A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit <a rel="external noopener" href="http://pdfs.semanticscholar.org/1aae/dd125182edcbb8086d3fa7168f0f8cc5a114.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
Detecting well-being via computerized content analysis of brief diary entries
<span title="">2013</span>
<i title="American Psychological Association (APA)">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gi3cwgjo3jfpxl3gyy73ofbe7u" style="color: black;">Psychological Assessment</a>
</i>
Preserved Fulltext
Two studies evaluated the correspondence between self-reported well-being and codings of emotion and life content by the Linguistic Inquiry and Word Count (LIWC; Pennebaker, Booth, & Francis, 2011) . Open-ended diary responses were collected from 206 participants daily for 3 weeks (Study 1) and from 139 participants twice a week for 8 weeks (Study 2). LIWC negative emotion consistently correlated with self-reported negative emotion. LIWC positive emotion correlated with self-reported positive
<span class="external-identifiers">
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1037/a0033007">doi:10.1037/a0033007</a>
<a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/23730828">pmid:23730828</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kiwzweaox5brtd5djvxu6kajiy">fatcat:kiwzweaox5brtd5djvxu6kajiy</a>
</span>
more »
... otion in Study 1 but not in Study 2. No correlations were observed with global life satisfaction. Using a co-occurrence coding method to combine LIWC emotion codings with life-content codings, we estimated the frequency of positive and negative events in 6 life domains (family, friends, academics, health, leisure, and money). Domain-specific event frequencies predicted self-reported satisfaction in all domains in Study 1 but not consistently in Study 2. We suggest that the correspondence between LIWC codings and self-reported well-being is affected by the number of writing samples collected per day as well as the target period (e.g., past day vs. past week) assessed by the self-report measure. Extensions and possible implications for the analyses of similar types of open-ended data (e.g., social media messages) are discussed.
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190219074227/http://pdfs.semanticscholar.org/1aae/dd125182edcbb8086d3fa7168f0f8cc5a114.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
<div class="menu fulltext-thumbnail">
<img src="https://blobs.fatcat.wiki/thumbnail/pdf/1a/ae/1aaedd125182edcbb8086d3fa7168f0f8cc5a114.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1037/a0033007">
<button class="ui left aligned compact blue labeled icon button serp-button">
<i class="external alternate icon"></i>
Publisher / doi.org
</button>
</a>