(HIMA PDIA NEWS) Novice researchers often face confusion in determining which data aspects need to be analyzed and presented in scientific works such as undergraduate theses, dissertations, and dissertations. To address this need, HIMA PDIA held a seminar titled "Research Statistics - The Do's and Don'ts" on Wednesday, May 28, 2025. This event was held in a hybrid format, namely in person at the Mindrowo Hall, FEB, Universitas Airlangga , and online via Zoom.
The seminar featured Dr. Lilik Sugiharti, SE, M.Si., a lecturer in Economics at Airlangga University's Faculty of Economics and Business, and Muhammad Ilyas Junjunan, a PDIA student, as moderator. The main objective of this activity was to provide a deeper understanding of the correct steps and pitfalls to avoid in processing and analyzing research data.
In her presentation, Ms. Lilik emphasized the importance of compiling an introduction that not only covers the background but also clarifies the novelty of the research. novelty can include a new modeling approach, the use of different variables, innovative measurement methods, or significant differences compared to previous studies.
He also explained the relationship between the problem formulation, research objectives, and research methods, which must be consistent, from the title to the conceptual framework, hypotheses, and analytical techniques used. This is crucial for a clear and structured research direction.
One important point conveyed was the distinction between a conceptual framework and a conceptual framework. A conceptual framework is mandatory and outlines the theoretical and empirical basis that guides researchers in selecting an analytical approach. The addition of the direction of the relationship between variables (positive or negative) is also recommended, especially if previous literature has not yet provided definitive conclusions.
In the research methodology section, Ms. Lilik outlined the importance of including the approach used, data type and source, population and sample, model specifications, operational definitions of variables, and the stages of econometric analysis. She also explained that the significance level (Type I error/alpha) can vary, including 1%, 5%, and 10%.
When presenting research results, it is recommended to first present the original, untransformed data for descriptive analysis. In the discussion, researchers are encouraged to not only state whether the results align with theory but also discuss them in depth and flexibly. The relationship between descriptive data and respondent or sample characteristics should also be highlighted, and integration between results and discussion is highly desirable.
In closing, the conclusions and suggestions section should convey the contribution and value of the research results to the development of science or policy implementation.
During the discussion session, participants, both in person and online, actively asked questions about the proper use of Likert scales, converting secondary data with negative values, data distribution for pilot tests , alternative data normalization techniques, and combining primary and secondary data.
The event concluded with a group photo session between the speakers and the participants. This activity is expected to provide insight and practical tools for students and researchers in developing high-quality, valid, and contributing research.