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.

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 A Study on Structural Relationships Between Consulting Service Quality, Management Human Capital, and Entrepreneurship

2020 ◽  
Vol 11 (2) ◽  
pp. 144
Author(s):  
Tae-Young Kim ◽  
Yen-Yoo You
Keyword(s):  
Human Capital ◽  
Service Quality ◽  
Structural Equation ◽  
Descriptive Analysis ◽  
Business Environment ◽  
Equation Modeling ◽  
Corporate Managers ◽  
Consulting Services ◽  
Structural Relationships ◽  
Confirmatory Factor

Background/Objectives: The purpose of this study is to empirically verify the effect of consulting services quality on management human capital and ultimately Entrepreneurship in the rapidly changing business environment. This study attempted to empirically examine the effect of the consulting service quality perceived by corporate managers on the Business Management Human Capital and Entrepreneurship of the company when the company experienced consulting.Methods/Statistical analysis: This study conducted survey research on managers n = 255 in Korea. In this study, we used SPSS 22.0 Version Program to verify the research hypothesis. Next, we performed SEM using the AMOS 22.0 Version program to implement the Structural Equation Modeling. Specifically, Frequency Analysis, Descriptive Analysis, Pearson`s Correlation Analysis, Confirmatory Factor Analysis, Reliability Test, and Pathway Analysis were conducted.Findings: The major findings are as follows. Process- Quality was found to have a statistically significant effect on Development Ability, Leadership Ability, and Marketing Ability. Next, the Technical-Quality was found to have a statistically significant effect on Development Ability, Recruiting Ability, Leadership Ability, and Marketing Ability. Lastly, only two variables, Leadership Ability and Marketing Ability, which affect Entrepreneurship, were statistically significant. Based on this, we tried to empirically verify the importance of consulting. The results presented in this study have practical implications for empirically verifying the necessity of consulting. According to the research results, it is necessary to make efforts to improve leadership and marketing ability in order to enhance Entrepreneurship.Improvements/Applications: However, this study has some limitations. Because this study is based on a limited sample, there are some limitations to the generalization of the results. Therefore, if further research is conducted later, we expect that the study will be conducted on more samples.

Collaborative consumption: the role of familiarity and trust among Millennials

2018 ◽  
Vol 35 (4) ◽  
pp. 377-391 ◽  
Author(s):  
Christoph Mittendorf
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Research Model ◽  
Collaborative Consumption ◽  
Content Type ◽  
User Intentions ◽  
Structural Relationships ◽  
Confirmatory Factor ◽  
The Impact

PurposeThis paper aims to focus on online hospitality platforms in the collaborative consumption environment. In particular, this paper investigates the impact of trust on the obtainers’ intentions to “inquire about accommodations” and to “request a booking” on Airbnb.com.Design/methodology/approachThis paper takes the perspective of a potential renter, respectively, obtainer and adopts Gefen’s (2000) research model, which incorporates familiarity and trust in the e-commerce industry. In this regard, the paper extends the work on two-sided markets of Mittendorf (2016-2017). To verify the modified research model, a survey was conducted, gathering results from over 426 participants of which 255 valid responses from the Millennials generation were obtained. This paper uses covariance-based structural equation modeling to analyze both measurement and structural relationships regarding the interaction framework.FindingsThe results show empirical evidence that both “trust in the intermediary” and “trust in providers” are decisive for the obtainers’ intentions on the online platform. In this regard, this paper advances the understanding of the collaborative consumption mechanisms by adapting trust literature to validate the obtainers’ intentions on contemporary collaborative consumption platforms.Research limitations/implicationsWhile the unit of analysis of prior research comprises the general intention to share, this paper empirically validates a more deliberate decision of user intentions by focusing on the intention to inquire about accommodations (no registration necessary) and the intention to request a booking (registration necessary). However, this study is dependent on one setting and it is still unclear whether the results are generalizable to other collaborative consumption setups.Originality/valueThis paper is in line with the work of Mittendorf (2016-2017), thus, it uses a sophisticated statistical approach to analyze trust in the collaborative consumption environment, such as confirmatory factor analysis and structural equation modeling.

Modeling the Structural Relationships of Activity-Travel Participation of Working Women

2018 ◽  
Vol 2672 (47) ◽  
pp. 81-91 ◽  
Author(s):  
Rezwana Rafiq ◽  
Michael G. McNally
Keyword(s):  
Land Use Planning ◽  
Time Allocation ◽  
Structural Equation ◽  
Working Mothers ◽  
Policy Formulation ◽  
Equation Modeling ◽  
Activity Participation ◽  
Work Activity ◽  
Multiple Group ◽  
Structural Relationships

The structural relationships between work and non-work activity participation and associated travel engagements are developed for single working mothers and married working mothers. Multiple-group structural equation modeling (SEM) is used to analyze the relationships between work and non-work time usage of the two groups for both in-home and out-of-home contexts. Non-work activities are childcare, maintenance, and discretionary activities. In addition to revealing interrelationships between work and non-work activity participation for each group, this multiple-group SEM model allows for the comparison of how these relationships differ across the two study groups. Data were obtained from the American Time Use Survey for 2012. The resulting model shows that these two groups demonstrate statistically significant differences in their activity interactions in terms of how participation in an activity affects the duration of other activities and travel. The model also captures the different degree of impacts of household and person-level socio-demographic characteristics (exogenous effects) of these two groups on activity participation (activity duration) and travel engagement (travel time). The findings of this research advance the understanding of the activity participation and time-allocation decisions made by working mothers, which can lead toward policy formulation for them in terms of social, land-use planning, and activity-based approach perspectives.

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.

The Measurement Invariance of the Short Dark Triad

2020 ◽  
Vol 41 (4) ◽  
pp. 207-218
Author(s):  
Mihaela Grigoraș ◽  
Andreea Butucescu ◽  
Amalia Miulescu ◽  
Cristian Opariuc-Dan ◽  
Dragoș Iliescu
Keyword(s):  
Structural Equation Modeling ◽  
Item Response ◽  
Structural Equation ◽  
Dark Triad ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Scale Level ◽  
High Stake ◽  
Differential Functioning ◽  
Item Functioning

Abstract. Given the fact that most of the dark personality measures are developed based on data collected in low-stake settings, the present study addresses the appropriateness of their use in high-stake contexts. Specifically, we examined item- and scale-level differential functioning of the Short Dark Triad (SD3; Paulhus & Jones, 2011 ) measure across testing contexts. The Short Dark Triad was administered to applicant ( N = 457) and non-applicant ( N = 592) samples. Item- and scale-level invariances were tested using an Item Response Theory (IRT)-based approach and a Structural Equation Modeling (SEM) approach, respectively. Results show that more than half of the SD3 items were flagged for Differential Item Functioning (DIF), and Exploratory Structural Equation Modeling (ESEM) results supported configural, but not metric invariance. Implications for theory and practice are discussed.

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.

How Communication in Organizations Is Related to Foci of Commitment and Turnover Intentions

2020 ◽  
pp. 1-12
Author(s):  
Sebastian Holzwarth ◽  
George Gunnesch-Luca ◽  
Roman Soucek ◽  
Klaus Moser
Keyword(s):  
Organizational Communication ◽  
Turnover Intention ◽  
Structural Equation ◽  
Affective Commitment ◽  
Turnover Intentions ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Confirmatory Factor ◽  
Communication In Organizations ◽  
Cohesion Theory

Abstract. The current study analyzes how two components of perceived organizational communication (vertical and horizontal) are related to employee turnover intentions via three types of affective commitment foci (organization, supervisor, and team). Using second-order confirmatory factor analysis and structural equation modeling techniques with a large cross-sectional dataset ( n = 3,317), our results show that, in line with social cohesion theory, vertical communication (e.g., supportiveness from the organization) is strongly related to affective organizational commitment, whereas horizontal communication (e.g., supportiveness from colleagues) is primarily related to affective team commitment. Additionally, both communication dimensions are related to affective supervisory commitment. Finally, these three foci of affective commitment incrementally explain and differentially mediate the relationship between perceived organizational communication and turnover intention.

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