Research Education
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Reference Management Software (RMS): A technique on how to research and write in the absence of time and despite heavy workload
Theoben Jerdan C. Orosa, J.D., MPP, LLMNew Era University Research shows a strong likelihood that faculty members are tired, are overworked, and have no time to research and write (Salazar-Clemeña & Almonte-Acosta, 2007). In a quantitative study by Safary Wa-Mbaleka, the lack of time to write had been linked to the lack of publications by some Philippine higher education institutions (Wa-Mbaleka, 2015). A similar finding was reached with another observational… Click to Read the Full Article
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Empowering NEU Researchers Through SPSS: A Pathway to Meaningful Inquiry
At New Era University, research is a mission that empowers both students and faculty to create knowledge that serves the community and the Church. This lecture-workshop introduces SPSS (Statistical Package for the Social Sciences) as a vital tool for analyzing data and generating meaningful insights. Though originally designed for the social sciences, SPSS is now widely applied across disciplines. By mastering SPSS, NEU researchers gain the skills to transform data… Click to Read the Full Article
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NEU at 50: Strengthening Global Research Visibility through CrossRef Partnership
New Era University (NEU) has reached another milestone as it partners with CrossRef, making NEU research more visible and accessible worldwide. Through this collaboration, research articles published on the NEU Research Website are now assigned DOIs—permanent identifiers that make them easy to find, cite, and share across the global academic community. Coming right after the University’s 50th Anniversary celebration in June 2025, this step highlights NEU’s forward-looking vision: to ensure… Click to Read the Full Article
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Clarifying Commonly Confused Statistical Terms: A Guide for Researchers
Many students and professionals use statistical terms so routinely that their meanings become assumed rather than understood, which can be confusing. This article identifies several terms that, in my experience, need clarification for new researchers. Click to Read the Full Article
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Simplifying Power Analysis: A Beginner’s Guide to G*Power for One-Way ANOVA
When conducting research, it is important to have enough participants to detect meaningful differences between groups. If the sample size is too small, there is a high chance of missing real effects. If the sample size is too large, unnecessary resources are used and the study might detect trivial effects that are not practically meaningful. This is where G*Power, a free statistical software, helps researchers determine the right number of… Click to Read the Full Article
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Optimizing Sample Size in Multiple Regression Analyses: A Practical Guideline
If you’re planning a research study and need to know how many participants to include, it’s essential to perform a power analysis. This analysis helps you calculate the number of people you need to detect a meaningful effect in your study. G*Power is a free, user-friendly tool that researchers often use to do this. In this article, we’ll walk through the steps of using G*Power for multiple regression studies, where… Click to Read the Full Article
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Finding the Right Sample Size for One-Sample T-Tests: Examples and Applications
When planning a study to check if a sample’s average significantly differs from a known reference value, it’s essential to choose the right sample size. With a sample size that’s too small, there’s a risk of missing a significant difference (underpowered study). A sample that’s too large, however, can lead to wasted time and resources. Using G*Power software, researchers can calculate the ideal sample size to reliably detect meaningful differences.… Click to Read the Full Article
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How to Choose the Right Sample Size for Your Correlation Studies Using G*Power
When planning a research study, especially one that looks at the relationship between two things, it’s important to choose the right number of people to include in the study. If the sample size (number of participants) is too small, it can be hard to see if there’s actually a relationship between the two variables you’re studying. But if the sample size is too large, you might waste time and resources.… Click to Read the Full Article
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Abstract Presentations or Journal Articles: What Matters Most for Academic Accreditation?
One of the most critical elements in accreditation is the scholarly output of faculty members, which can be demonstrated through various academic activities such as attending and presenting at conferences or publishing articles in reputable journals. In this article, we’ll dissect the bearing of conference participation (especially abstract presentations) and published journal articles on the accreditation process, and how they compare in significance. Click to Read the Full Article
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Maximizing Exposure or Rehashing? The Ethics of Presenting the Same Work at Multiple Conferences
In academia, conferences are an invaluable platform for researchers and faculty to showcase their work, gather feedback, and network with peers. But a question that often arises, particularly among early-career academics, is whether it’s acceptable to present the same research abstract at multiple conferences. Is this considered “rehashing,” or is it a legitimate academic practice? Click to Read the Full Article