{"id":6,"date":"2020-11-05T14:50:29","date_gmt":"2020-11-05T14:50:29","guid":{"rendered":"https:\/\/dataanalysisbyopic.com.hr\/?page_id=6"},"modified":"2024-10-29T02:26:03","modified_gmt":"2024-10-29T02:26:03","slug":"home","status":"publish","type":"page","link":"https:\/\/dataanalysisbyopic.com.hr\/","title":{"rendered":"Home"},"content":{"rendered":"\n\n\n\n\nDATA
<\/span>

ANALYSIS<\/span><\/p>\n\n\n

by Opic \u00a9<\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n\n

SUPPORT FOR RESEARCH<\/strong><\/h3>
                                                      E mail:  <\/strong>dataanalysisbyopic@gmail.com<\/span><\/div>\n\n\n\n
Please ensure you avoid mistakes and feel free to review your planned quantitative methodology.<\/span>.<\/h5>


<\/p>

An inappropriate methodology cannot be improved simply through statistical techniques.<\/span><\/p>\n\n\n

Scholars define data analysis as a process that involves inspecting, cleansing, transforming, reducing, and modeling data to uncover useful information, draw conclusions, and support decision-making. This process encompasses multiple facets and approaches, utilizing a variety of techniques across different fields, including business, science, medicine, STEM, and social sciences. In today’s business environment, data analysis contributes to more scientific decision-making and helps organizations operate more effectively.<\/span><\/div>
…<\/span><\/h5>

<\/h5>
Let me clarify my goal: data analysis serves as a tool, much like a mixer for baking a cake. However, the true quality of the cake relies significantly on the ingredients and the recipe, not just the mixer. So, let\u2019s prioritize selecting the best ingredients and perfecting the recipe<\/span>. <\/span><\/span><\/h5>
Let’s head out for a mixer!<\/span>
<\/span><\/h5>

<\/p>\n\n\n

Data interpretation is the process of analyzing a collection of processed data to derive meaningful insights. This data can be presented in various forms, such as bar graphs, line charts, and tables, which all require careful interpretation to understand their significance.<\/span>
<\/span><\/h6>\n\n\n\n\n\n\n\n

\n<\/h1>

full PROFessor. sinisa opic, pH.D, tenured<\/span>
<\/h1>

UNIVERSITY OF ZAGREB<\/p>

dataanalysisbyopic@gmail.com<\/span><\/h1>\n\n\n\n\n\n\n“Science, particularly in the context of research methodology, is one of humanity’s greatest discoveries and can be seen as the most beautiful fairytale ever told”\n\n

Foreword<\/p>\n\n

Professor Sini\u0161a (Josip) Opi\u0107 is a full-time, Ph.D professor born in 1973 in Pakrac, Croatia. He is a member of the Croatian Academy of Educational Sciences and heads the Department for Pedagogy, Andragogy, Didactics, and Educational Sciences.
Apart from his primary faculty, Prof. Opi\u0107 has lectured or is currently lecturing in quantitative research methodology at several universities, including the Faculty of Science (University of Zagreb), Faculty of Humanities and Social Sciences (University of Zagreb), Faculty of Philosophy (University of Josip Juraj Strossmayer in Osijek), Police Academy, University of Mostar, University of Slavonski Brod, North University, and didactics at Academy of Fine Arts (University of Zagreb), Music Academy (University of Zagreb), and the Academy of Dramatic Arts (University of Zagreb).
He is involved in teaching undergraduate, graduate, and doctoral studies. Furthermore, he also serves as a lecturer in quantitative methodology at doctoral studies at several institutions, including the Faculty of Teacher Education (University of Zagreb), Faculty of Humanities and Social Sciences (University of Zagreb), Josip Juraj Strossmayer University in Osijek, Nord University and University of Maribor (SLO).
Prof. Opi\u0107 has had guest lecturer\/researcher\/visiting scholar roles at several international institutions, including Brock University (Canada), the Faculty of Education in Ljubljana and Maribor (Slovenia), Macquarie University (Australia), University of St. Gallen (Switzerland), University of Freiburg (Germany), University of Murcia (Spain), University of Graz (Austria), Bar-Ilan University (Israel), University of Houston (Texas, USA), Rotterdam University (Netherlands), Indiana State University (USA), and Sydney University (Australia), among others.
His primary areas of scientific interest include quantitative research methodology and social science methodology. He has supervised approximately one hundred students in their final, graduate, and doctoral theses. Prof. Opi\u0107 is involved in reviewing and serving on the editorial board of various foreign and domestic scientific journals. He has also been a reviewer for numerous scientific international conferences, textbooks, and University Development Fund projects.

From October 1, 2024 to October 1, 2025 is a visiting scholar (scientist) at the University of Sydney.
List of published works: http:\/\/bib.irb.hr\/lista-radova?autor=231642

<\/span><\/span><\/span><\/h6><\/span>\n

Full professor Sinisa Opic, PhD, tenured
<\/p>\n\n\n\n\n\n\n\n\n\n

Publish or perish!<\/h3>\n\n\n\n\n

To achieve excellence and elevate your skills even further, don\u2019t hesitate to seek guidance<\/span><\/h4>\n\n\n\n
The idea, vision, or hypothesis is the most important aspect\u2014let’s work together to bring it to life<\/span> 
<\/h5>\n\n\n\n\n\n\n\n\nHow may I help you?\n\n\n\n


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