge<\/span> and <\/span>abilities<\/span> needed<\/span> to<\/span> efficiently<\/span> analyze<\/span>, <\/span>interpret<\/span>, and <\/span>come<\/span> to<\/span> reliable<\/span> conclusions<\/span> from<\/span> psychological<\/span> data<\/span>. <\/span>Students<\/span> will<\/span> be<\/span> better<\/span> equipped<\/span> to<\/span> evaluate<\/span> existing<\/span> research<\/span> critically<\/span>, <\/span>create<\/span> their<\/span> own<\/span> experiments<\/span>, and <\/span>expand<\/span> our<\/span> understanding<\/span> of <\/span>psychology<\/span> by<\/span> mastering<\/span> these<\/span> statistical<\/span> methods<\/span>.<\/span><\/span>\u00a0<\/span>"],"_course_unit_objectives":["field_63f606bd0ec15"],"Course_Unit_Objectives_new":[""],"_Course_Unit_Objectives_new":["field_664c5c2365623"],"Learning_Outcomes_select":["Learning Outcomes"],"_Learning_Outcomes_select":["field_63f607e69bd76"],"c_learning_outcomes_description":["The following learning outcomes are expected, where students will:\u00a0\u00a0<\/strong>\r\n
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  1. Exhibit a firm grasp of the basic statistical principles and vocabulary that apply to psychology.<\/span>\u00a0<\/span><\/li>\r\n \t
  2. Use descriptive statistics to analyze and interpret psychological data.<\/span>\u00a0<\/span><\/li>\r\n \t
  3. Describe the fundamental ideas behind sampling and probability theory and their application in psychology.<\/span>\u00a0<\/span><\/li>\r\n \t
  4. Conduct statistical studies using statistical software and interpret results in the context of psychological research questions.<\/span>\u00a0<\/span><\/li>\r\n \t
  5. Communicate statistical findings effectively to both technical and non-technical audiences.<\/span>\u00a0<\/span><\/li>\r\n<\/ol>"],"_c_learning_outcomes_description":["field_63f607f99bd77"],"c_mode_of_delivery":["Mode of Delivery"],"_c_mode_of_delivery":["field_6447c76184617"],"Select_mode_of_delivery_language":["Face to Face"],"_Select_mode_of_delivery_language":["field_66546dc27e3f7"],"select_from_Prerequisites_language":["Prerequisites"],"_select_from_Prerequisites_language":["field_6447c76c84618"],"Prerequisites":["None"],"_Prerequisites":["field_664a8078df416"],"Course_Content":["Course Content"],"_Course_Content":["field_664892bc7a322"],"add_course_content":["S<\/span><\/span>tudents<\/span> <\/span>should <\/span>acquire<\/span> <\/span>a <\/span>thorough<\/span> understanding<\/span> of the <\/span>essential<\/span> statistical<\/span> ideas<\/span> and <\/span>methods<\/span> required<\/span> for <\/span>carrying<\/span> out<\/span> rigorous<\/span> research<\/span> in the <\/span>field<\/span> of <\/span>psychology<\/span>. <\/span>Students<\/span> who<\/span> complete<\/span> this<\/span> course<\/span> will<\/span> have<\/span> the <\/span>knowledge<\/span> and <\/span>abilities<\/span> needed<\/span> to<\/span> efficiently<\/span> analyze<\/span>, <\/span>interpret<\/span>, and <\/span>come<\/span> to<\/span> reliable<\/span> conclusions<\/span> from<\/span> psychological<\/span> data<\/span>. <\/span>Students<\/span> will<\/span> be<\/span> better<\/span> equipped<\/span> to<\/span> evaluate<\/span> existing<\/span> research<\/span> critically<\/span>, <\/span>create<\/span> their<\/span> own<\/span> experiments<\/span>, and <\/span>expand<\/span> our<\/span> understanding<\/span> of <\/span>psychology<\/span> by<\/span> mastering<\/span> these<\/span> statistical<\/span> methods<\/span>.<\/span><\/span>\u00a0<\/span>\r\n\r\nWeek 1: Introduction to Statistics in Psychology\r\n\r\nWeek 2: Descriptive Statistics\r\n\r\nWeek 3: Data Visualization\r\n\r\nWeek 4: Probability and Sampling Distributions\r\n\r\nWeek 5: Introduction to Inferential Statistics\r\n\r\nWeek 6: Confidence Intervals\r\n\r\nWeek 7: Parametric Tests\r\n\r\nWeek 8: Nonparametric Tests\r\n\r\nWeek 9: Correlation and Regression\r\n\r\nWeek 10: Ethical Considerations in Statistical Analysis\r\n\r\nWeek 11: Practical Data Analysis with Statistical Software\r\n\r\nWeek 12: Critical Evaluation of Research Studies\r\n\r\nWeek 13: Application of Statistical Techniques\r\n\r\nWeek 14: Communicating Statistical ResultsTop of Form"],"_add_course_content":["field_664a842c9b2b8"],"Features":["Course Features"],"_Features":["field_664a88b548af2"],"add_course_feautres":["Teaching methodology:<\/strong> Lecture and labs<\/span><\/span>\u00a0<\/span>\r\n\r\nAssessment:<\/strong>\r\n
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    1. Midterm & Final Exam (30% & 30%): Mid-term and final exams will be conducted covering the entire course. Both exams will include multiple-choice, short-answer, and essay questions.<\/span>\u00a0<\/span><\/li>\r\n \t
    2. Group assignment (25%), where students will work together to analyse a provided dataset and present their findings.<\/span>\u00a0<\/span><\/li>\r\n \t
    3. Individual in-class assignment (5%), where students will be asked to perform specific analyses using statistical software.<\/span>\u00a0<\/span><\/li>\r\n \t
    4. Presence and Participation (10%): Students should be present and actively participate in in-class discussions.<\/span>\u00a0<\/span><\/li>\r\n<\/ol>"],"_add_course_feautres":["field_664a89441aacf"],"c_truefalse":["0"],"_c_truefalse":["field_6447c80f84619"],"read_choice_lang":["Readings"],"_read_choice_lang":["field_664a8c0bc9898"],"c_readings":["1"],"_c_readings":["field_6447d00351788"],"feature_image_program":[""],"_feature_image_program":["field_668bbb4805cdb"],"c_readings_0_c_readings_1st_row":["Field<\/span>, A. (2018). <\/span>Discovering<\/span> Statistics<\/span> Using<\/span> IBM SPSS <\/span>Statistics<\/span>. <\/span>Sage<\/span> Publications<\/span>.<\/span><\/span>Top of Form<\/span><\/span>\u00a0<\/span>"],"_c_readings_0_c_readings_1st_row":["field_6447d03051789"],"c_readings_0_c_readings_2st_row":[""],"_c_readings_0_c_readings_2st_row":["field_6447d0425178a"],"_eael_post_view_count":["2042"],"_wp_page_template":["default"],"_seopress_redirections_type":["301"],"_seopress_redirections_logged_status":["both"],"_seopress_analysis_target_kw":[""],"site-sidebar-layout":["default"],"site-content-style":["default"],"site-sidebar-style":["default"],"number_of_ects_credits":["7.5"],"_number_of_ects_credits":["field_63f6049b58b7a"],"class_contact_hours":["36"],"_class_contact_hours":["field_63f604a358b7b"],"return_to_the_program":["Return to the program<\/a>"],"_return_to_the_program":["field_668ff14d984ef"],"astra-migrate-meta-layouts":["set"],"_uag_css_file_name":["uag-css-34588.css"],"_elementor_page_assets":["a:0:{}"],"_uag_page_assets":["a:9:{s:3:\"css\";s:263:\".uag-blocks-common-selector{z-index:var(--z-index-desktop) !important}@media (max-width: 976px){.uag-blocks-common-selector{z-index:var(--z-index-tablet) !important}}@media (max-width: 767px){.uag-blocks-common-selector{z-index:var(--z-index-mobile) !important}}\n\";s:2:\"js\";s:0:\"\";s:18:\"current_block_list\";a:1:{i:0;s:11:\"core\/search\";}s:8:\"uag_flag\";b:0;s:11:\"uag_version\";s:10:\"1775254277\";s:6:\"gfonts\";a:0:{}s:10:\"gfonts_url\";s:0:\"\";s:12:\"gfonts_files\";a:0:{}s:14:\"uag_faq_layout\";b:0;}"]},"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false,"trp-custom-language-flag":false},"uagb_author_info":{"display_name":"p.efstathiou@uol.ac.cy","author_link":"https:\/\/www.uol.ac.cy\/el\/author\/"},"uagb_comment_info":0,"uagb_excerpt":null,"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.uol.ac.cy\/el\/wp-json\/wp\/v2\/courses\/34588","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.uol.ac.cy\/el\/wp-json\/wp\/v2\/courses"}],"about":[{"href":"https:\/\/www.uol.ac.cy\/el\/wp-json\/wp\/v2\/types\/courses"}],"version-history":[{"count":0,"href":"https:\/\/www.uol.ac.cy\/el\/wp-json\/wp\/v2\/courses\/34588\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.uol.ac.cy\/el\/wp-json\/wp\/v2\/media?parent=34588"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}