{"id":1113787,"date":"2026-08-16T11:55:58","date_gmt":"2026-08-16T11:55:58","guid":{"rendered":"https:\/\/www.soss-iraq.org\/?p=1113787"},"modified":"2026-08-16T11:55:58","modified_gmt":"2026-08-16T11:55:58","slug":"mastering-advanced-statistical-modeling-in-spss","status":"publish","type":"post","link":"https:\/\/www.soss-iraq.org\/en\/mastering-advanced-statistical-modeling-in-spss\/","title":{"rendered":"Mastering Advanced Statistical Modeling in SPSS"},"content":{"rendered":"\n<h3 class=\"wp-block-heading\"><strong>Overview<\/strong><\/h3>\n\n\n\n<p style=\"text-align: justify;\">Advanced statistical analysis has become increasingly important for researchers, academics, postgraduate students, and professionals who work with complex datasets and need to make evidence-based decisions.<\/p><\/p>\n\n\n\n<p style=\"text-align: justify;\">This training course focuses on a range of advanced statistical and analytical techniques, including Multiple and Logistic Regression, ANOVA-based methods, multivariate analysis, Factor and Cluster Analysis, Curve Estimation, Simulation, and Artificial Neural Networks (ANN).<\/p><p><\/p>\n\n\n\n<p style=\"text-align: justify;\">The course combines statistical concepts with practical applications and examples, enabling participants to understand not only how to perform advanced analyses, but also how to select appropriate methods, interpret results, and apply them effectively in academic research and professional data analysis.<\/p><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Objective<\/strong><\/p>\n\n\n\n<p style=\"text-align: justify;\">The main objective of this course is to strengthen participants&#8217; knowledge and practical skills in advanced statistical analysis and modeling.<\/p><\/p>\n\n\n\n<p style=\"text-align: justify;\">Participants will learn how to apply regression models, analyze differences among groups, work with multiple dependent variables and covariates, identify underlying factors and clusters within datasets, model different relationships through Curve Estimation, and gain practical exposure to Simulation and Artificial Neural Networks.<\/p><\/p>\n\n\n\n<p style=\"text-align: justify;\">By the end of the course, participants will have a stronger understanding of how to select, apply, and interpret advanced analytical techniques for research, academic studies, and professional applications.<\/p><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><strong>Training Skills Acquired (Training Course Outcomes)<\/strong><\/strong><\/p>\n\n\n\n<p style=\"text-align: justify;\">By the end of this course, participants will be able to:<\/p><\/p>\n\n\n\n<ul>\n  <li>Apply advanced regression and predictive analysis techniques.<\/li>\n  <li>Perform Multiple and Logistic Regression.<\/li>\n  <li>Conduct and interpret ANOVA, ANCOVA, MANOVA, and MANCOVA.<\/li>\n  <li>Apply Factor Analysis to identify underlying structures within data.<\/li>\n  <li>Use Cluster Analysis to classify observations into meaningful groups.<\/li>\n  <li>Apply Curve Estimation to examine different relationships between variables.<\/li>\n  <li>Understand and apply statistical Simulation techniques.<\/li>\n  <li>Gain practical knowledge of Artificial Neural Networks (ANN).<\/li>\n  <li>Interpret advanced statistical outputs accurately.<\/li>\n  <li>Select appropriate analytical methods based on research objectives and data characteristics.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><strong><strong>Main Topics Covered<\/strong><\/strong><\/strong><\/p>\n\n\n\n<p style=\"text-align: justify;\">The course will provide practical training in four major areas:<\/p><\/p>\n\n\n\n<ol>\n  <li>\n    <strong>Regression &amp; Predictive Analysis<\/strong>\n    <ul>\n      <li>Multiple Regression<\/li>\n      <li>Logistic Regression<\/li>\n      <li>Curve Estimation<\/li>\n    <\/ul>\n  <\/li>\n\n  <li>\n    <strong>Analysis of Variance &amp; Multivariate Analysis<\/strong>\n    <ul>\n      <li>ANOVA<\/li>\n      <li>ANCOVA<\/li>\n      <li>MANOVA<\/li>\n      <li>MANCOVA<\/li>\n    <\/ul>\n  <\/li>\n\n  <li>\n    <strong>Multivariate Data Analysis<\/strong>\n    <ul>\n      <li>Factor Analysis<\/li>\n      <li>Cluster Analysis<\/li>\n    <\/ul>\n  <\/li>\n\n  <li>\n    <strong>Advanced Modeling &amp; Computational Techniques<\/strong>\n    <ul>\n      <li>Simulation<\/li>\n      <li>Artificial Neural Networks (ANN)<\/li>\n    <\/ul>\n  <\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><strong><strong><strong>Audience<\/strong><\/strong><\/strong><\/strong><\/p>\n\n\n\n<p style=\"text-align: justify;\">This course is suitable for:<\/p><\/p>\n\n\n\n<ul>\n  <li>Researchers and academics who want to strengthen their advanced statistical analysis skills.<\/li>\n  <li>University and college lecturers working with research and quantitative data.<\/li>\n  <li>Master&#8217;s and PhD students preparing theses, dissertations, or research projects.<\/li>\n  <li>Data analysts and research assistants working with complex datasets.<\/li>\n  <li>Professionals involved in surveys, evaluations, research, and data-driven decision-making.<\/li>\n  <li>Staff of governmental institutions, NGOs\/INGOs, and private organizations involved in research and data analysis.<\/li>\n  <li>Participants from different academic and professional fields who already have a basic understanding of statistics.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><strong><strong><strong><strong>Place and Date of Training<\/strong><\/strong><\/strong><\/strong><\/strong><\/p>\n\n\n\n<p>\n  Start Date: September 2026<br>\n  Duration: 7 Days<br>\n  Course Format: Online<br>\n  Platform: Google Meet\n<\/p>\n\n<p>\n  Further information regarding the exact starting date and daily schedule will be announced before the course begins.\n<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><strong><strong><strong><strong><strong>How to Register<\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/p>\n\n\n\n<p>\n  To register for the course, please complete the Google Form using the link below:<br>\n  Registration Link: <a href=\"https:\/\/forms.gle\/Bz6YX4jawaUFn38Z6\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/forms.gle\/Bz6YX4jawaUFn38Z6<\/a>\n<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><strong><strong><strong><strong><strong><strong>Requirements<\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/p>\n\n\n\n<p>\n  The course is designed at an advanced level; therefore, participants are expected to have a basic to intermediate understanding of statistics and statistical data analysis.\n<\/p>\n\n<p>\n  Participants should have access to a laptop or computer to follow the practical demonstrations and complete the exercises.\n<\/p>\n\n<p>\n  Any required statistical software or additional technical requirements will be communicated to participants before the start of the course.\n<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><strong><strong><strong><strong><strong><strong><strong>Information About the Trainer<\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/p>\n\n\n\n<p style=\"text-align: justify;\">Asst. Prof. Dr. Rizgar Maghdid Ahmad is a faculty member in the Department of Statistics &amp; Informatics at Salahaddin University\u2013Erbil. Bringing over 30 years of expertise, Dr. Rizgar has led and supervised more than 1,000 statistical analyses for academic researchers, international organizations, and corporate clients. This course emphasizes hands-on practical application, clear data interpretation, and the rigorous execution of advanced analytical techniques.<\/p><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><strong><strong><strong><strong><strong><strong><strong><strong>Course Delivery<\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/p>\n\n\n\n<p style=\"text-align: justify;\">The course will be conducted fully online through Google Meet, allowing participants to attend remotely and interact directly with the trainer throughout the training.\n<\/p><\/p>\n\n<p style=\"text-align: justify;\">Practical examples, demonstrations, and datasets will be incorporated into the sessions to strengthen participants&#8217; understanding and application of the covered techniques.\n<\/p><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong>Notes<\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/p>\n\n\n\n<ul>\n  <li>Practical examples and datasets will be used throughout the course.<\/li>\n  <li>Participants will have opportunities to interact with the trainer and ask questions.<\/li>\n  <li>Course materials may be provided during the training.<\/li>\n  <li>The course emphasizes both statistical understanding and practical application.<\/li>\n  <li>Additional technical instructions will be provided before the course begins.<\/li>\n  <li>A certificate of participation may be issued upon request.<\/li>\n<\/ul>\n\n\n<p style=\"text-align: center;\"><strong>We look forward to welcoming you to the Advanced Data Analysis Training Course!<\/strong><\/p>","protected":false},"excerpt":{"rendered":"<p>Overview Advanced statistical analysis has become increasingly important for researchers, academics, postgraduate students, and professionals who work with complex datasets and need to make evidence-based decisions. This training course focuses&hellip;<\/p>\n","protected":false},"author":2,"featured_media":1113788,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_themeisle_gutenberg_block_has_review":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1113787","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/www.soss-iraq.org\/en\/wp-json\/wp\/v2\/posts\/1113787","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.soss-iraq.org\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.soss-iraq.org\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.soss-iraq.org\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.soss-iraq.org\/en\/wp-json\/wp\/v2\/comments?post=1113787"}],"version-history":[{"count":1,"href":"https:\/\/www.soss-iraq.org\/en\/wp-json\/wp\/v2\/posts\/1113787\/revisions"}],"predecessor-version":[{"id":1113789,"href":"https:\/\/www.soss-iraq.org\/en\/wp-json\/wp\/v2\/posts\/1113787\/revisions\/1113789"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.soss-iraq.org\/en\/wp-json\/wp\/v2\/media\/1113788"}],"wp:attachment":[{"href":"https:\/\/www.soss-iraq.org\/en\/wp-json\/wp\/v2\/media?parent=1113787"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.soss-iraq.org\/en\/wp-json\/wp\/v2\/categories?post=1113787"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.soss-iraq.org\/en\/wp-json\/wp\/v2\/tags?post=1113787"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}