MerQur

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MANOVA

Fields → Ziraat, Orman ve Su Ürünleri → MANOVA

🌾 Ziraat, Orman ve Su Ürünleri · MANOVA

MANOVA

Parametric · Multivariate
🆕 v1.0.5’te yeni: Bu analize Grafik sekmesi eklendi (analiz tipine göre boxplot, etkileşim, profil, çubuk, saçılım, biplot veya tahmin grafiği).

MANOVA is one of the statistical analyses automatically performed in MerQur. This page illustratively demonstrates, using a sample dataset from the field of Agriculture, Forestry and Aquaculture, how the analysis is applied, how the MerQur output appears, and how it is reported in APA 7 format.

🎯 What is it for?

MANOVA 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. Automated 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

1

Load the data. Select the sample file from the File → Open menu. MerQur automatically detects column types.

2

Select the analysis. Select MANOVA from the left sidebar.

3

Panel assignments (form fields in the program):

  • Group Column: tur
  • Dependent Variables: ['agac_id', 'boy_m', 'dbh_cm', 'biyokutle_kg']
4

Optional settings. Effect size ✓ · 95% confidence interval ✓ · Assumption checks (automatic).

5

Press the ▶ Run button. Results are automatically generated as a table + chart.

6

📄 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 using the following sample file for the Agriculture, Forestry and Aquaculture field:

MerQur_Hoca_Tanitim/Ziraat_Orman_Su/09_manova_tur_boy_dbh_biyokutle.xlsx

Topic: The application of MANOVA analysis on a real sample data set belonging to the Agriculture, Forestry and Aquaculture field.

Data Preview (First 5 Rows)

agac_idturboy_mDBH_cmbiyokutle_kg
1Pine17.5024.60159
2Pine15.0026.20148
3Pine12.9025.30181
4Pine18.4024.10195
5Pine12.2022.80186

n = 120 · Columns: agac_id, tur, boy_m, DBH_cm, biyokutle_kg

MerQur Output (Illustrative)

ANOVA TABLE (MANOVA) ───────────────────────────────────────────── Source SS df F p η²p tur 542.30 2 24.82 <.001 .312 Error 1184.50 117 POST-HOC (Tukey HSD) ───────────────────────────────────────────── Significant pairwise comparisons are reported using a/b/c grouping.

MerQur Interpretation (Plain Language)

MANOVA showed that the effect of the tur levels on biyokutle_kg is significant (p < .001, η²p = .31, medium-to-large effect). Tukey HSD post-hoc comparisons determine between which groups the significant difference lies.

APA 7 Interpretation (Academic Format · Illustrative)

According to the MANOVA results, the tur variable has a significant effect on biyokutle_kg, F(2, 117) = 24.82, p < .001, η²p = .31. The effect size is medium-to-large according to Cohen’s (1988) criteria. Tukey HSD post-hoc comparisons revealed the significant differences between groups.

⚠ 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 an end-to-end application of this analysis using the Agriculture, Forestry and Aquaculture file.

▶

The video will soon be uploaded to the MerQur YouTube channel

📺 MerQur YouTube Channel

🔀 The same analysis in other Core Fields:
🎓 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 →

References:
  1. American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.).
  2. Field, A. (2018). Discovering statistics using IBM SPSS Statistics (5th ed.). Sage.
  3. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum.