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Cohen’s Kappa

Research Disciplines → Agriculture, Forestry & Aquatic → Cohen’s Kappa

🌾 Agriculture, Forestry & Aquatic · Cohen’s Kappa

Cohen’s Kappa

Kategorik · Uyum

Cohen’s Kappa is one of the statistical analyses applied automatically in MerQur. This page illustrates — on a Agriculture, Forestry & Aquatic sample dataset — how the analysis is run, what the MerQur output looks like, and how the result is reported in APA 7 format.

🎯 What is it for?

Cohen’s Kappa, ilgili veri türü için gerekli tüm varsayım kontrollerini (normallik, varyans homojenliği, vb.) arka planda otomatik uygular ve sonuçları açık bir tablo + grafik ile sunar. APA 7 standardında otomatik yorumlama, Cohen’s d/η²/R² gibi etki büyüklükleri ve %95 güven aralıkları raporlanır.

📌 When is it used?

  • Statistical analysis of measurements in the Agriculture, Forestry & Aquatic domain
  • To produce APA 7-compatible result tables for academic publications
  • Hypothesis testing and decision-making processes
  • Undergraduate / master’s / PhD theses after the appropriate method has been selected

📐 Assumptions

  • Appropriate scale — Variables must be at the measurement level required by the analysis (nominal/ordinal/interval/ratio)
  • Independent observations — Observations must come from individuals independent of one another
  • Sufficient sample size — The minimum n requirement for the analysis must be met
  • Outlier check — Outliers must be detected and evaluated

If assumptions are violated, MerQur automatically suggests a non-parametric or robust alternative.

🛠 How to do it in MerQur

1

Load the data. Select the sample file from File → Open. MerQur auto-detects column types.

2

Select the analysis. From the left side select Cohen’s Kappa.

3

Variable assignments.

  • Variable 1: uzman_a
  • Variable 2: uzman_b

4

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

5

▶ Run — click the button. Results are produced automatically as a table + chart.

6

📄 Export to Word. APA 7-formatted report with italic statistical symbols.

📊 Sample Dataset — Agriculture, Forestry & Aquatic

ℹ Note: The MerQur output and interpretation tables on this page are illustrative, intended to help readers understand the analysis. Numeric results from your own data may differ; this page does not need to match the YouTube video walkthrough exactly.

🎬 File Used in the Video

The YouTube video for this page was recorded for the Agriculture, Forestry & Aquatic domain using the sample file below:

25_Cohen's_Kappa / Ziraat_Orman_Muhendislik__25_kappa_uzman.xlsx

Topic: Cohen’s Kappa analysis applied to a real Agriculture, Forestry & Aquatic sample dataset.

Data Preview (First 5 Rows)

ornek_iduzman_auzman_b
1OrtaOrta
2OrtaOrta
3OrtaKötü
4OrtaOrta
5KötüOrta

n = 70 · Columns: ornek_id, uzman_a, uzman_b

MerQur Output (Illustrative)

ÇAPRAZ TABLO (uzman_a × uzman_b) ───────────────────────────────────────────── Kategori A Kategori B Toplam Düzey 1 42 (%65) 23 (%35) 65 Düzey 2 18 (%32) 37 (%68) 55 Toplam 60 60 120 Ki-Kare Testi: χ²(1) = 14.71, p < .001 Cramer’s V = 0.350 (orta-güçlü ilişki)

MerQur Narrative Interpretation

uzman_a ile uzman_b arasında anlamlı bir ilişki bulunmuştur (χ² = 14.71, p < .001). Cramer’s V = .35 değeri orta-güçlü düzeyde bir ilişkiye işaret etmektedir.

APA 7 Interpretation (Academic Format · Illustrative)

Ki-Kare bağımsızlık testi, uzman_a ve uzman_b değişkenleri arasında istatistiksel olarak anlamlı bir ilişki olduğunu göstermiştir, χ²(1, N = 120) = 14.71, p < .001, Cramer’s V = .35. Bu sonuç, iki değişkenin birbirinden bağımsız olmadığını ve orta-güçlü düzeyde ilişkili olduğunu desteklemektedir.

⚠ Common Mistakes

  • Misidentifying the data type (e.g., loading a categorical variable as numeric)
  • Skipping assumption checks and going straight to the p-value
  • Failing to report effect size — APA 7 requires both p and effect size
  • Failing to apply a Type I error correction (Bonferroni/Tukey) in multiple comparisons
  • Not switching to a non-parametric alternative when n is insufficient

📹 Video Walkthrough

Watch the video below for an end-to-end walkthrough of this analysis on a Agriculture, Forestry & Aquatic file.

▶ Cohen’s Kappa — video walkthrough

This section is part of the Kategorik Veri ve Çok Seçimli Yanıtlar video (9 analyses in one video). The link below jumps straight to 7:09, where this analysis begins. Narration is in Turkish.

▶ Watch this analysis (7:09) 📺 All videos

🔀 The same analysis in other disciplines:
🎓 Education Sciences · 🧪 Natural Sciences & Mathematics · 🏛 Architecture, Planning & Design · ⚙ Engineering · 🏥 Health Sciences · 📊 Social, Humanities & Admin Sciences · 🏃 Sport Sciences

📚 If You Used This Analysis, Cite MerQur

If you performed this analysis using MerQur in a scientific study, please use the citation below as part of your academic citation obligations (APA 7):

Örücü, Ö. K. (2026). MerQur: Integrated Academic Data Analysis & Reporting Platform [Computer software] (Version 1.0.0). https://doi.org/10.53463/merqur.2026001

For BibTeX, RIS, EndNote and the English citation form: all citation formats →

Sources:
  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.