The Italian Version of the State-Trait Cheerfulness Inventory Trait Form: Psychometric Validation and Evaluation of Measurement Invariance

Lau, Chloe; Chiesi, Francesca; Hofmann, Jennifer; Ruch, Willibald; Saklofske, Donald H.

doi:10.1177/0734282919875639

Cited by 9 publications

(5 citation statements)

References 62 publications

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“…The three factors were clearly identified as the three theoretically expected factors of cheerfulness (1), seriousness (2), and bad mood (3), in line with other recent findings on the pilot version of the STCI-T <60> (see Lau et al, 2018 ). All items loaded highest on their theoretically expected factor and no important second loadings occurred, see Table 10 .…”

Section: Resultssupporting

confidence: 88%

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Assessing the Temperamental Basis of the Sense of Humor: Adaptation of the English Language Version of the State-Trait Cheerfulness Inventory Long and Standard Form

2018

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The State-Trait Model of Cheerfulness assesses the temperamental basis of the sense of humor with the traits and respective states of cheerfulness, seriousness, and bad mood. Cheerfulness is a dominant factor in current measures of the sense of humor and explains both, the disposition to engaging in smiling and laughter, as well as humor behaviors, and trait seriousness and bad mood are antagonistic to the elicitation of amusement (albeit for different reasons). Several studies have shown the validity and reliability of the STCI questionnaire in German and other language versions (i.e., Spanish). In this study, the English language version with 106 items (STCI-T <106>) was translated, checked for its item and scale characteristics, and tested with a confirmatory factor analysis approach (N = 1101) to investigate the factorial validity of the STCI-T <106> scale. Results show good psychometric characteristics, good internal consistencies, and a fit to the postulated underlying structure of the STCI-T. Then, the standard form with 60 items (STCI-T <60>) was developed and the psychometric characteristics initially tested. In an independent sample (N = 169), the characteristics of the standard form were compared to the parent form and German equivalent. It showed good psychometric characteristics, internal consistencies, as well as a good self- and peer-report congruence. To conclude, the STCI-T <106> is the measure of choice for the assessment of the temperamental basis of the sense of humor and the separate facets of the traits, while the standard form (60 items) allows of an economic assessment of cheerfulness, seriousness, and bad mood, free of context-saturated items and humor preferences.

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Section: Resultssupporting

confidence: 88%

“…For trait bad mood, the exact opposite pattern was found. For trait seriousness, a positive correlation to resilience was reported (Lau et al, 2018 ).…”

Section: Validationmentioning

confidence: 97%

Assessing the Temperamental Basis of the Sense of Humor: Adaptation of the English Language Version of the State-Trait Cheerfulness Inventory Long and Standard Form

2018

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“…State-Trait Cheerfulness Inventory—Trait Version (STCI-T60) [ 32 ], Italian version [ 43 ] is a multidimensional measure that assesses latent traits of cheerfulness, bad mood, and seriousness. Research has shown that these traits are linked with psychological well-being, positive affect, and emotion regulation.…”

Section: Methodsmentioning

confidence: 99%

Measuring Strong, Skillful, Good and Transpersonal Will: The development of the Multidimensional Will Scale

Bonacchi,

Marunic,

Tagliaferro

et al. 2024

PLoS ONE

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Background and objective This cross-sectional study aimed to provide a scale to assess different aspects of the will based on Roberto Assagioli’s theory. Methods and results The scale development followed three steps. Step 1 focused on operationalizing the construct and developing the items. It was carried out through several phases of item generation and refinement, resulting in a pool of 38 items. At Step 2 we tested the psychometric properties of the initial 38-item scale with the goal of excluding the items that weakened the structural validity and reliability of the scale. Descriptive, internal consistency, and exploratory factor analyses statistics were computed on a large sample (Sample 1: N = 587; age: M = 21.55, SD = 4.14, 66% female) and they led to a five-dimension model (Strong, Skillful, Good toward Self and Other, and Transpersonal Will) and the exclusion of 15 items. Analyses conducted at Step 3 on a different sample (Sample 2: N = 683; age: M = 34.09, SD = 16.27, 54% female) allowed for further refinement of the scale. Confirmatory factor analysis conducted on the resulting 19-item scale showed a good fit for the five-factor model (χ2 (142) = 507.63, p< .001, TLI = .91; CFI = .93; RMSEA = .06 [90%CI: .06‒.07]), and evidence of its invariance across genders and ages was provided. Reliability indices (internal consistency and intraclass correlation coefficients) were adequate (ranging from .66 to .83) and correlations with measures of related constructs supported the external validity of the scale. Conclusion This study provides researchers, therapists, and counselors with an efficient measurement tool to assess Assagioli’s construct of will.

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“…First, we used the item parceling technique. While numerous studies have defended this methodology from either a theoretical or empirical perspective (Lau, Chiesi, Hofmann, Ruch, & Saklofske, 2020; Little, Rhemtulla, Gibson, & Schoemann, 2013; Martin et al, 2010), using parcels may obscure sources of sample variance (Little et al, 2013). Future studies may explore the possibility of item-level analysis of multilevel statistics attitude data using categorical data analytical approaches.…”

Section: Limitations and Future Directionsmentioning

confidence: 99%

Measuring Statistics Attitudes at the Student and Instructor Levels: A Multilevel Construct Validity Study of the Survey of Attitudes Toward Statistics

Chao

Schau

2020

Journal of Psychoeducational Assessment

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Numerous studies have been conducted using the Survey of Attitudes Toward Statistics-36 (SATS-36). Recently, large-scale assessment studies have begun to examine the extent to which students vary in their statistics attitudes across instructors. Yet, empirical evidence linking student responses to the SATS items to instructor-level constructs is still lacking. Using multilevel confirmatory factor analysis, we investigated the factor structure underlying the measure of students’ statistics attitudes at both the student and instructor levels. Results from 13,507 college students taught by 160 introductory statistics instructors support a correlated six-factor model at each level. Additionally, there is evidence for the structural validity of a shared teacher–student attitude impacts construct that may capture meaningful patterns of teaching characteristics and competencies tied to student development of statistics attitudes. These findings provide empirical support for the use of the SATS-36 in studying contextual variables in relation to statistics instructors. Implications for educational practice are discussed.

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The Italian Version of the State-Trait Cheerfulness Inventory Trait Form: Psychometric Validation and Evaluation of Measurement Invariance

Cited by 9 publications

References 62 publications

Assessing the Temperamental Basis of the Sense of Humor: Adaptation of the English Language Version of the State-Trait Cheerfulness Inventory Long and Standard Form

Assessing the Temperamental Basis of the Sense of Humor: Adaptation of the English Language Version of the State-Trait Cheerfulness Inventory Long and Standard Form

Measuring Strong, Skillful, Good and Transpersonal Will: The development of the Multidimensional Will Scale

Measuring Statistics Attitudes at the Student and Instructor Levels: A Multilevel Construct Validity Study of the Survey of Attitudes Toward Statistics

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