Research and Report Consultancy

Why Scoping and Exploratory Research Still Needs Rigor

Why Scoping and Exploratory Research Still Needs Rigor

In academic and applied research circles, the terms scoping and exploratory often carry an unintended implication: that the work is preliminary, informal, or exempt from rigor. Thatโ€™s a dangerous myth. At Research & Report, we frequently observe a pattern: researchers use the label โ€œexploratoryโ€ to excuse vague questions, ad-hoc methods, or weak analytical structure โ€” … Read more

Time-Series Data: Why Stationarity and Co-Integration Are Not Optional

Why Stationarity and Co-Integration Are Not Optional in Time-Series Data

Time-series models are among the most powerful tools in empirical research โ€” used to forecast trends, evaluate policy impacts, and assess long-term relationships across economics, finance, climate, and public policy. But too often, researchers focus on sophisticated modeling techniques (like ARDL, VAR, or VECM) without laying the proper statistical foundation.The result? Spurious regressions, invalid inferences, … Read more

Why Using G*Power Isnโ€™t Enough to Justify Sample Size

Using G Power is not Enough to Justify Sample Size

In quantitative research, justifying sample size is a fundamental requirement. Yet, one of the most misused tools in this process is G*Power โ€” a free and powerful program that helps estimate sample sizes based on power analysis.While G*Power is valuable, itโ€™s often misapplied or overly relied upon, leading to flawed research designs, underpowered studies, and … Read more

The Crisis of Theoretical Underpinning in Qualitative Research

The Crisis of Theoretical Underpinning in Qualitative Research

Despite the growing acceptance and institutionalization of qualitative research in academia, many studies still fall into a critical trap โ€” they lack a solid theoretical foundation. While qualitative methods are celebrated for exploring complexity, meaning, and lived experience, they are increasingly being used in ways that are conceptually shallow, methodologically misaligned, and analytically weak. This … Read more

The Wrong Use of Control Variables is Killing Your Regression Model

The Wrong Use of Control Variables is Killing Your Regression Model

Regression analysis is one of the most widely used statistical tools in empirical research. Yet, beneath many published models lies a silent killer of validity: the misuse of control variables. Too often, researchers include controls reflexively โ€” without a clear understanding of their role in causal inference or model integrity. This article dives into what … Read more

Why Most Research Gaps Are Superficial

Why Most Research Gaps Are Superficial โ€” And What Researchers Need to Do Better

In todayโ€™s publish-or-perish academic environment, research gaps are a staple of literature reviews. However, many so-called “gaps” are superficial. Weakly framed gaps lead to weak contributions, making manuscripts less likely to survive peer review or gain traction in global journals. This article explains why most research gaps lack depth and how to construct meaningful, impactful … Read more

Impact Factor Obsession: Why Journal Quality is Not Just About Numbers

Impact Factor Obsession Why Journal Quality is Not Just About Numbers

๐—œ๐—บ๐—ฝ๐—ฎ๐—ฐ๐˜ ๐—™๐—ฎ๐—ฐ๐˜๐—ผ๐—ฟ ๐—ข๐—ฏ๐˜€๐—ฒ๐˜€๐˜€๐—ถ๐—ผ๐—ป: ๐—ช๐—ต๐˜† ๐—๐—ผ๐˜‚๐—ฟ๐—ป๐—ฎ๐—น ๐—ค๐˜‚๐—ฎ๐—น๐—ถ๐˜๐˜† ๐—ถ๐˜€ ๐—ก๐—ผ๐˜ ๐—๐˜‚๐˜€๐˜ ๐—”๐—ฏ๐—ผ๐˜‚๐˜ ๐—ก๐˜‚๐—บ๐—ฏ๐—ฒ๐—ฟ๐˜€ Too many researchers chase Impact Factor (IF) like itโ€™s the holy grail of academic publishing โ€” but this obsession often leads to poor strategic decisions and missed opportunities. ๐—›๐—ฒ๐—ฟ๐—ฒโ€™๐˜€ ๐˜„๐—ต๐—ฎ๐˜ ๐—บ๐—ผ๐˜€๐˜ ๐—ฟ๐—ฒ๐˜€๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต๐—ฒ๐—ฟ๐˜€ ๐—ถ๐—ด๐—ป๐—ผ๐—ฟ๐—ฒ: – Impact Factor โ‰  Article Quality โ€” a journalโ€™s prestige doesnโ€™t … Read more