International Personality Item Pool-NEO Personality Inventory-60

2019 ◽  
Author(s):  
Jessica L. Maples-Keller ◽  
Rachel L. Williamson ◽  
Chelsea E. Sleep ◽  
Nathan T. Carter ◽  
W. Keith Campbell ◽  
...  
Keyword(s):  
Personality Inventory ◽  
Item Pool ◽  
Neo Personality Inventory ◽  
Personality Item

Effects of Incentives and the Big Five Personality Dimensions on Internet Panellists’ Ratings

2009 ◽  
Vol 51 (5) ◽  
pp. 1-16 ◽  
Author(s):  
Andrea J. Larson ◽  
Daniel A. Sachau
Keyword(s):  
Big Five ◽  
Market Research ◽  
Equity Theory ◽  
Personality Inventory ◽  
Consumer Product ◽  
Big Five Personality ◽  
Item Pool ◽  
Personality Dimensions ◽  
Personality Item ◽  
New Consumer

A total of 586 members of an online market research panel completed the International Personality Item Pool (IPIP) Big Five personality inventory and were then offered one of three incentives (lower than normal, normal and higher than normal) to evaluate a new consumer product. Consistent with predictions based on equity theory, participants who were offered lower than normal incentives rated the product less favourably than those who were offered normal incentives. Contrary to predictions, participants offered higher than normal incentives did not rate the product more favourably than those who were offered the normal incentive. Respondents scoring high on Agreeableness, Conscientiousness, Openness and Extraversion rated the product more favourably than those who scored low on these dimensions. Implications for market research are discussed.

120-Item International Personality Item Pool--Urdu Version

2019 ◽  
Author(s):  
Iftikhar Ahmed Khan ◽  
Ahmad Khan ◽  
Babar Nazir ◽  
Syed Sajid Hussain ◽  
Fiaz Khan ◽  
...  
Keyword(s):  
Item Pool ◽  
Personality Item

Development and Validation of the Faceted Inventory of the Five-Factor Model (FI-FFM)

Assessment ◽  
2017 ◽  
Vol 26 (1) ◽  
pp. 17-44 ◽  
Author(s):  
David Watson ◽  
Ericka Nus ◽  
Kevin D. Wu
Keyword(s):  
Discriminant Validity ◽  
Factor Model ◽  
Five Factor Model ◽  
Reliability And Validity ◽  
Personality Inventory ◽  
Validity Data ◽  
Neo Personality Inventory ◽  
Convergent And Discriminant Validity ◽  
Three Samples ◽  
Five Phases

The Faceted Inventory of the Five-Factor Model (FI-FFM) is a comprehensive hierarchical measure of personality. The FI-FFM was created across five phases of scale development. It includes five facets apiece for neuroticism, extraversion, and conscientiousness; four facets within agreeableness; and three facets for openness. We present reliability and validity data obtained from three samples. The FI-FFM scales are internally consistent and highly stable over 2 weeks (retest rs ranged from .64 to .82, median r = .77). They show strong convergent and discriminant validity vis-à-vis the NEO, the Big Five Inventory, and the Personality Inventory for DSM-5. Moreover, self-ratings on the scales show moderate to strong agreement with corresponding ratings made by informants ( rs ranged from .26 to .66, median r = .42). Finally, in joint analyses with the NEO Personality Inventory–3, the FI-FFM neuroticism facet scales display significant incremental validity in predicting indicators of internalizing psychopathology.

The five‐factor personality model in applied settings

1994 ◽  
Vol 8 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Itzhak Montag ◽  
Joseph Levin
Keyword(s):  
Factor Analysis ◽  
Personality Inventory ◽  
The Other ◽  
Factor Solution ◽  
Male And Female ◽  
Neo Personality Inventory ◽  
Clear Cut ◽  
Five Factors ◽  
Male Subjects ◽  
Female Subjects

Two studies of the Revised NEO‐Personality Inventory (NEO‐PI‐R) conducted on two different applicant samples (one consisting of 539 female subjects and the other consisting of 396 male subjects) are reported. Factor analysis of the female sample yielded a five‐factor solution, highly congruent with the factors presented by Costa, McCrae and Dye (1991). Results of the male data were less clear‐cut, yielding four to five factors which were moderately congruent with the American data. The combined male and female sample showed again high congruence coefficients. Various minor deviations in the location of the facet variables are discussed.

scholarly journals Modeling General, Specific, and Method Variance in Personality Measures: Results for ZKA-PQ and NEO-PI-R

Assessment ◽  
2016 ◽  
Vol 25 (8) ◽  
pp. 959-977 ◽  
Author(s):  
Francisco J. Abad ◽  
Miguel A. Sorrel ◽  
Luis Francisco Garcia ◽  
Anton Aluja
Keyword(s):  
Personality Inventory ◽  
Response Styles ◽  
General Factor ◽  
Personality Questionnaire ◽  
Neo Personality Inventory ◽  
Personality Inventories ◽  
Method Factor ◽  
Neo Personality Inventory Revised ◽  
Specific Factors ◽  
Using Data

Contemporary models of personality assume a hierarchical structure in which broader traits contain narrower traits. Individual differences in response styles also constitute a source of score variance. In this study, the bifactor model is applied to separate these sources of variance for personality subscores. The procedure is illustrated using data for two personality inventories—NEO Personality Inventory–Revised and Zuckerman–Kuhlman–Aluja Personality Questionnaire. The inclusion of the acquiescence method factor generally improved the fit to acceptable levels for the Zuckerman–Kuhlman–Aluja Personality Questionnaire, but not for the NEO Personality Inventory–Revised. This effect was higher in subscales where the number of direct and reverse items is not balanced. Loadings on the specific factors were usually smaller than the loadings on the general factor. In some cases, part of the variance was due to domains being different from the main one. This information is of particular interest to researchers as they can identify which subscale scores have more potential to increase predictive validity.

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