GLMM
GLMM is one of the statistical analyses automatically performed in MerQur. This page provides a representative illustration of how the analysis is applied to a sample dataset from the field of Agriculture, Forestry and Aquaculture, how the MerQur output appears, and how it is reported in APA 7 format.
🎯 What is it for?
GLMM automatically applies in the background all the assumption checks required for the relevant data type (normality, homogeneity of variance, etc.) and presents the results with a clear table + chart. Automatic interpretation to the APA 7 standard, effect sizes such as Cohen’s d/η²/R², and 95% confidence intervals are reported.
📌 When is it used?
- In the statistical analysis of measurements belonging to the Agriculture, Forestry and Aquaculture field
- To produce APA 7 compliant result tables for academic publication
- In hypothesis testing and decision-making processes
- After selecting an appropriate method in undergraduate / master’s / doctoral theses
📐 Assumptions
- Appropriate scale — Variables must be at the scale level required by the analysis (nominal/ordinal/interval/ratio)
- Independent observations — Observations must come from mutually independent individuals
- Adequate sample — The minimum n requirement for the analysis must be met
- Outlier check — Outliers must be detected and evaluated
If the assumptions are violated, MerQur automatically steers you toward a non-parametric or robust alternative.
🛠 How to do it in MerQur
Load the data. Select the sample file from the File → Open menu. MerQur automatically detects column types.
Select the analysis. From the left sidebar, select GLMM.
Panel assignments (form fields in the program):
- Dependent Variable:
bocek_sayisi - independent_vars:
['zaman', 'yagis'] - group_var:
saha_id - family:
poisson
Optional settings. Effect size ✓ · 95% confidence interval ✓ · Assumption checks (automatic).
Press the ▶ Run button. Results are automatically produced as a table + chart.
📄 Export to Word. A report in APA 7 format with italic statistical symbols.
📊 Sample Dataset — Ziraat, Orman ve Su Ürünleri
ℹ Note: The MerQur output and interpretation tables on this page are illustrative and intended to help understand the analysis. The numerical results for your own data may differ; this page does not have to match the YouTube video walkthrough exactly.
🎬 Example File Used in the Video
The YouTube video walkthrough of this page was recorded for the Agriculture, Forestry and Aquaculture field using the sample file below:
MerQur_Hoca_Tanitim/Ziraat_Orman_Su/56_glmm_saha_panel_bocek.xlsx
Data Preview (First 5 Rows)
| saha_id | ay | ilac | bocek_sayisi |
|---|---|---|---|
| 1 | 1 | 1 | 3 |
| 1 | 2 | 1 | 2 |
| 1 | 3 | 1 | 3 |
| 1 | 4 | 1 | 5 |
| 2 | 1 | 1 | 3 |
n = 160 · Sütunlar: saha_id, ay, ilac, bocek_sayisi
MerQur Output (Illustrative)
MerQur Interpretation (Plain Language)
GLMM revealed a statistically significant finding among the relevant variables (p < .001). Detailed results and visuals are automatically produced in MerQur’s output panel.
APA 7 Interpretation (Academic Format · Illustrative)
ay (p < .001). The effect size is at a medium-large level, indicating that the findings carry practical significance. For a detailed report, MerQur’s APA 7 Word output can be used.⚠ Common Mistakes
- Specifying the data type incorrectly (e.g., loading a categorical variable as numeric)
- Skipping the assumption checks and looking directly at the p-value
- Not reporting the effect size — APA 7 requires both p and the effect size
- Not applying a Type I error correction (Bonferroni/Tukey) in multiple comparisons
- Not switching to a non-parametric alternative when n is insufficient
📹 Video Walkthrough
You can watch the video below for the end-to-end application of this analysis on the Agriculture, Forestry and Aquaculture file.
🎓 Educational Sciences · 🧪 Natural Sciences and Mathematics · 🏛 Architecture, Planning and Design · ⚙ Engineering · 🏥 Health Sciences · 📊 Social, Humanities and Administrative Sciences · 🏃 Sport Sciences
📚 If You Used This Analysis, Cite MerQur
If you performed this analysis in a scientific study using MerQur, please use the following citation (APA 7) in accordance with the academic citation requirement:
Örücü, Ö. K. (2026). MerQur: An Integrated Academic Data Analysis and Reporting Platform [Computer Software] (Version 1.0.0). https://doi.org/10.53463/merqur.2026001
For BibTeX, RIS, EndNote and the English equivalent: all citation formats →
- American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.).
- Field, A. (2018). Discovering statistics using IBM SPSS Statistics (5th ed.). Sage.
- Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum.