Condon, David
https://scholarsbank.uoregon.edu/xmlui/handle/1794/27223
2024-03-28T16:15:20ZThe Roles of Time and Change in Situations
https://scholarsbank.uoregon.edu/xmlui/handle/1794/27465
The Roles of Time and Change in Situations
Mroczek, Daniel K.; Condon, Daniel M.
Rauthmann, Sherman and Funder have made a landmark contribution to situation research in the target article of this issue. However, we propose that their work overlooks the need to incorporate a developmental perspective. This includes the separate but related issues of time and change. Situations often unfold over long periods of time, can bleed together, and are not time-delimited in the way traditional laboratory experiments define them. Moreover, individuals systematically change over time (lifespan development) and their reactions to situations, as well as their personality-situation transactions, develop in tandem.
3 pages
2015-06-24T00:00:00ZA Call for Cross-Fertilization Among Personality and Personnel Selection Researchers
https://scholarsbank.uoregon.edu/xmlui/handle/1794/27464
A Call for Cross-Fertilization Among Personality and Personnel Selection Researchers
Lezotte, Daniel V.; Condon, David M.; Mroczek, Daniel K.
Lievens (2017) makes a case for SJTs in personnel selection, a recommendation with which we agree. In particular, we like the emphasis on branching out from current methodologies and using new techniques such as SJTs not only in I/O or personnel selection research but also in basic personality research. Despite our enthusiasm, we point out some flaws, most notably lack a time dimension to SJTs.
3 pages
2017-09-01T00:00:00ZRunning head: COLLECTING LIFE NARRATIVE DATACapturing the stories of our lives: Examining the collection of life narrative data
https://scholarsbank.uoregon.edu/xmlui/handle/1794/27463
Running head: COLLECTING LIFE NARRATIVE DATACapturing the stories of our lives: Examining the collection of life narrative data
Guo, Jen; Weston, Sara J.; Condon, David M.
Objective: Do different methods for collecting life narratives – the integrated, autobiographical construction of the past and imagined future – produce similar lexical features and relationships to personality traits? The present study compares accounts from an in-person and online sample on measures of word categories, narrative themes and their relationships with Big Five traits.
Method: The first sample (N = 157, mean age = 53.7, 64% female, 55% White, and 43% Black) consisted of narratives gathered in-person and the second (N = 256, mean age = 30.6, 61% female, 70% White, 30% non-White) contained type-written responses to the same prompts from an independent online sample. Participants’ responses to the narrative prompts were coded for thematic redemption and contamination.
Results: Tests revealed significant differences between samples in 25 of 63 LIWC word categories. Online participants’ narratives also had higher odds of thematic redemption (but not contamination) above and beyond word count, type of narrative scene, participant demographics, and Big Five traits. Lastly, comparisons revealed no significant differences across the samples’ relationships between personality traits and narrative themes.
Conclusion: This research supports conditional assimilation of correlational findings from different narrative methodologies and proposes methodological considerations for future research involving life narratives.
40 pages.
2018-01-21T00:00:00ZReliability
https://scholarsbank.uoregon.edu/xmlui/handle/1794/27462
Reliability
Condon, David M.; Revelle, William
Separating signal from noise is the primary challenge of measurement and is the fundamental goal of all approaches to reliability theory. Reliability is the ability to generalize about individual differences across alternative sources of variation. Generalizations within a domain of items use internal consistency estimates. This chapter examines reliability to estimate the true score given an observed score, and to establish confidence intervals around this estimate based upon the standard error of the observed scores. The concept that observed covariances reflect true covariances is the basis for structural equation modeling, in which relationships between observed scores are expressed in terms of relationships between latent scores and the reliability of the measurement of the latent variables. Reliability estimates can be found based upon variations in the overall test, variations over time, variation over items in a test, and variability associated with who is giving the test.
38 pages
2018-02-16T00:00:00Z