Skip to main content

Cramer’s V

 

Cramer’s V. A correlation coefficient that may be used with nominal data. It is often included with chi-square test reports.


More details about Cramer's V.

Cramér's V is a measure of association for categorical data, particularly useful when examining the strength of the relationship between two nominal variables. It provides a value between 0 (no association) and 1 (perfect association), making it an excellent follow-up measure after conducting a Chi-Square test. Here's the formula:

V = √(χ² / (n × min(k - 1, r - 1)))

Where:

  • χ² is the Chi-Square statistic.

  • n is the total number of observations.

  • k is the number of categories in one variable.

  • r is the number of categories in the other variable.

Example: Preferences for Therapy Types and Age Groups

Imagine a psychology researcher is studying whether preferences for therapy (e.g., Cognitive Behavioral Therapy (CBT), Group Therapy, Art Therapy) are associated with age groups (Youth, Adults, Elderly). The observed data is:

Age GroupCBTGroup TherapyArt TherapyTotal
Youth20151045
Adults30252075
Elderly1015530
Total605535150

Suppose the Chi-Square statistic (χ²) for this data is 10.5.

Step 1: Plug Values Into the Formula

We know:

  • χ² = 10.5 (calculated from the Chi-Square test).

  • n = 150 (total number of observations).

  • k = 3 (categories of therapy types).

  • r = 3 (categories of age groups).

  • The smaller of k - 1 and r - 1 is 2 (min(3 - 1, 3 - 1)).

Now substitute these values: V = √(χ² / (n × min(k - 1, r - 1)))  V = √(10.5 / (150 × 2))  V = √(10.5 / 300)  V = √0.035  V ≈ 0.187

Step 2: Interpret the Result

The Cramér's V value is 0.187, which indicates a weak association between therapy preferences and age groups. While there is some relationship, it is not strong based on this analysis.

Cramér's V is particularly useful because it adjusts for the number of categories, unlike the Chi-Square value alone, providing a standardized measure of association.




Creating Surveys on AMAZON    or   GOOGLE  Worldwide










Resource Links:
 

All Measures A – Z Test Index

Spirituality Measures A - Z

Statistical Concepts A - Z

See Chi Square


NOTICE:

The information about scales and measures is provided for clinicians and researchers based on professional publications. The links to authors, materials, and references can change. You may be able to locate details by contacting the main author of the original article or another author on the article list.


Post Author


Geoffrey W. Sutton PhD is Emeritus Professor of Psychology who publishes book and articles about clinical and social psychology including the psychology of religion. Website:     www.suttong.com

   

Books available on   AMAZON       and the   GOOGLE STORE

 

Connections

   FACEBOOK   Geoff W. Sutton  

  

   X  @Geoff.W.Sutton

 

   PINTEREST  www.pinterest.com/GeoffWSutton

 

Read many published articles and book samples on:

 

 

 

  ResearchGate   Geoffrey W Sutton 

  Academia   Geoff W Sutton   

 





Comments

Popular posts from this blog

Personal Self-Concept Questionnaire (PSQ)

  The Personal Self-Concept Questionnaire  ( PSQ )   Overview The Personal Self-Concept Questionnaire (PSQ) measures self-concept based on ratings of 18 items, which are grouped into four categories: Self-fulfilment, autonomy, honesty, and emotional self-concept. It is a likert-type rating scale with high internal consistency values and has been used with youth and adults. Subscales : The PSQ has four subscales 1. Self-fulfilment (6 items) 2. Autonomy (4 items) 3. Honesty (3 items) 4. Emotional self-concept (5 items)  ðŸ‘‰ [ Read more about Self-Concept and Self-Identity] The PSQ is a Likert-type scale with five response options ranging from totally disagree to totally agree. Reliability and Validity In the first study, coefficient alpha = .85 and in study two, alpha = .83. Data analysis supported a four-dimensional model (see the four categories above). Positive correlations with other self-concept measures were statistically significant. Other notes The authors e...

Mathematics Self-Efficacy and Anxiety Questionnaire (MSEAQ)

  Scale name: Mathematics Self-Efficacy and Anxiety Questionnaire (MSEAQ) Scale overview: The Mathematics Self-Efficacy and Anxiety Questionnaire (MSEAQ) is a 29-item self-report measure of both mathematics self-efficacy and mathematics anxiety. Author: Diana Kathleen May Response Type: Items are rated on a 5-point Likert-type scale following a “no response” option: 1 = Never 2 = Seldom 3 = Sometimes 4 = Often 5 = usually Sample items 1. I feel confident enough to ask questions  in my mathematics class. 6. I worry that I will not be able to get a  good grade in my mathematics course.   Subscales and basic statistics for the MSEAQ       Self-Efficacy M = 44.11, SD = 10.78, alpha = .93       Anxiety M = 46.47, SD = 12.61, alpha = .93       Total Scale M = 90.58, SD = 22.78, alpha = .96 Reliability: See the Cronbach’s alpha levels reported above. Validity: There were significant ...

Student Self-Efficacy

  Assessment name:  STUDENT SELF-EFFICACY SCALE * Note. This post has been updated to provide an available measure of student self-efficacy. ———- Scale overview:  The  student self-efficacy scale i s a 10-item measure of self-efficacy. It was developed using data from university nursing students in the United States. Authors: Melodie Rowbotham and Gerdamarie Schmitz Response Type:  A four-choice rating scale as follows: 1 = not at all true 2 = hardly true 3 = moderately true 4 = exactly true   Self-efficacy is the perception that a person can act in a way to achieve a desired goal.  Scale items There are 10 items. Examples: I am confident in my ability to learn, even if I am having a bad day. If I try hard enough, I can obtain the academic goals I desire.   Psychometric properties The authors reported that their sample scores ranged from 25 to 40 with a scale mean of 34.23 ( SD  = 3.80. Internal consistency was high at alpha = .84. The a...