Testing the latent factor structure and construct validity of the Ten-Item Personality Inventory

Ehrhart, Mark G.; Ehrhart, Karen Holcombe; Roesch, Scott C.; Chung‐Herrera, Beth G.; Nadler, K.; Bradshaw, Kelsey Michael

doi:10.1016/j.paid.2009.07.012

Cited by 208 publications

(179 citation statements)

References 24 publications

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“…Scores are averaged for each factor of the FFM, with higher scores indicating stronger affirmation of the personality dimension (high scores indicate agree strongly = 7, low scores indicate strongly disagree = 1) [25]. Reliability and validity: coefficient alpha estimates of internal reliability were 0.72 for the five dimensions (ranging from 0.62 to 0.82) [25,26]. Estimates of internal consistency in the present study returned low rates: extraversion (Cronbach's α=0.67), agreeableness (α=.16), conscientiousness (α=0.63), neuroticism (α=.43), and openness (α=0.36), reflecting the limited number of items making up the subscales.…”

Section: Methodsmentioning

confidence: 99%

“…Estimates of internal consistency in the present study returned low rates: extraversion (Cronbach's α=0.67), agreeableness (α=.16), conscientiousness (α=0.63), neuroticism (α=.43), and openness (α=0.36), reflecting the limited number of items making up the subscales. The TIPI has been validated in older adults [26], older cancer patients [27], and racially diverse samples [25].…”

Section: Methodsmentioning

confidence: 99%

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Race Differences in Personality and Affect Between Older White and Black Patients: an Exploratory Study

Krok‐Schoen

Baker

2014

J. Racial and Ethnic Health Disparities

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Objective There is limited research focusing on the five-factor model (FFM) of personality among diverse older adults, particularly cancer patient populations. This study aimed to examine the association of personality traits, positive and negative affect, and health in White and Black older adults receiving outpatient treatment for various cancer types. Design Data were collected from 150 patients (123 White and 27 Black patients), with a mean age of 65.38 years (SD=7.72). Participants were surveyed on personality traits, affect, physical and mental functioning, and demographic characteristics. Results Analyses showed no significant race differences in the FFM of personality. However, Black patients reported significantly higher positive affect than White patients. Results further indicated that higher positive affect and lower negative affect were significant predictors of higher mental functioning for White patients. Neuroticism predicted worse mental functioning (lower vitality, social functioning, emotions, and mental health) in Black patients but not for the White patients. Conclusion These findings suggest associations among identified sociocultural factors, personality, affect, and health. These characteristics may ultimately influence health outcomes and symptom management across various patient populations.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Race Differences in Personality and Affect Between Older White and Black Patients: an Exploratory Study

Krok‐Schoen

Baker

2014

J. Racial and Ethnic Health Disparities

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“…Reliabilities are somewhat lower than other, longer scales, but the five scales show satisfactory retest reliabilities (cf. Gnambs, 2014) and substantial convergent validities with longer Big Five instruments (e.g., Ehrhart et al, 2009;Gosling et al, 2003;Rojas & Widiger, 2014).…”

Section: Individual Difference Measuresmentioning

confidence: 99%

Many Labs 3: Evaluating participant pool quality across the academic semester via replication

Ebersole

Atherton

Belanger

et al. 2016

Journal of Experimental Social Psychology

354

239

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The university participant pool is a key resource for behavioral research, and data quality is believed to vary over the course of the academic semester. This crowdsourced project examined time of semester variation in 10 known effects, 10 individual differences, and 3 data quality indicators over the course of the academic semester in 20 participant pools (N = 2,696) and with an online sample (N = 737). Weak time of semester effects were observed on data quality indicators, participant sex, and a few individual differences-conscientiousness, mood, and stress. However, there was little evidence for time of semester qualifying experimental or correlational effects. The generality of this evidence is unknown because only a subset of the tested effects demonstrated evidence for the original result in the whole sample. Mean characteristics of pool samples change slightly during the semester, but these data suggest that those changes are mostly irrelevant for detecting effects. Word count = 151Keywords: social psychology; cognitive psychology; replication; participant pool; individual differences; sampling effects; situational effects 4 Many Labs 3: Evaluating participant pool quality across the academic semester via replication University participant pools provide access to participants for a great deal of published behavioral research. The typical participant pool consists of undergraduates enrolled in introductory psychology courses that require students to complete some number of experiments over the course of the academic semester. Common variations might include using other courses to recruit participants or making study participation an option for extra credit rather than a pedagogical requirement. Research-intensive universities often have a highly organized participant pool with a participant management system for signing up for studies and assigning credit. Smaller or teaching-oriented institutions often have more informal participant pools that are organized ad hoc each semester or for an individual class.To avoid selection bias based on study content, most participant pools have procedures to avoid disclosing the content or purpose of individual studies during the sign-up process.However, students are usually free to choose the time during the semester that they sign up to complete the studies. This may introduce a selection bias in which data collection on different dates occurs with different kinds of participants, or in different situational circumstances (e.g., the carefree semester beginning versus the exam-stressed semester end).If participant characteristics differ across time during the academic semester, then the results of studies may be moderated by the time at which data collection occurs. Indeed, among behavioral researchers there are widespread intuitions, superstitions, and anecdotes about the "best" time to collect data in order to minimize error and maximize power. It is common, for example, to hear stories of an effect being obtained in the first part of the semester that then "d...

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“…The study of TIPI from any researchers (Atak, 2013;Ehrhart et al, 2009;Gosling et al, 2003;Muck et al, 2007;Renau et al, 2013;Vorkapić, 2016) mostly found that the reliability coefficients of this instrument did not meet criteria for research instrument that is 0.70 (Nunnally, 1978). However, the TIPI was not designed with these criteria.…”

Section: Translation and Validation Of The Ten-item Personality Invenmentioning

confidence: 99%

Translation and validation of the Ten-Item Personality Inventory (TIPI) into Bahasa Indonesia

Akhtar¹

2018

IJRSP

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The need for the very brief measure of the Big Five personality dimensions made the Ten-Item Personality Inventory (TIPI) increasingly popular among researchers around the world. The aim of this study was to investigate the psychometric properties of the TIPI in Indonesia sample (501 participants, 68.1% of women) by testing the reliability (alpha reliability and test-retest stability) and the construct validity. The items were translated into Indonesian from the original English version. The results of the study showed that the Indonesian version of the TIPI has acceptable psychometric properties with satisfactory levels of test-retest reliability, satisfactory convergent and discriminant construct validity in the relationship with the Big Five Inventory (BFI). However, The TIPI Indonesia has a limitation related to internal structure and internal consistency which is consistent with the properties of the original scale. The TIPI Indonesia is promising scale recommended for research in such conditions: the cost and time are limited, the respondents are fatigue, personality is not the main focus of the research, or in the exploratory study.

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Testing the latent factor structure and construct validity of the Ten-Item Personality Inventory

Cited by 208 publications

References 24 publications

Race Differences in Personality and Affect Between Older White and Black Patients: an Exploratory Study

Race Differences in Personality and Affect Between Older White and Black Patients: an Exploratory Study

Many Labs 3: Evaluating participant pool quality across the academic semester via replication

Translation and validation of the Ten-Item Personality Inventory (TIPI) into Bahasa Indonesia

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