Reliability and Validity of the 10-Item Personality Inventory among Older Iranians

Azkhosh, Manoochehr; Sahaf, Robab; Rostami, Mohammad; Ahmadi, Alireza

doi:10.11621/pir.2019.0303

Cited by 15 publications

(12 citation statements)

References 20 publications

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“…For the TIPI, participants were asked to rate the extent to which the pair of traits applies to him/her on a 7-point Likert scale (1 = strongly disagree; 7 = strongly agree). All the TIPI trait scales showed similar internal consistency estimates to those reported in other studies (Gosling et al, 2003;Muck et al, 2007;Romero et al, 2012;Łaguna et al, 2014;Azkhosh et al, 2019): Extraversion (α = 0.68, ω = 0.69), Agreeableness (α = 0.45, ω = 0.47), Conscientiousness (α = 0.51, ω = 0.52), Emotional Stability (α = 0.71, ω = 0.71), and Openness to Experience (α = 0.46, ω = 0.47). These values are relatively low according to the rule of thumb of α = 0.70 (Nunnally, 1978, p. 245) but considered reasonably acceptable for a scale of such brevity (Gosling et al, 2003;Romero et al, 2012).…”

Section: Study Procedures and Materialssupporting

confidence: 81%

Measuring Creative Self-Efficacy: An Item Response Theory Analysis of the Creative Self-Efficacy Scale

Shaw¹,

Kapnek²,

Morelli³

2021

Front. Psychol.

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Applying the graded response model within the item response theory framework, the present study analyzes the psychometric properties of Karwowski’s creative self-efficacy (CSE) scale. With an ethnically diverse sample of US college students, the results suggested that the six items of the CSE scale were well fitted to a latent unidimensional structure. The scale also had adequate measurement precision or reliability, high levels of item discrimination, and an appropriate range of item difficulty. Gender-based differential item functioning analyses confirmed that there were no differences in the measurement results of the scale concerning gender. Additionally, openness to experience was found to be positively related to the CSE scale scores, providing some support for the scale’s convergent validity. Collectively, these results confirmed the psychometric soundness of the CSE scale for measuring CSE and also identified avenues for future research.

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Section: Study Procedures and Materialssupporting

confidence: 81%

Measuring Creative Self-Efficacy: An Item Response Theory Analysis of the Creative Self-Efficacy Scale

Shaw¹,

Kapnek²,

Morelli³

2021

Front. Psychol.

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“…Psychological variables obtained with longer measures have shown patterns of correlations with the TIPI test [36]. This has been validated in several languages [37]- [39]. Factorial analyses have also confirmed that TIPI is able to represent the underlying fivefactor [40], [41].…”

Section: The Five Factor Modelmentioning

confidence: 58%

Estimation of Personality Traits From Portrait Pictures Using the Five-Factor Model

et al. 2020

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This work presents a model based on Deep Neural Networks for the prediction of apparent personality. It can quantify personality traits with the Five-Factor model (Big Five) from a Portrait image. In order to evaluate the effectiveness of this approach, a new corpus of 30,935 portraits with their associated personality trait was extracted from an existing resource of videos (First Impressions, ChaLearn) tagged with redundant pairwise comparisons to ensure consistency. We propose several models using Convolutional Neural Networks to automatically extract features from a portrait that are indicators of personality traits; then the models classify these characteristics into a binary class for each Big Five factor: openness to experience (O), conscientiousness (C), extraversion (E), agreeableness (A), and neuroticism (N). In addition, we experiment with feature encoding and transfer learning to enrich the representation of images with additional untagged portraits (∼45,000 and ∼200M), reaching a percentage of accuracy within the state of the art (albeit not directly comparable), obtaining 65.86% as a classifier averaging the 5 factors (O=61.48%, C=69.56%, E=73.23%, A=60.68%, N=64.35%). Compared to human judgment (mean accuracy of 56.66%), the model obtained higher average performance and higher accuracy in 4 of the 5 factors of the Big Five model. In addition, in comparison with the state of the art this model shows several advantages: (1) it requires only a single portrait to make the prediction, being this a non-invasive and easily accessible resource (e.g. selfies) (2) the extraction of features from the portrait is done automatically, (3) a single model performs the extraction of characteristics and classification.

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“…In this inventory, the score of each factor is equal to the sum of the scores for items addressing a specific factor. The minimum and maximum scores of each personality factor are 0 and 48, respectively (18). In normalizing the short form of the NEO inventory by Garoosi Farshi, Mahyar, and Ghazi Tabatabaei (2001) among 2000 students from Tabriz and Shiraz universities, and universities of medical sciences in both cities, the correlation coefficient of main five dimensions was reported to be 0.56 -0.87.…”

Section: Neo Personality Inventorymentioning

confidence: 97%

“…The long-form of this inventory consists of 240 items, each of which, in the form of six eight-item subscales, separately evaluates Big five personality traits. The items are scored based on a five-point Likert scale, ranging from strongly disagree (= 0) to agree strongly (= 4) (18).…”

Section: Neo Personality Inventorymentioning

confidence: 99%

Predicting Addiction Susceptibility Based on Big Five Personality Traits

Zeighami

Hosseini

Mohammadi

et al. 2021

Iran J Psychiatry Behav Sci

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Background: Addiction is one of the most prominent problems and the fourth leading crisis worldwide. In Iran, this issue is more complicated because of increasing young population in this country. Objectives: This study aimed to predict addiction susceptibility regarding students’ personality traits at Qazvin universities. Methods: In this cross-sectional study, 227 students from Qazvin universities were selected using the multistage random stratified sampling method. Data collection tools were demographic information form, Addiction Susceptibility questionnaire (ASQ), and NEO personality inventory. After collecting the required data, SPSS software version 21 was used to analyze the data by running variance analysis and paired sample t-test. Results: In this study, neuroticism (P = 0.031) and openness (P = 0.043) with regression coefficients of 0.584 and 0.586 had positive and significant effects on addiction susceptibility, respectively. In contrast, extraversion (P = 0.023), agreeableness (P = 0.038), and consciousness (P < 0.001) with regression coefficients of -0.639, -0.186, and -1.342 had negative and significant effects on addiction susceptibility, respectively. Conclusions: The findings revealed a significant relationship between personality traits and addiction susceptibility. Accordingly, the aforementioned psychological traits must be empathized in educational, preventive, and therapeutic programs so that the vulnerable groups, including students, would receive some help.

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Reliability and Validity of the 10-Item Personality Inventory among Older Iranians

Cited by 15 publications

References 20 publications

Measuring Creative Self-Efficacy: An Item Response Theory Analysis of the Creative Self-Efficacy Scale

Measuring Creative Self-Efficacy: An Item Response Theory Analysis of the Creative Self-Efficacy Scale

Estimation of Personality Traits From Portrait Pictures Using the Five-Factor Model

Predicting Addiction Susceptibility Based on Big Five Personality Traits

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