BukidStats Research

03/01/2026

https://www.facebook.com/share/1QYCrSbLQM/

25/11/2025

https://www.facebook.com/share/p/16PfCnN5T9/

The top 10 provinces accounted for 36.3 percent of the national Gross Value Added of Agriculture, forestry, and fishing.

In 2024, the Gross Value Added (GVA) of Agriculture, forestry, and fishing (AFF) in the Philippines reached PhP 1.78 trillion, indicating a 1.5 percent decline from the PhP 1.80 trillion recorded in 2023. Among the provinces and HUCs, the province of Bukidnon remained the largest contributor to the national AFF GVA, with 7.3 percent share.

Read more here: https://psa.gov.ph/statistics/ppa/node/1684081213

24/08/2025

Animals as Experimental Units: Why Effect Size and Sample Size Matter

1. Calculating optimal sample size ensures that the number of animals used is minimized, thus reducing unnecessary suffering and harm.

2. Determination of adequate sample size and effect size ensures that the study is statistically valid, thus reducing the risk of false positives or negatives.

3. Calculating sample size and effect size helps demonstrate that the research is well-designed and necessary, thus justifying the use of experimental animals.

4. Understanding effect size helps researchers interpret the practical significance of their findings, thus informing decision-making about the potential benefits and limitations of the research.

5. Calculating sample size and effect size helps researchers optimize resource use, thus reducing waste of resources.

10/07/2025

When measuring complex constructs like knowledge in food safety, environmental awareness, attitude toward animal welfare, sustainable practices, political efficacy, and anxiety, choosing the right survey instrument is crucial.

Use established, validated tools when available. If developing your own, ensure it's theory-driven, rigorously tested for validity and reliability, and pretested.

Invalid or unreliable instruments can lead to measurement errors, misleading results, inaccurate conclusions, potential harm to participants, waste of resources, and difficulty replicating or generalizing findings. Ensure accurate and meaningful results in your research!

02/07/2025

ANOVA is a widely used statistical test in experimental research. However, its validity relies on avoiding common mistakes:

1. Ignoring normality and homoscedasticity - Failing to check these assumptions can lead to inaccurate F-statistics and p-values.

2. Insufficient replication - Low replication can result in low statistical power and unreliable results.

3. Misinterpreting main effects without considering interaction effectss - Failing to analyze simple effects when interactions are present can lead to incorrect conclusions.

4. Unadjusted multiple comparisons - Not adjusting for multiple comparisons can inflate Type I error rates.

From experimental design to data analysis and interpretation, we can help you navigate these challenges and ensure the validity of your ANOVA results.

16/05/2025

Experiments in agriculture, hiology, and veterinary medicine, often generate diverse data types, including counts (number of pests, cells), binary outcomes (presence/absence of disease), proportions (disease incidence), and continuous measurements (crop yields, blood chemistry). These data often exhibit clustering (plots within fields, animals within herds) and repeated measures (multiple observations over time). Survey research can also involve clustered and correlated data.

Traditional methods like ANOVA and ordinary least squares (OLS) regression often fall short in handling these complexities, as they assume normality and independence. Data transformation can be a workaround, but it's not always effective or interpretable.

Generalized Linear Mixed Models (GLMMs) are a powerful solution! GLMMs account for clustering, repeated measures, and various data distributions. Thus, providing accurate inferences and nuanced insights without relying on transformations. By using GLMMs, researchers can drive innovation, inform decision-making, and advance knowledge in their fields.

Need help with study design or data analysis? Contact us for consultations and let us support your research journey!

30/03/2025

Dive into Your Data!

Finally, you've collected all your data! Now it's time to uncover the insights and meanings behind the numbers!

Need help making sense of your data from your survey or experiment?

Our data analysis services can assist you with:

1. Data Management: Get your data organized and structured for analysis

2. Data Analysis: Identify trends, patterns, and correlations to support your research

3. Data Visualization: Create clear and compelling visuals to present your findings

Don't stress about data analysis!

Reach out to us for support with your data analysis and take your research to the next level!

Contact us and learn more!

11/02/2025

Pre-election surveys: Can we really trust them?

We should look out for:

1. Transparent methodology (survey's methodology is clearly explained and available for public scrutiny)

2, Representative sample (sample size is sufficient and representative of the population)

3. Unbiased questions (survey questions are neutral and don't lead to biased responses)

4. Funding and sponsorship (who funded the survey and whether it may have influenced the results)

Let's be critical of pre-election surveys and not take them at face value.

Share your thoughts!

03/02/2025

The availability of software and tools makes the process of running tests and generating results easier. However, this convenience somewhat leads to a lack of attention to a necessary step in data analysis: checking assumptions. This is a vital step to ensure your results are reliable and accurate.

Let's check assumptions so as to avoid misleading conclusions, ensure accurate p-values and confidence intervals, and choose the appropriate significance test.

Take time to check your assumptions, whether it's a research study, thesis, business project, or personal data analysis.

At BukidStats Research, we ensure the accuracy and reliability of your results.

Contact us!