scholarly journals Salzburger State Reactance Scale (SSR Scale)

2015 ◽  
Vol 223 (4) ◽  
pp. 257-266 ◽  
Author(s):  
Sandra Sittenthaler ◽  
Eva Traut-Mattausch ◽  
Christina Steindl ◽  
Eva Jonas
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Behavioral Intentions ◽  
Temporal Stability ◽  
Empirical Evaluation ◽  
The Other ◽  
Negative Attitudes ◽  
Confirmatory Factor ◽  
Positive Correlations ◽  
Three Factor

Abstract. This paper describes the construction and empirical evaluation of an instrument for measuring state reactance, the Salzburger State Reactance (SSR) Scale. The results of a confirmatory factor analysis supported a hypothesized three-factor structure: experience of reactance, aggressive behavioral intentions, and negative attitudes. Correlations with divergent and convergent measures support the validity of this structure. The SSR Subscales were strongly related to the other state reactance measures. Moreover, the SSR Subscales showed modest positive correlations with trait measures of reactance. The SSR Subscales correlated only slightly or not at all with neighboring constructs (e.g., autonomy, experience of control). The only exception was fairness scales, which showed moderate correlations with the SSR Subscales. Furthermore, a retest analysis confirmed the temporal stability of the scale. Suggestions for further validation of this questionnaire are discussed.

scholarly journals Is valuing happiness associated with lower well-being? A factor-level analysis using the valuing happiness scale

2016 ◽  
Author(s):  
Maike Luhmann ◽  
Elizabeth A. Necka ◽  
Felix D. Schönbrodt ◽  
Louise Hawkley
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Theoretical Foundation ◽  
Well Being ◽  
The Other ◽  
Factor Level ◽  
Confirmatory Factor ◽  
Positive Correlations ◽  
Using Data ◽  
Level Analysis

Recent studies suggest that valuing happiness is negatively associated with well-being. Most of these studies used the Valuing Happiness Scale (Mauss, Tamir, et al., 2011). In the present paper, we examined the factor structure of this scale using data pooled from six independent samples (Ntotal = 938). Exploratory and confirmatory factor analysis showed that the Valuing Happiness Scale is not unidimensional and that only one of its three factors correlates negatively with various indicators of well-being, whereas non-significant or positive correlations were found for the other factors. These findings indicate that valuing happiness may not necessarily be bad for one’s well-being, and call for a better definition, theoretical foundation, and operationalization of this construct.

Confirmatory Factor Analysis of the Long and Short Forms of the Worry Domains Questionnaire

2009 ◽  
Vol 25 (4) ◽  
pp. 239-243
Author(s):  
Roberto Nuevo ◽  
Andrés Losada ◽  
María Márquez-González ◽  
Cecilia Peñacoba
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Goodness Of Fit ◽  
Factorial Validity ◽  
Fit Indices ◽  
Short Forms ◽  
Confirmatory Factor ◽  
Positive Correlations ◽  
Future Work

The Worry Domains Questionnaire was proposed as a measure of both pathological and nonpathological worry, and assesses the frequency of worrying about five different domains: relationships, lack of confidence, aimless future, work, and financial. The present study analyzed the factor structure of the long and short forms of the WDQ (WDQ and WDQ-SF, respectively) through confirmatory factor analysis in a sample of 262 students (M age = 21.8; SD = 2.6; 86.3% females). While the goodness-of-fit indices did not provide support for the WDQ, good fit indices were found for the WDQ-SF. Furthermore, no source of misspecification was identified, thus, supporting the factorial validity of the WDQ-SF scale. Significant positive correlations between the WDQ-SF and its subscales with worry (PSWQ), anxiety (STAI-T), and depression (BDI) were found. The internal consistency was good for the total scale and for the subscales. This work provides support for the use of the WDQ-SF, and potential uses for research and clinical purposes are discussed.

Physiologic Model of Oropharyngeal Swallowing Revisited

2005 ◽  
Vol 133 (2) ◽  
pp. 234-240 ◽  
Author(s):  
Bonnie Martin-Harris ◽  
Yvonne Michel ◽  
Donald O. Castell
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Phase Structure ◽  
The Other ◽  
Single Factor ◽  
Factor Solution ◽  
Normal Individuals ◽  
Confirmatory Factor ◽  
Two Factors ◽  
Physiologic Model

Objective: The purposes of this investigation were to determine whether the temporal onsets of swallow events segment into oral and pharyngeal phases, to test the interdependence of temporal onsets of swallow events, and to determine the influence of age on total swallow duration. Study Design and Setting: The onsets of swallowing and respiratory measures were studied in 76 healthy normal individuals. Results: Confirmatory factor analysis revealed a 2-factor solution but did not support the hypothesized 2-phase structure (ie, oral and pharyngeal). Two of the onsets, apnea onset and apnea offset, formed a single factor that explained 12.6% of the variation among the 11 onset times. The other 9 onsets formed a second factor that explained 66.4% of the variation. Age accounted for modest variation in total swallow duration. Conclusions: The two factors, oropharyngeal and respiratory, explained 79% of the variation among the 11 onset times. Significance: This finding speaks to the overlap between the initiation of oral and pharyngeal components of swallowing in adults and highlights the artificiality of separating the swallowing continuum into isolated phases.

scholarly journals Are Negative Attitudes Toward Dreams Just the Inverse of Positive Attitudes Toward Dreams? An Empirical Investigation

2019 ◽  
Vol 40 (1) ◽  
pp. 8-19
Author(s):  
Michael Schredl ◽  
Nina Burau ◽  
Rebecca Kunkel ◽  
Julia Lanzl
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Online Survey ◽  
Empirical Investigation ◽  
Negative Attitude ◽  
Dream Recall ◽  
Negative Attitudes ◽  
Personality Dimensions ◽  
Positive Attitudes ◽  
Confirmatory Factor

As dreaming is a universal phenomenon, it seems natural that everyone has a more or less explicitly defined attitude toward dreams. Recent studies indicate that positive and negative attitude toward dream scales—even given there is considerable overlap—might not be related to the same variables. The findings of the present online survey ( N = 2,056) using 22 attitude items indicated that positive and negative attitudes can be differentiated through confirmatory factor analysis and that variables like age, education, and frequent dream recall are differentially associated with positive and negative attitudes toward dreams. It would be very interesting to expand this study to investigate whether other variables, personality dimensions, general skepticism and so on, are associated with positive and negative attitudes toward dreams in different ways.

scholarly journals Evidence of Validity of a Modern Homonegativity Measure against Gays and Lesbians

Psico-USF ◽  
2019 ◽  
Vol 24 (4) ◽  
pp. 673-684 ◽  
Author(s):  
Kaline da Silva Lima ◽  
Juliana Maria Vieira Tenório ◽  
Francisco Romário ◽  
Luã Medeiros Fernandes de Melo ◽  
Josemberg Moura de Andrade
Keyword(s):  
Factor Analysis ◽  
Item Response Theory ◽  
Confirmatory Factor Analysis ◽  
Item Response ◽  
The Other ◽  
Validity Evidence ◽  
Proposed Model ◽  
Confirmatory Factor ◽  
Parallel Forms ◽  
High Degree

Abstract The goal of this research was to adapt and obtain validity evidence of the Modern Homonegativity Scale (MHS), which is set by two parallel forms with 12 items, one of them referring to gays (MHS-G) and the other referring to lesbians (MHS-L). In the first study 418 heterosexuals between 18 and 58 years old (M = 24,9; SD = 7,23), mostly women (66,3%) living at João Pessoa-PB (50,5%) answered. Both scales have shown as unidimensional and containing a high degree of internal consistency. The second study had the participation of 273 heterosexuals between 18 and 55 years old (M = 23,7; SD = 6,33), mostly women (69%). The confirmatory factor analysis showed satisfactory adjustment indexes for the proposed model and the Item Response Theory (IRT) demonstrated a good degree of discrimination and variation of the difficulty parameters. Therefore, we may conclude MHS is psychometrically valid, easily applicable and can be used in research contexts.

scholarly journals “What do you think people feel?” Emotional climate during a pandemic: Adaptation and validation of a scale

Psicologia ◽  
2021 ◽  
Vol 35 (2) ◽  
pp. 95-108
Author(s):  
Cristina De Sousa ◽  
João Viseu ◽  
Helena Vinagre ◽  
Dario Páez ◽  
Olga Valentim
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Social Climate ◽  
The Other ◽  
Emotional Climate ◽  
The Social ◽  
Confirmatory Factor ◽  
Two Factors ◽  
Collective Resilience

Our study examined the psychometric properties and factor structure of an instrument to assess emotional climate during the COVID-19 pandemic using a sample of 601 Portuguese individuals. Two sub-samples were created, one to perform an exploratory factor analysis (EFA), composed of 300 participants, and the other to conduct a confirmatory factor analysis (CFA), composed of 301 individuals. Two factors were found: positive and negative emotional climate. In the EFA, both factors established a negative and significant correlation. However, the CFA presented a better fit with two independent factors. Reliability analysis indicated acceptable values for both dimensions. There was also evidence of discriminant, convergent, and criterion validity. More negative emotions were perceived regarding the social climate. Results were discussed in the frame of different positive and negative psychosocial variables related to positive and negative emotional climates, as well as positive emotional climate as a resource for collective resilience.

scholarly journals Confirmatory Factor Analysis of the Athlete Sleep Behavior Questionnaire

2021 ◽  
Author(s):  
Emilie N. Miley ◽  
Bethany L. Hansberger ◽  
Madeline Casanova ◽  
Russell T. Baker ◽  
Michael A. Pickering
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Collegiate Athletes ◽  
Model Fit ◽  
Sleep Behavior ◽  
Invariance Testing ◽  
Group Invariance ◽  
Confirmatory Factor ◽  
Alternate Model ◽  
Three Factor

Abstract Context: Sleep has long been understood as an essential component for overall well-being, significantly impacting physical health, cognitive functioning, mental health, and quality of life. Currently, the Athlete Sleep Behavior Questionnaire (ASBQ) is the only known instrument designed to measure sleep behaviors in the athletic population. However, the psychometric properties of the scale in a collegiate student-athlete and dance population have not been established. Objective: To assess model fit of the ASBQ using a sample of collegiate student-athletes and competitive dancers. Design: Observational study. Setting: Twelve colleges and universities. Patients or Other Participants: Student-athletes and dancers competing at the collegiate level. Main Outcome Measure(s): A confirmatory factor analysis (CFA) was conducted to assess the factor structure of the ASBQ. Principal component analysis (PCA) extraction and covariance modeling analyses were performed to identify an alternate model. Multi-group invariance testing was performed on the alternate model to identify if group differences existed between sex, athletic activity, injury status, and division of competition. Results: The CFA on the ASBQ indicated the model did not meet recommended model fit indices. An alternate three-factor, nine-item model with improved fit was identified; however, the scale structure was not consistently supported during multi-group invariance testing procedures. Conclusions: The original three factor, 18-item ASBQ was not supported for use with collegiate athletes in our study. The alternate ASBQ was substantially improved; however, more research should be completed to ensure the nine-item instrument accurately captures all dimensions of sleep behavior relevant for collegiate athletes.

scholarly journals Validation of the French translation of the Dutch Residency Educational Climate Test

2020 ◽  
Author(s):  
Anass Mohammed Majbar ◽  
Yassin Majbar ◽  
Amine Benkabbou ◽  
Laila Amrani ◽  
Abdeslam Bougtab ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Internal Consistency ◽  
Temporal Stability ◽  
French Translation ◽  
Mean Square ◽  
French Version ◽  
Confirmatory Factor ◽  
Educational Climate ◽  
Good Internal Consistency

Abstract Background The learning environment is one of the most influential factors in training of medical residents. The Dutch Residency Educational Climate Test (D-RECT) is one of the strongest instruments for measuring the learning environment. However, it has not been translated in French. The objective of this study is the psychometric validation of the DRECT French version.Material and methods After translation of the D-RECT questionnaire into French, residents of five Moroccan hospitals were invited to complete the questionnaire between July and September 2018. Confirmatory factor analysis was used to evaluate the validity of the construct using the standardized root mean square residual (SRMR), the root mean square error approximation (RMSEA), the Comparative Fit Index (CFI) and the Tucker- Lewis Index (TLI). Fidelity analysis was analysed using Internal consistency and temporal stability.Results During the study period, 211 residents completed the questionnaire. Confirmatory factor analysis showed an adequate model fit with the following indicators: SRMR = 0.058 / RMSEA = 0.07 / CFI = 0.88 / TLI = 0.87. The French translation had a good internal consistency (Cronbach alpha score > 0.7 for all subscales) and a good temporal stability (correlation score between two measurements = 0.89). Conclusion This French version has an acceptable validity of the construct, a good internal consistency and good temporal reliability, and may be used to evaluate the learning climate. Additional research is necessary in other french-speaking contexts, in order to confirm these results.

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