Kanonik Korelasyon (CCA)
Canonical Correlation (CCA) is one of the statistical analyses automatically performed in MerQur. This page illustratively demonstrates how the analysis is applied to a sample dataset from the field of Agriculture, Forestry & Fisheries, how the MerQur output appears, and how it is reported in APA 7 format.
🎯 What is it for?
Canonical Correlation (CCA) automatically applies all necessary assumption checks (normality, homogeneity of variance, etc.) for the relevant data type in the background 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 the column types.
Select the analysis. From the left side, select Canonical Correlation (CCA).
Panel assignments (form fields in the program):
- set_x:
['agac_id', 'fotosentez', 'stomata_sayisi', 'yaprak_alani'] - set_y:
['su_potansiyeli', 'yillik_dbh_artisi', 'yillik_boy_artisi', 'yan_dal_sayisi'] - n_components:
2
Optional settings. Effect size ✓ · 95% confidence interval ✓ · Assumption checks (automatic).
Press the ▶ Run button. The 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 narration for this page was recorded using the following sample file for the Agriculture, Forestry and Aquaculture field:
MerQur_Hoca_Tanitim/Ziraat_Orman_Su/36_cca_fizyoloji_buyume.xlsx
Data Preview (First 5 Rows)
| agac_id | DBH | boy_m | yas | tac_cap | kabuk_kalın | biyokutle | yaprak_alan | klorofil | saglik_skor |
|---|---|---|---|---|---|---|---|---|---|
| 1.00 | 21.30 | 15.00 | 23.00 | 10.00 | 2.20 | 251.00 | 84.20 | 52.61 | 4.38 |
| 2.00 | 25.10 | 17.60 | 34.00 | 7.60 | 2.62 | 201.00 | 90.90 | 43.54 | 3.70 |
| 3.00 | 25.50 | 19.80 | 93.00 | 8.10 | 2.50 | 157.00 | 80.80 | 27.64 | 1.94 |
| 4.00 | 23.50 | 24.30 | 42.00 | 9.90 | 1.96 | 178.00 | 76.60 | 38.30 | 3.96 |
| 5.00 | 17.30 | 20.50 | 39.00 | 7.50 | 1.65 | 210.00 | 76.40 | 43.87 | 3.47 |
n = 150 · Sütunlar: agac_id, DBH, boy_m, yas, tac_cap, kabuk_kalın, biyokutle, yaprak_alan, klorofil, saglik_skor
MerQur Output (Illustrative)
MerQur Interpretation (Plain Language)
Canonical Correlation (CCA) revealed a statistically significant finding between the relevant variables (p < .001). Detailed results and visuals are automatically produced in MerQur’s output panel.
APA 7 Interpretation (Academic Format · Illustrative)
DBH (p < .001). The effect size is at a medium-to-large level, indicating that the findings carry practical significance. MerQur’s APA 7 Word output can be used for a detailed report.⚠ 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 following video for an end-to-end application of this analysis using 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.