<?xml version="1.0" encoding="UTF-8"?>
<records>
<record>
<language>eng</language>
<publisher>Science and Education Publishing</publisher>
<journalTitle>Research in Psychology and Behavioral Sciences</journalTitle>
<eissn>2333-438X</eissn>
<publicationDate>2023-12-27</publicationDate>
<volume>11</volume>
<issue>2</issue>
<startPage>49</startPage>
<endPage>55</endPage>
<doi>10.12691/rpbs-11-2-3</doi>
<publisherRecordId>RPBS20231123</publisherRecordId>
<documentType>article</documentType>
<title language="eng">Perceived Happiness and General Health: An IRT Investigation</title>
<authors>
<author>
<name>Peter D. Hart</name>
<email>pdhart@outlook.com</email>
<affiliationId>1</affiliationId>
</author>
</authors>
<affiliationsList>
<affiliationName affiliationId="1">Exercise Science, Glenville State University, Glenville, West Virginia, USA</affiliationName>

</affiliationsList>
<abstract language="eng">Background: Measuring latent outcomes such as patient satisfaction, health-related quality of life, and depression has been a common procedure in medical and epidemiological research. However, assessing the latent construct of perceived happiness has been less prevalent. Moreover, recent pilot data suggest that perceived happiness may serve as a useful outcome in epidemiological studies. Therefore, the aim of this study was to evaluate an existing measure of perceived happiness using advanced psychometric analyses. Methods: Participants in this study were N = 302 adults, 18+ years of age, who completed an electronic health and fitness survey. Happiness was assessed using the Subjective Happiness Scale (SHS). The SHS is a four-item scale with seven response categories measuring general happiness from intrinsic and relative perspectives. A graded response item-response theory (IRT) model was used to psychometrically evaluate the SHS. Additionally, a single item general health measure was used to further validate the SHS. SAS procedures including PROC IRT were applied. Results: The IRT analysis indicated that all four items fit a unidimensional construct with large item slopes (1.71 to 4.98) and varied item thresholds (-3.13 to 1.12). Factor analysis of the SHS polychoric correlation matrix retained a single factor explaining 77.8% variance. Additionally, internal consistency reliability (¦Á = 0.88) indicated a reliable SHS. Finally, SHS scores examined between known groups showed that those reporting good general health had significantly (p &lt; .001) greater perceived happiness than those reporting poor general health. Conclusion: Results from this study show that a brief four-item perceived happiness scale may have value in epidemiological research.</abstract>
<fullTextUrl format="pdf">https://pubs.sciepub.com/rpbs/11/2/3/rpbs-11-2-3.pdf</fullTextUrl>
<keywords language="eng"><keyword>happiness</keyword>
<keyword>health</keyword>
<keyword>Epidemiology</keyword>
<keyword>Surveillance</keyword>
</keywords>
</record>
</records>
