Offending estimates in covariance structure analysis: Comments on the causes of and solutions to Heywood cases.

Dillon, William R.; Kumar, Ajith; Mulani, Narendra

doi:10.1037/0033-2909.101.1.126

Cited by 285 publications

(191 citation statements)

References 29 publications

Supporting

Mentioning

179

Contrasting

Unclassified

Order By: Relevance

“…Researchers have recommended sample sizes larger than 200 for greater validity of structural modeling 58,59 and argued that insufficient data is a latent cause for Heywood cases in which standardized loading is larger than one and error variance is negative. 60,61 However, both the measurement and structural models yielded no such cases, and our sample size is arguably acceptable given the experimental nature of this study, which offers the ability to isolate the attribution of observed effects solely to the variation in screen size. Second, controlling for individual differences, such as gender, age, and product knowledge, could have increased the exploratory strength of the study.…”

Section: Effects Of Screen Size On Smartphone Adoption 469mentioning

confidence: 99%

Does Screen Size Matter for Smartphones? Utilitarian and Hedonic Effects of Screen Size on Smartphone Adoption

Kim

Sundar

2014

Cyberpsychology, Behavior, and Social Networking

126

View full text Add to dashboard Cite

This study explores the psychological effects of screen size on smartphone adoption by proposing an extended Technology Acceptance Model (TAM) that integrates an empirical comparison between large and small screens with perceived control, affective quality, and the original TAM constructs. A structural equation modeling analysis was conducted on data collected from a between-subjects experiment (N = 130) in which users performed a web-based task on a smartphone with either a large (5.3 inches) or a small (3.7 inches) screen. Results show that a large screen, compared to a small screen, is likely to lead to higher smartphone adoption by simultaneously promoting both the utilitarian and hedonic qualities of smartphones, which in turn positively influence perceived ease of use of-and attitude toward-the device respectively. Implications and directions for future research are discussed.

show abstract

Section: Effects Of Screen Size On Smartphone Adoption 469mentioning

confidence: 99%

Does Screen Size Matter for Smartphones? Utilitarian and Hedonic Effects of Screen Size on Smartphone Adoption

Kim

Sundar

2014

Cyberpsychology, Behavior, and Social Networking

126

View full text Add to dashboard Cite

show abstract

“…In this model the slope variance of younger adults did not differ reliably from zero. Hence the slope variance in younger adults and the slopeintercept covariance in both age groups were fixed to zero (Dillon, Kumar, & Mulani, 1987;Ghisletta & Lindenberger, 2005). The resulting model showed acceptable fit to the data, x 2 011.59, df 09, CFI 0.98 and RMSEA 00.10 [90% CI .00 Á .24] and did not differ from the initial unrestricted model, Dx 2 01.64, df 03, p .05.…”

Section: Age Differences In Hits and Famentioning

confidence: 99%

High-confidence memory errors in old age: The roles of monitoring and binding processes

Fandakova

Shing

Lindenberger

2013

Memory

View full text Add to dashboard Cite

Based on a two-component model of episodic memory development across the lifespan, we examined the contribution of memory monitoring and binding processes to older adults' increased susceptibility to false memories with high subjective confidence. Younger and older adults worked on a modified version of the continuous recognition task (Schnider, von Daniken, & Gutbrod, 1996). Participants saw the same set of unrelated word pairs in three subsequent runs and had to identify pairs that were repeated within runs. Age group differences in the veridical recognition of repeated word pairs across the three runs were not reliable. False recognition of lure pairs increased across runs in older adults only, indicating increasing interference from previous encounters of the word pairs. Both age groups showed a decrease in false recognition of rearranged pairs across runs, but this decrease was more pronounced in younger adults. Older adults were more confident than younger adults when falsely recognising both lure and rearranged word pairs, indicating that overall memory-confidence calibration is less accurate in old age relative to early adulthood. Taken together, our results suggest that age-related decline in memory monitoring, in interaction with binding deficits, contribute to age differences in false memory for highly familiar events

show abstract

“…A Heywood case was identified (item 5: standardized loading = 1.05) when running the three-factor model. To correct for this, the loading was fixed to unity (Dillon, Kumar, & Mulani, 1987), but model fit statistics, loadings and error terms did not alter significantly indicating that the Heywood case is most likely caused by sampling fluctuations. The standardized factor loadings (McDonald & Ringo Ho, 2002) for the threefactor model are given in Table 2 (loadings for the four-factor model can be obtained from the first author).…”

Section: Confirmatory Factor Analysismentioning

confidence: 99%

The P-psychopathy continuum: Facets of Psychoticism and their associations with psychopathic tendencies

Heym

Ferguson

Lawrence

2013

Personality and Individual Differences

View full text Add to dashboard Cite

Highlights  An examination of psychopathy related facets in EPQ-R Psychoticism (P) Confirmatory Factor Analyses of the 2, 3 and 4 factor models of psychopathy in P  support the 4 factor model over 2 factor model, but 3 factor model had best fit  P-facets show predicted divergent associations with psychopathy related traits  linked to high psychopathy, impulsivity and aggression, and low empathy *Highlights (for review)The P-psychopathy continuum and facets of P 1 The P-psychopathy continuum: Facets of Psychoticism and their associations with psychopathic tendencies Abstract Eysenck proposed that psychopathy is at the extreme end of the Psychoticism (P) personality dimension (Eysenck & Eysenck, 1976). This study examined (i) whether psychopathy-relevant P items of the EPQ-R can form psychometrically valid facets that map onto the conceptualization of the two-, three-or four-factor models of psychopathy using confirmatory factor analysis (N=577) in a normal population; and (ii) whether those P-facets have criteria-related validity in associations with self-reported primary and secondary psychopathy, impulsivity (subsample N=306), and measures of trait empathy and aggression (subsample N=212). The four-factor model incorporating affective, interpersonal, impulsive, and antisocial facets of P was superior to the two-factor model; however, the three-factor conceptualization excluding the antisocial P-facet was the best fit. The facets show predicted divergent associations with primary and secondary self-reported psychopathy and trait measures. Findings are discussed in light of Eysenck's P-psychopathy continuity hypothesis and the applicability of facet approaches to the prediction of psychopathic and antisocial tendencies.

show abstract

Offending estimates in covariance structure analysis: Comments on the causes of and solutions to Heywood cases.

Cited by 285 publications

References 29 publications

Does Screen Size Matter for Smartphones? Utilitarian and Hedonic Effects of Screen Size on Smartphone Adoption

Does Screen Size Matter for Smartphones? Utilitarian and Hedonic Effects of Screen Size on Smartphone Adoption

High-confidence memory errors in old age: The roles of monitoring and binding processes

The P-psychopathy continuum: Facets of Psychoticism and their associations with psychopathic tendencies

Contact Info

Product

Resources

About