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Kayla Jordan

Biographic Data

ID5908443
NAMEKayla Jordan
GIVEN NAMESKayla
FAMILY NAMEJordan
SIGNATUREJORDAN K
AFFILIATIONSUniversity of Waikato
ORCID0000-0001-7894-478X
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS1
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2013
LATEST PUBLICATION YEAR2026
H-INDEX1
  • People remember their past performance, and predict their future performance, more positively when learning easier ideas first

    Open Access•Jackson A Cate, Jackson Cate et al.•ARTICLE•Memory•2026

    Beginners are often overconfident when judging their performance at a new skill. Why? One possibility is beginners draw on early experiences of fluency when recalling their past - and predicting their future - performance. We addressed this possibility in two experiments comprising three phases. First, we gave people a key piece of information: that many kanji, the Japanese language characters, look like their translation. Second, everyone guesse…

  • To what extent does post-identification feedback translate into witness behaviour

    Yui Fukushima, Kayla Jordan et al.•ARTICLE•Memory•2024

    When eyewitness receive feedback implying they have accurately identified the perpetrator from a lineup, it boosts their confidence and possibly distorts their memory. Most research investigating this "post-identification feedback effect" (PIF effect) suggests the feedback changes eyewitness' retrospective memory of their actual experiences. But it remains unclear to what extent this feedback might change the eyewitness's subsequent behaviour. Ac…

  • The 2016 U.S. Presidential Candidates and How People Tweeted About Them

    Open Access•Kayla Jordan, Kayla N Jordan et al.•ARTICLE•SAGE Open•2018

    The 2016 election provided more language and polling data than any previous election. In addition, the election spurred a new level of social media coverage. The current study analyzed the language of Donald Trump and Hillary Clinton from the debates as well as the tweets of millions of people during the fall presidential campaign. In addition, aggregated polling data allowed for a comparison of daily election-relevant language from Twitter and f…

  • Blog topic and word frequency

    Cynthia Johnson, Erin M Buchanan et al.•ARTICLE•Psychology of Popular Media Culture•2014•References: 1

    Researchers and directories have difficulty classifying blogs into categories resulting from the rate at which blogs are created, as well as the overlap in content. Further, although blog popularity may be apparent in Internet traffic, the determinants of authority or status of a blog have yet to be explored. This article examined how word content affected blog status through several linguistic analyses by examining word usage across 24 high- and…

  • Evaluating Attitudes toward Clergy Restoration

    Open Access•Geoffrey W Sutton, Kayla Jordan•ARTICLE•Pastoral Psychology•2013•Cited by: 1•References: 2

  • Evaluating Attitudes toward Clergy Restoration

    Open Access•Geoffrey W Sutton, Kayla Jordan•ARTICLE•Pastoral Psychology•2013•Cited by: 1•References: 2

  • Evaluating Attitudes toward Clergy Restoration

    Open Access•Geoffrey W Sutton, Kayla Jordan•ARTICLE•Pastoral Psychology•2013•Cited by: 1•References: 2

  • Blog topic and word frequency

    Cynthia Johnson, Erin M Buchanan et al.•ARTICLE•Psychology of Popular Media Culture•2014•References: 1

    Researchers and directories have difficulty classifying blogs into categories resulting from the rate at which blogs are created, as well as the overlap in content. Further, although blog popularity may be apparent in Internet traffic, the determinants of authority or status of a blog have yet to be explored. This article examined how word content affected blog status through several linguistic analyses by examining word usage across 24 high- and…

  • The 2016 U.S. Presidential Candidates and How People Tweeted About Them

    Open Access•Kayla Jordan, Kayla N Jordan et al.•ARTICLE•SAGE Open•2018

    The 2016 election provided more language and polling data than any previous election. In addition, the election spurred a new level of social media coverage. The current study analyzed the language of Donald Trump and Hillary Clinton from the debates as well as the tweets of millions of people during the fall presidential campaign. In addition, aggregated polling data allowed for a comparison of daily election-relevant language from Twitter and f…

  • To what extent does post-identification feedback translate into witness behaviour

    Yui Fukushima, Kayla Jordan et al.•ARTICLE•Memory•2024

    When eyewitness receive feedback implying they have accurately identified the perpetrator from a lineup, it boosts their confidence and possibly distorts their memory. Most research investigating this "post-identification feedback effect" (PIF effect) suggests the feedback changes eyewitness' retrospective memory of their actual experiences. But it remains unclear to what extent this feedback might change the eyewitness's subsequent behaviour. Ac…

  • People remember their past performance, and predict their future performance, more positively when learning easier ideas first

    Open Access•Jackson A Cate, Jackson Cate et al.•ARTICLE•Memory•2026

    Beginners are often overconfident when judging their performance at a new skill. Why? One possibility is beginners draw on early experiences of fluency when recalling their past - and predicting their future - performance. We addressed this possibility in two experiments comprising three phases. First, we gave people a key piece of information: that many kanji, the Japanese language characters, look like their translation. Second, everyone guesse…

Psychology (4 works) · Computer Science (3 works) · Social Psychology (3 works) · Linguistics (2 works) · Advanced Text Analysis Techniques (1 work) · Advertising (1 work) · Clinical Psychology (1 work) · Clinical Psychology (1 work) · Cognitive Abilities and Testing (1 work) · Cognitive and developmental aspects of mathematical skills (1 work)

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