Related Experiment Video
Updated: Sep 13, 2025

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
Published on: September 27, 2019
Measuring Happiness Orientations: Measurement Invariance and Latent Mean Differences Across Countries, Ages, and Sex
Li Lin1, Xiaotong Li2, Junhao Pan3
1School of Graduate Studies and Department of Psychology, Lingnan University, Hong Kong, Hong Kong, China.
Abstract:
Emerging research highlights the significant role of happiness orientations (i.e., preferred and prioritized ways of pursuing happiness) in well-being and psychosocial functioning. Despite the increasing use of the Hedonic, Eudaimonic, and Extrinsic Motives for Activities (HEEMA) scale to measure happiness orientations across diverse populations, evidence is lacking regarding its measurement invariance, which leaves the validity of group comparisons in happiness orientation uncertain. Thus, we tested the measurement invariance of the HEEMA scale using data from 1,182 U.S. participants (ages 18-86) and 1,531 Chinese participants (ages 18-75). Results showed that the configural and metric invariance of the scale with four factors (i.e., pleasure, comfort, eudaimonic, and extrinsic orientations) was maintained across countries, age groups, and sex groups. Partial scalar invariance was established across countries, and full scalar invariance was established across age and sex groups. Among the invariant models, we found group differences in the levels of pleasure, comfort, eudaimonic, and extrinsic orientations. Moreover, these happiness orientations had differential associations with two criterion indicators: mental illness and proenvironmental behaviors. Our findings support the use of the HEEMA scale in U.S. and Chinese contexts and in different sex and age groups, and also demonstrate the distinction among four orientations.
More Related Videos
09:00Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
Published on: August 16, 2024
07:40Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design
Published on: May 31, 2021
Related Concept Videos
Two-Way ANOVA
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
One-Way ANOVA: Equal Sample Sizes
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
Interval Level of Measurement
Data measured using the interval scale are similar to ordinal level data because they have a definite arrangement. However, in the interval level of measurement, the differences between data values are meaningful even though the data does not have a starting point.
Temperature is measured using the interval scale. It is measurable data, and the difference between...
Measures of Intelligence
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
Central Tendency: Analysis
The mean is one such measure, calculated by totaling all values in a dataset and dividing by the number of values. For instance, the mean blood pressure reading (120, 130, 140, 150) would be 135. However, the mean can be affected by extreme values or outliers.
The median, another measure,...
Regression Toward the Mean