Attitudes toward younger and older adults: The German Aging Semantic Differential

2010 ◽  
Vol 34 (2) ◽  
pp. 147-158 ◽  
Author(s):  
Sebastian Gluth ◽  
Natalie C. Ebner ◽  
Florian Schmiedek
Keyword(s):  
Older Adults ◽  
Structural Equation ◽  
Semantic Differential ◽  
Personality Characteristics ◽  
Equation Modeling ◽  
Factor Solution ◽  
Negative Attitudes ◽  
Younger Adults ◽  
Multiple Group ◽  
Confirmatory Factor

The present study used the German Aging Semantic Differential (ASD) to assess attitudes toward younger and older adults in a heterogeneous sample of n = 151 younger and n = 143 older adults. The questionnaire was administered in two versions, one referring to the evaluation of younger adults, the other to the evaluation of older adults. Multiple-group confirmatory factor analysis replicated the four-factor solution reported in the literature. Younger compared to older adults were rated as higher in terms of instrumentality (i.e., more active, adaptive to change) and integrity (i.e., more personally satisfied, at peace with oneself), whereas older adults were described as more autonomous and self-sufficient than younger adults. Younger participants reported more negative attitudes toward younger and older adults in some of the factors than did older participants. Structural equation modeling furthermore showed that attitudes correlated with personality characteristics and positive and negative affect, in that more agreeable, extraverted, and positively tempered participants reported less negative attitudes toward younger and older adults. Results are discussed in the context of multidimensional assessment of age stereotypes.

scholarly journals Patterns of Bureaucracy in Intercollegiate Athletic Departments

2013 ◽  
Vol 27 (2) ◽  
pp. 114-129 ◽  
Author(s):  
Claudio M. Rocha ◽  
Packianathan Chelladurai
Keyword(s):  
Structural Equation ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Academic Values ◽  
Athletic Departments ◽  
Intercollegiate Athletic ◽  
Multiple Group ◽  
Structural Relationships ◽  
Confirmatory Factor ◽  
Intercollegiate Athletic Departments

The objective of the current research was to verify the extent to which Gouldner’s (1954) three patterns of bureaucracy were prevalent in intercollegiate athletic departments. Single and multiple-group confirmatory factor analysis (CFA) and structural equation modeling (SEM) of the data provided by 907 coaches from all three NCAA divisions (ndivI= 322; ndivII= 277; ndivIII= 308) showed that structural relationships among goals, processes, and patterns of bureaucracy were invariant among all three groups of coaches. Substantively, the factor of developmental goals through developmental processes (Trail & Chelladurai, 2000) predicted positively the presence ofrepresentative bureaucracyandpunishment-centered bureaucracyand negatively the existence ofmock bureaucracy. This means that the more athletic departments emphasize academic values, the less the coaches perceive a pattern of loose coupling between rules and actual technical activities. Implications of these results for theory and practice were discussed.

The Psychobiosocial States (PBS-S) Scale

2019 ◽  
Vol 35 (5) ◽  
pp. 658-665 ◽  
Author(s):  
Montse C. Ruiz ◽  
Claudio Robazza ◽  
Asko Tolvanen ◽  
Juri Hanin
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Structural Equation ◽  
Equation Modeling ◽  
Core State ◽  
Practice Session ◽  
Factor Solution ◽  
Feeling States ◽  
Confirmatory Factor ◽  
Perceived Impact

Abstract. This study examined the factor structure and reliability of the Psychobiosocial States (PBS-S) scale in the assessment of situational performance-related experiences. We administered the scale to 483 Finnish athletes before a practice session to assess the intensity and perceived impact of their performance-related feeling states. The hypothesized two-factor structure indicating functional effects (10 items) and dysfunctional effects (10 items) toward performance was examined via exploratory structural equation modeling (ESEM) and confirmatory factor analysis (CFA). Regarding the intensity and perceived impact dimensions of reported states, ESEM and CFA showed a good fit for a two-factor solution of a 14-item PBS-S scale (seven functional and seven dysfunctional items). For both intensity and impact ratings, core state functional modalities were bodily, cognitive, and volitional, while core state dysfunctional modalities were volitional, operational, and anxiety. Findings support the use of a 14-item PBS-S scale to measure a range of preperformance states.

Revisiting the Leadership Scale for Sport

2016 ◽  
Vol 119 (2) ◽  
pp. 435-449 ◽  
Author(s):  
Weisheng Chiu ◽  
Fernando M. Rodriguez ◽  
Doyeon Won
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
National Collegiate Athletic Association ◽  
Equation Modeling ◽  
Factorial Validity ◽  
Factor Solution ◽  
Exploratory Structural Equation Modeling ◽  
Confirmatory Factor

This study examines the factor structure of the shortened version of the Leadership Scale for Sport, through a survey of 201 collegiate swimmers at National Collegiate Athletic Association Division II and III institutions, using both exploratory structural equation modeling and confirmatory factor analysis. Both exploratory structural equation modeling and confirmatory factor analysis showed that a five-factor solution fit the data adequately. The sizes of factor loadings on target factors substantially differed between the confirmatory factor analysis and exploratory structural equation modeling solutions. In addition, the inter-correlations between factors of the Leadership Scale for Sport and the correlations with athletes’ satisfaction were found to be inflated in the confirmatory factor analysis solution. Overall, the findings provide evidence of the factorial validity of the shortened Leadership Scale for Sport.

Emotional intelligence in older adults: psychometric properties of the TMMS-24 and relationship with psychological well-being and life satisfaction

2017 ◽  
Vol 29 (8) ◽  
pp. 1327-1334 ◽  
Author(s):  
I. Delhom ◽  
M. Gutierrez ◽  
B. Lucas-Molina ◽  
J. C. Meléndez
Keyword(s):  
Older Adults ◽  
Life Satisfaction ◽  
Emotional Intelligence ◽  
Structural Equation ◽  
Well Being ◽  
Equation Modeling ◽  
Factor Analyses ◽  
Psychological Well Being ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor

ABSTRACTBackground:Aging is a process during which important changes occur in different areas of development and emotional intelligence plays an essential role. The objective of this study was twofold: first, to validate the TMMS-24 in an older population; and second, to examine the mediating role of life satisfaction in the relationship between emotional intelligence and psychological well-being.Methods:The sample consisted of 215 older adults (60.15% women) with a mean age of 69.56 (SD = 6.42), without cognitive impairment. Data on emotional intelligence, satisfaction with life, and psychological well-being were obtained through the TMMS-24, the SWLS, and Ryff's psychological well-being scales, respectively. Confirmatory factor analyses and structural equation modeling were conducted.Results:Confirmatory factor analyses confirmed the three-dimensional structure of the TMMS-24. The total scale showed an internal consistency of 0.90, ranging from 0.84 to 0.85 for the subscales. Structural equation modeling indicated that emotional intelligence exerted an influence on psychological well-being both directly and indirectly through life satisfaction.Conclusions:These findings show that the TMMS-24 has adequate psychometric properties for assessing emotional intelligence in elderly participants, and they indicate that emotional intelligence influences cognitive and affective judgments of life satisfaction, with these judgments of life satisfaction predicting psychological well-being.

A Psychometric Study of the Quality Perception Questionnaire

2012 ◽  
Vol 71 (2) ◽  
pp. 101-106 ◽  
Author(s):  
Raffaele Cioffi† ◽  
Anna Coluccia ◽  
Fabio Ferretti ◽  
Francesca Lorini ◽  
Aristide Saggino ◽  
...  
Keyword(s):  
Structural Equation ◽  
Factor Model ◽  
Equation Modeling ◽  
Fit Indices ◽  
Quality Perception ◽  
Italian Survey ◽  
Confirmatory Factor ◽  
Instrument Measuring ◽  
Hospital Structures

The present paper reexamines the psychometric properties of the Quality Perception Questionnaire (QPQ), an Italian survey instrument measuring patients’ perceptions of the quality of a recent hospital admission experience, in a sample of 4400 patients (Mage = 56.42 years; SD = 19.71 years, 48.8% females). The 14-item survey measures four factors: satisfaction with medical doctors, nursing staff, auxiliary staff, and hospital structures. First, we tested two models using a confirmatory factor analysis (structural equation modeling): a four orthogonal factor and a four oblique factor model. The SEM fit indices and the χ² difference suggested the acceptance of the second model. We then did a simulation using a bootstrap with 1000 replications. Results confirmed the four oblique factor solution. Third, we tested whether there were significant differences with respect to age or sex. The multivariate general linear model showed no significant differences in the factors with respect to sex or age.

Low Self-Control of Emotions as an Antecedent of Self-Reported Physical Symptoms: A Longitudinal Perspective

2001 ◽  
Vol 6 (1) ◽  
pp. 26-35 ◽  
Author(s):  
Marja Kokkonen ◽  
Lea Pulkkinen ◽  
Taru Kinnunen
Keyword(s):  
Structural Equation ◽  
Negative Emotions ◽  
Physical Symptoms ◽  
Self Control ◽  
Personality Characteristics ◽  
Equation Modeling ◽  
Eysenck Personality Questionnaire ◽  
Positive Direction ◽  
Data Collections ◽  
Low Self Control

The study was part of the Jyväskylä Longitudinal Study of Personality and Social Development, underway since 1968, in which children's low self-control of emotions was studied using teacher ratings at age 8 in terms of inattentiveness, shifting moods, aggression, and anxiety. The study was based on data from 112 women and 112 men who participated in the previous data collections at ages 8, 27, and 36. At age 27, the participants had been assessed in Neuroticism (N) using the Eysenck Personality Questionnaire , and at age 36 they filled in several inventories measuring, among others, conscious and active attempts to repair negative emotions in a more positive direction as well as physical symptoms. The present study used structural equation modeling to test the hypothesis that personality characteristics indicating low self-control of emotions at ages 8 and 27 are antecedents of self-reported physical symptoms at age 36; and that this relationship is indirect, mediated by attempts to repair negative emotions in a more positive direction. The findings showed, albeit for men only, that inattentiveness at age 8 was positively related to self-reported physical symptoms at age 36 via high N at age 27 and low attempts to repair negative emotions at age 36. Additionally, N at age 27 was directly linked to self-reported physical symptoms at age 36. The mediation of an active attempt to repair negative emotions was not found for women. Correlations revealed, however, that shifting moods and aggression in girls were antecedents of self-reported physical symptoms in adulthood, particularly, pain and fatigue.

The Schoolwork Engagement Inventory

2012 ◽  
Vol 28 (1) ◽  
pp. 60-67 ◽  
Author(s):  
Katariina Salmela-Aro ◽  
Katja Upadaya
Keyword(s):  
Secondary School ◽  
Concurrent Validity ◽  
Structural Equation ◽  
Self Esteem ◽  
Equation Modeling ◽  
Validity And Reliability ◽  
Older Students ◽  
School Students ◽  
Factor Solution ◽  
Upper Secondary

This study introduces the Schoolwork Engagement Inventory (EDA), which measures energy, dedication, and absorption with respect to schoolwork. Structural equation modeling was used to assess the validity and reliability of the inventory among students attending postcomprehensive schools. A total of 1,530 (769 girls, 761 boys) students from 13 institutions (six upper-secondary and seven vocational schools) completed the EDA 1 year apart. The results showed that a one-factor solution had the most reliability and fitted best among the younger students, whereas a three-factor solution was most reliable and fit best among the older students. In terms of concurrent validity, depressive symptoms and school burnout were inversely related, and self-esteem and academic achievement were positively associated with EDA. Boys and upper-secondary-school students experienced lower levels of schoolwork engagement than girls and vocational-school students.

Celebrity Worship Among University Students in Malaysia

2011 ◽  
Vol 16 (4) ◽  
pp. 334-342 ◽  
Author(s):  
Viren Swami ◽  
Tomas Chamorro-Premuzic ◽  
Khairul Mastor ◽  
Fatin Hazwani Siran ◽  
Mohammad Mohsein Mohammad Said ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Attitude Scale ◽  
Equation Modeling ◽  
Future Research ◽  
The West ◽  
Factor Solution ◽  
Movie Stars ◽  
Three Factor

The present study examined conceptual issues surrounding celebrity worship in a Malay-speaking population. In total, 512 Malay and 269 Chinese participants from Malaysia indicated who their favorite celebrity was and completed the Celebrity Attitude Scale (CAS) as well as a range of demographic items. Results showed that the majority of Malay and Chinese participants selected pop stars and movie stars as their favourite celebrities, mirroring findings in Western settings. In addition, exploratory factor analysis revealed a three-factor solution of the CAS that was consistent with previous studies conducted in the West. Structural equation modeling further revealed that participant’s age was negatively associated with celebrity worship and that self-rated attractiveness was positively associated with celebrity worship. Overall, the present results suggest that celebrity worship in Malaysia may be driven by market and media forces, and future research may well be guided by use of the CAS.

Working Memory, Mental Prospection, Time Orientation, and Cognitive Insight

2013 ◽  
Vol 34 (3) ◽  
pp. 159-169 ◽  
Author(s):  
Sevtap Cinan ◽  
Aslı Doğan
Keyword(s):  
Working Memory ◽  
Structural Equation ◽  
Factor Model ◽  
Time Orientation ◽  
Equation Modeling ◽  
Cognitive Insight ◽  
Confirmatory Factor ◽  
Negative Effect ◽  
Positive Effect ◽  
Three Factor

This research is new in its attempt to take future time orientation, morningness orientation, and prospective memory as measures of mental prospection, and to examine a three-factor model that assumes working memory, mental prospection, and cognitive insight are independent but related higher-order cognitive constructs by using confirmatory factor analysis (CFA). The three-factor model produced a good fit to the data. An alternative one-factor model was tested and rejected. The results suggest that working memory and cognitive insight are distinguishable, related constructs, and that both are distinct from, but negatively associated with, mental prospection. In addition, structural equation modeling (SEM) showed that working memory had a strong positive effect on cognitive insight and a moderate negative effect on mental prospection.

Further Insights Into the German Version of the Multidimensional Assessment of Interoceptive Awareness (MAIA)

2019 ◽  
Vol 35 (3) ◽  
pp. 317-325 ◽  
Author(s):  
Dorota Reis
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Interoceptive Awareness ◽  
Multidimensional Assessment ◽  
New Instrument ◽  
Confirmatory Factor ◽  
Complex Models ◽  
Approximate Zero ◽  
Bayesian Structural Equation Modeling

Abstract. Interoception is defined as an iterative process that refers to receiving, accessing, appraising, and responding to body sensations. Recently, following an extensive process of development, Mehling and colleagues (2012) proposed a new instrument, the Multidimensional Assessment of Interoceptive Awareness (MAIA), which captures these different aspects of interoception with eight subscales. The aim of this study was to reexamine the dimensionality of the MAIA by applying maximum likelihood confirmatory factor analysis (ML-CFA), exploratory structural equation modeling (ESEM), and Bayesian structural equation modeling (BSEM). ML-CFA, ESEM, and BSEM were examined in a sample of 320 German adults. ML-CFA showed a poor fit to the data. ESEM yielded a better fit and contained numerous significant cross-loadings, of which one was substantial (≥ .30). The BSEM model with approximate zero informative priors yielded an excellent fit and confirmed the substantial cross-loading found in ESEM. The study demonstrates that ESEM and BSEM are flexible techniques that can be used to improve our understanding of multidimensional constructs. In addition, BSEM can be seen as less exploratory than ESEM and it might also be used to overcome potential limitations of ESEM with regard to more complex models relative to the sample size.

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