Correction to: First look at the five-factor model personality facet associations with sensory processing sensitivity

Sensory processing sensitivity (SPS) is a common human neurobiological trait that is related to many areas of human life. This trait has recently received increased public interest. However, solid scientific research on SPS is lagging behind. Progress in this area is also hindered by a lack of comprehensive research tools suitable for a rapid assessment of SPS. Thus, the aim of this study was to offer a newly developed tool, the Sensory Processing Sensitivity Questionnaire (SPSQ), and to assess its psychometric properties and associations with emotional and relational variables measured during the first wave of the COVID-19 pandemic. We found the tool to have good psychometric characteristics: high temporal stability (r = 0.95) and excellent internal consistency (Cronbach’s α = 0.92; McDonald’s ω = 0.92). The fit of the SPSQ bi-factor model was satisfactory: χ2 (88.0) = 506.141; p < 0.001; CFI = 0.993; TLI = 0.990; RMSEA = 0.070; SRMR = 0.039. Testing of configural, metric, scalar and strict invariance suggested that the SPSQ assesses SPS equivalently between males and females. The scale’s validity was supported via a strong association with an existing SPS measure. Further, we observed higher total SPSQ scores among women, students and religious respondents, and we found that more sensitive respondents reported higher feelings of anxiety and more deterioration in relationships during the COVID-19 pandemic. Thus, this study also identifies people with this trait as being potentially more vulnerable during periods of an increased presence of global stressors.

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Personality Profile of the Self-Identified Highly Sensitive Person

Journal of Individual Differences ◽

10.1027/1614-0001/a000363 ◽

2021 ◽

Author(s):

Anne Sophie Bröhl ◽

Karla Van Leeuwen ◽

Michael Pluess ◽

Filip De Fruyt ◽

Elke Van Hoof ◽

...

Keyword(s):

Sensory Processing ◽

Factor Model ◽

Five Factor Model ◽

Detailed Examination ◽

The Self ◽

Personality Profile ◽

Rater Agreement ◽

Lay Theory ◽

Highly Sensitive ◽

Anxiety Depression

Abstract. The current paper presents a detailed examination of a lay theory perspective on the Sensory-Processing-Sensitivity (SPS) personality profile within the Five-Factor Model (FFM) of personality. The lay SPS personality profile was assessed by asking self-identified highly sensitive people to rate themselves on a Five-Factor Model questionnaire (NEO-PI-3). We applied the NEO-PI-3 norms (domains and facets) and examined the inter-rater agreement of the facets. The sample consisted of 560 (female: 86.43%, Mage = 37.36 years, SDage = 6.64 years, 18.17–47.42 years) self-identified highly sensitive adults. Six facets, in particular, stood out with good and very good inter-rater agreement: participants fell within the highest 23% of the population on facets Fantasy, Aesthetics, Feelings (Openness to Experience); Anxiety, Depression (Neuroticism); and the lowest 23% of the population on the facet Gregariousness (Extraversion).

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Social Desirability in Personality Inventories

Journal of Individual Differences ◽

10.1027/1614-0001/a000138 ◽

2014 ◽

Vol 35 (3) ◽

pp. 144-157 ◽

Cited By ~ 12

Author(s):

Martin Bäckström ◽

Fredrik Björklund

Keyword(s):

Social Desirability ◽

Big Five ◽

Work Performance ◽

Factor Model ◽

Five Factor Model ◽

Peer Ratings ◽

Personality Inventories ◽

Model Study ◽

The Difference ◽

New Variables

The difference between evaluatively loaded and evaluatively neutralized five-factor inventory items was used to create new variables, one for each factor in the five-factor model. Study 1 showed that these variables can be represented in terms of a general evaluative factor which is related to social desirability measures and indicated that the factor may equally well be represented as separate from the Big Five as superordinate to them. Study 2 revealed an evaluative factor in self-ratings and peer ratings of the Big Five, but the evaluative factor in self-reports did not correlate with such a factor in ratings by peers. In Study 3 the evaluative factor contributed above the Big Five in predicting work performance, indicating a substance component. The results are discussed in relation to measurement issues and self-serving biases.

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Construction and Validation of a Short Adjectives Checklist to Measure Big Five (SACBIF)

European Journal of Psychological Assessment ◽

10.1027/1015-5759.12.1.33 ◽

1996 ◽

Vol 12 (1) ◽

pp. 33-42 ◽

Cited By ~ 12

Author(s):

Marco Perugini ◽

Luigi Leone

Keyword(s):

Construct Validity ◽

Psychometric Properties ◽

Big Five ◽

Factor Model ◽

Five Factor Model ◽

Selection Procedure ◽

Factorial Structure ◽

Personality Dimensions

The aim of this contribution is to present a new short adjective-based measure of the Five Factor Model (FFM) of personality, the Short Adjectives Checklist of BIg Five (SACBIF). We present the various steps of the construction and the validation of this instrument. First, 50 adjectives were selected with a selection procedure, the “Lining Up Technique” (LUT), specifically used to identify the best factorial markers of the FFM. Then, the factorial structure and the psychometric properties of the SACBIF were investigated. Finally, the SACBIF factorial structure was correlated with some main measures of the FFM to establish its construct validity and with some other personality dimensions to investigate how well these dimensions could be represented in the SACBIF factorial space.

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Factorial Invariance of Child Self-Report Across English and Spanish Language Groups in a Hispanic Population Utilizing the PedsQL™ 4.0 Generic Core Scales

European Journal of Psychological Assessment ◽

10.1027/1015-5759/a000026 ◽

2010 ◽

Vol 26 (3) ◽

pp. 194-202 ◽

Cited By ~ 11

Author(s):

Daniel A. Newman ◽

Christine A. Limbers ◽

James W. Varni

Keyword(s):

Health Care Services ◽

Factor Model ◽

Five Factor Model ◽

Well Being ◽

Factorial Invariance ◽

Spanish Language ◽

Self Report ◽

Hispanic Population ◽

Language Groups ◽

Related Quality

The measurement of health-related quality of life (HRQOL) in children has witnessed significant international growth over the past decade in an effort to improve pediatric health and well-being, and to determine the value of health-care services. In order to compare international HRQOL research findings across language groups, it is important to demonstrate factorial invariance, i.e., that the items have an equivalent meaning across the language groups studied. This study examined the factorial invariance of child self-reported HRQOL across English- and Spanish-language groups in a Hispanic population of 2,899 children ages 8–18 utilizing the 23-item PedsQL™ 4.0 Generic Core Scales. Multigroup confirmatory factor analysis (CFA) was performed specifying a five-factor model across language groups. The findings support an equivalent 5-factor structure across English- and Spanish-language groups. Based on these data, it can be concluded that children across the two languages studied interpreted the instrument in a similar manner. The multigroup CFA statistical methods utilized in the present study have important implications for cross-cultural assessment research in children in which different language groups are compared.

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