---
url: "https://questionstar.com/principles-of-survey-research/chapter-5/slide-206.html"
title: "Lambda Coefficient"
type: "lehrbuch-slide"
chapter: 5
chapterTitle: "Data Analysis: A Concise Overview of Statistical Techniques"
slide: 206
---

# Lambda Coefficient

*Indicates the extent to which knowing the value of one variable helps in predicting the other variable.*

![λ = (sum over c of maxᵣ(n_rc) − maxᵣ(n_r)) divided by (n − maxᵣ(n_r))](/principles-of-survey-research/media/formel_lambda.png)

r — row index

c — column index

Indicates the extent to which knowing the value of one variable helps in **predicting** the other variable.

Is standardized between **0 and 1** (1 — error-free prediction, 0 — no improvement in prediction).

λ values from different studies **can** be compared with one another.

In our example:

![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.**

---

*Slide 206 of 274 · Chapter 5: Data Analysis: A Concise Overview of Statistical Techniques · Principles of Survey Research · Dr. Paul Marx*