---
url: "https://questionstar.com/principles-of-survey-research/chapter-5/slide-207.html"
title: "Lambda Coefficient"
type: "lehrbuch-slide"
chapter: 5
chapterTitle: "Data Analysis: A Concise Overview of Statistical Techniques"
slide: 207
---

# Lambda Coefficient

*Sum of the maximum frequencies of all columns*

Sum of the maximum frequencies of all columns

![λ — numerator: sum over c of maxᵣ(n_rc) minus maxᵣ(n_r); denominator: n − maxᵣ(n_r)](/principles-of-survey-research/media/formel_lambda_anno.png)

maximum total value of a row

r — row index

c — column index

| Internet Use | Gender | Total (row) |  |
|------|------|------|------|
| Male | Female |  |  |
| r = 1rarely | 5 | 10 | 15 |
| r = 2often | 10 | 5 | 15 |
| Total (column) | 15c = 1 | 15c = 2 | n = 30 |

![λ = ((10 + 10) − 15) divided by (30 − 15) = 0.333](/principles-of-survey-research/media/formel_lambda_bsp.png)

Knowing the gender increases prediction accuracy by a factor of **0.333** , i.e. **33.3% improvement.**

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*Slide 207 of 274 · Chapter 5: Data Analysis: A Concise Overview of Statistical Techniques · Principles of Survey Research · Dr. Paul Marx*