Friday, August 13, 2021

Forgiveness Likelihood Scale (FLS)

 


Scale name: Forgiveness Likelihood Scale (FLS)

Scales overview: A scenario-based 10-item scale. Respondents read the scenarios and decide how likely they would be to forgive the offender.

Authors: Mark S. Rye et al. 2001

Response Type: A 5-point Likert-type response rating that ranges from 1 = Not at all likely to 5 = Extremely likely.

Subscales: None

Sample items:

“One of your friends starts a nasty rumor about you that is not true. As a result, people begin treating you worse than they have in the past. What is the likelihood that you would choose to forgive your friend?”

 “Your significant other has a ‘one night stand’ and becomes sexually involved with someone else. What is the likelihood that you would choose to forgive your significant other?”

 Reliability The authors used factor analysis and report the results in their article.

Cronbach’s alpha was .85.

Test-retest reliability was .81.

Read about test reliability.

Validity: The FLS was significantly positively correlated with the following measures:

Forgiveness Scales AN and PP

Enright Forgiveness Inventory

A single item rating of forgiveness

     A t-test revealed no gender differences. (Read about t-tests.)

 Read about test validity

Availability: The scale can be found on pages 276-277 of the 2001 article in Current Psychology.

Permissions -- if identified

 Test Reference

Rye, M. S., Loiacono, D. M., Folck, C. D., Olszewski, B. T., Heim, T. A., & Madia, B. P. (2001). Evaluation of the psychometric properties of two forgiveness scales. Current Psychology: A Journal for Diverse Perspectives on Diverse Psychological Issues, 20(3), 260–277. https://doi.org/10.1007/s12144-001-1011-6

 Reference for using scales in research:

Creating Surveys on AMAZON or GOOGLE

 

Reference for clinicians on understanding assessment

Applied Statistics Concepts for Counselors on AMAZON or GOOGLE

 


 






 Resource Link for More Tests:  A – Z Test Index

 Resource Link for Statistics Terms

 Read more about the Psychology of Forgiveness

Links to Connections

Checkout My Website   www.suttong.com

  

See my Books

  AMAZON      

 

  GOOGLE STORE

 

FOLLOW me on

   FACEBOOK   Geoff W. Sutton  

  

   TWITTER  @Geoff.W.Sutton

 

   PINTEREST  www.pinterest.com/GeoffWSutton

 

Read published articles:

 

  Academia   Geoff W Sutton   

 

  ResearchGate   Geoffrey W Sutton 

 

 

 

 

Wednesday, August 11, 2021

Forgiveness Scale Rye 2001

 


Scale name: Forgiveness Scale

Scales overview This is a 15-item revision of an earlier version measuring how participants respond to wrongdoing.

Authors: Mark S. Rye et al (2001) See below.

 Response Type Likert-type 5 options ranging from 1 (Strongly disagree) to 5 (Strongly Agree)

Subscales: 2 factors reported as 

AN = absence of negative responses and 

PP = presence of positive responses toward the wrongdoer.

Sample items

“I spend time thinking about ways to get back at the person who wronged me”

“If I encountered the person who wronged me I would feel at peace.” 

Reliability

Cronbach alphas: AN =.86, PP = .85

Test retest: AN =.76, PP = .80

Validity (see validity)

Significant positive correlations with the Forgiveness Likelihood Scale, Enright Forgiveness Inventory, and a Single Item Forgiveness rating.

Availability: See the appendix in the article below (Rye et al., 2001).

Permissions -- if identified

 Scale Reference

Rye, M. S., Loiacono, D. M., Folck, C. D., Olszewski, B. T., Heim, T. A., & Madia, B. P. (2001). Evaluation of the psychometric properties of two forgiveness scales. Current Psychology: A Journal for Diverse Perspectives on Diverse Psychological Issues, 20(3), 260–277. https://doi.org/10.1007/s12144-001-1011-6

Reference for using scales in research:

Creating Surveys on AMAZON or GOOGLE

 

 

Reference for clinicians on understanding assessment

Applied Statistics Concepts for Counselors on AMAZON or GOOGLE

 


 

 





Reference List of Books about Forgiveness


Resource Link:  A – Z Test list Index

 

 Links to Connections

Checkout My Website   www.suttong.com

  

See my Books

  AMAZON      

 

  GOOGLE STORE

 

FOLLOW me on

   FACEBOOK   Geoff W. Sutton  

  

   TWITTER  @Geoff.W.Sutton

 

   PINTEREST  www.pinterest.com/GeoffWSutton

 

Read published articles:

 

  Academia   Geoff W Sutton   

 

  ResearchGate   Geoffrey W Sutton 

 

 

 

 

Sunday, August 8, 2021

Presenting Data & Different Olympic Winners Stats

 Congratulations to Team USA for an outstanding performance at Tokyo 2020 in 2021

I enjoy sports. I used to follow player stats as a boy and kept track of my own even though I wasn't much of an athlete.

The Olympic medals offer an opportunity to see how different presentations of data make a difference. You could even offer more perspectives if you consider many other countries than the top winners. 


ALL MEDALS: The USA easily wins overall. Great Britain beats Japan.

USA WINS OVERALL

GOLD:  Team USA just edges China. Japan beats Great Britain in Gold.


POPULATION:  Team GB wins among the top 4. The odds of having top athletes increase with population size. China's population is huge compared to most nations so they don't do so well. You can find countries with smaller populations who did extremely well like Australia.



There are of course other factors to consider. Perhaps you thought of some?

Wealth.

Importance of Sport.

The unique problems of COVID-19 infections of some players.

The penalty against Russia whose athletes so well.

Note: The percentage was calculated by dividing the number of medals by the population in millions and rounding.

Read more about Research and Statistics

Applied Statistics Concepts for Counselors on   AMAZON or   GOOGLE




Learn More in Creating Surveys on AMAZON or GOOGLE



Please check out my website   www.suttong.com

   and see my books on   AMAZON       or  GOOGLE STORE

Also, consider connecting with me on    FACEBOOK   Geoff W. Sutton    

   TWITTER  @Geoff.W.Sutton    

You can read many published articles at no charge:

  Academia   Geoff W Sutton     ResearchGate   Geoffrey W Sutton 



Average Intelligence

  The concept of average intelligence is sometimes difficult to appreciate because the two words, average and intelligence, are sometimes no...