Analysis

The analysis of the Altruism Scale includes the following steps:
Data collection: Participants are asked to respond to a series of statements related to altruistic acts and behaviors.
Data analysis: Statistical methods are used to analyze the responses. Factor analysis is often employed to identify the main factors that make up the concept of altruism.
Validity and reliability: The validity and reliability of the scale are examined to ensure that the results are accurate and replicable.

Purpose

The purpose of the Altruism Scale is to measure and understand the extent to which individuals are willing to act for the benefit of others without expecting reward or personal gain. Specifically, the scale aims to:
Identify altruistic behavior: Record the habits and attitudes associated with altruistic behavior.
Recognize influencing factors: Identify the factors that influence altruistic behavior, such as morality, empathy, and social values.
Facilitate research: Provide a reliable tool for researchers studying human behavior and social interactions.

Scoring

The scoring of the Altruism Scale involves the evaluation of responses to each statement using a rating system, usually ranging from “Strongly Disagree” to “Strongly Agree.” The total scores are derived as follows:
Response analysis: Responses to each statement are rated on a Likert scale, typically from 1 (Strongly Disagree) to 5 (Strongly Agree).
Total score: The sum of the scores from each statement is used to calculate each individual’s overall altruism score.
Categorization: The total scores may be categorized into different levels of altruism, such as low, moderate, and high, for better understanding and comparison among participants.
This scale may be adapted or updated based on data from different populations or cultural contexts to ensure cross-cultural validity and reliability.