Promoting fan engagement: An exploration of the fundamental motives for sport consumption amongst premier league football spectators

The aim of this study was to examine whether fan engagement could be predicted by the motivational dimensions of sport consumption. A sample of 806 football sport fans (African = 85%, male = 67.4%, part of an organised supporters club = 57.6%) were participants. They completed the Fan Engagement Scale (FES), the Motivation Scale for Sport Consumption (MSSC) and a biographical questionnaire. Structural equation modelling was applied to evaluate the postulated regressive paths between the motivational dimensions for sports consumption and fan engagement. The motivational dimensions for sport consumption were clustered into personal and game-related factors. Both these clusters of factors were predictive of fan engagement. Customer engagement (CE) theory appears to explain the findings.     

Hijab in the American workplace: visibility and discrimination

While the initial purpose of this article was to outline online collective action (OCA) towards promoting the rights of hijab-wearing Muslim women in the workplace, it became apparent that there were substantial impediments to this solidarity. Thus, the bulk of it takes up these obstacles, arguing that American hijabis face structural discrimination and Muslims in the United States are subjected to heightened discrimination when they are highly visible to the mainstream culture. This article reviews two cases of workplace discrimination against hijabis and the reactions to these incidents on the Huffington Post, Los Angeles Times, and hijab-oriented blogs. Findings indicate that intolerance of Muslims is prevalent across various political affiliations and apprehension associated with hijabi rights could be related to the perceived decline of white privilege. The analysis also demonstrates that there may be impediments to solidarity with hijabi rights within Muslim communities due to disagreements on the Qur’anic mandate of modesty, divergent perspectives on how Muslims can best promote their rights and ensure their safety, and misunderstandings related to the rights guaranteed under reasonable accommodation. Despite the various obstacles to solidarity with hijabis, the article traces various forms of OCA at local, national and international levels that were encountered on social media platforms.     

Psychometrics in Support of a Valid Assessment of Linguistic Minorities: Implications for the Test and Sampling Designs

In this study, we propose that the unique needs and characteristics of linguistic minorities should be considered throughout the test development process. Unlike most measurement invariance investigations in the assessment of linguistic minorities, which typically are conducted after test administration, we propose strategies that focus on the early stages of test development. Our approaches involve considering linguistic minorities in the selection of the test and sampling designs. We posit that joint consideration of these issues preemptively can strengthen the claims derived from tests used to assess linguistically diverse populations. This also will contribute to more psychometrically robust assessments, which can yield accurate and valid score-based inferences for linguistic minorities. To this end, we provide various examples and methodological approaches that can be used in the selection of the test and sampling designs that take these issues into consideration.     

Integration of spatial information across vision and language

Three experiments investigated whether spatial information acquired from vision and language is maintained in distinct spatial representations on the basis of the input modality. Participants studied a visual and a verbal layout of objects at different times from either the same (Experiments 1 and 2) or different learning perspectives (Experiment 3) and then carried out a series of pointing judgments involving objects from the same or different layouts. Results from Experiments 1 and 2 indicated that participants pointed equally fast on within- and between-layout trials; coupled with verbal reports from participants, this result suggests that they integrated all locations in a single spatial representation during encoding. However, when learning took place from different perspectives in Experiment 3, participants were faster to respond to within- than between-layout trials and indicated that they kept separate representations during learning. Results are compared to those from similar studies that involved layouts learned from perception only.     

词素的结构对称效应:结构对称汉语成语认知特点的进一步研究

运用词素启动作业,进一步考察了结构对称性汉语成语的识别过程.结果发现(1)无论是用成语的前二个字还是后二个字启动,在成语识别过程中都存在明显的词素结构对称效应,即结构对称成语中的词素启动效应明显大于非对称成语中的词素启动效应.(2)成语的结构对称性、熟悉度和启动词素位置之间存在显著的三阶相互作用.简单效应的分析表明无论成语前二个字还是后二个字启动,词素的结构对称效应均只在低熟悉度成语的识别过程中显著;在前二个字启动时,非对称成语的识别还存在熟悉度效应.     

A multitrait-multimethod model with minimal assumptions

A new model of confirmatory factor analysis (CFA) for multitrait-multimethod (MTMM) data sets is presented. It is shown that this model can be defined by only three assumptions in the framework of classical psychometric test theory (CTT). All other properties of the model, particularly the uncorrelated-ness of the trait with the method factors are logical consequences of the definition of the model. In the model proposed there are as many trait factors as different traits considered, but the number of method factors is one fewer than the number of methods included in an MTMM study. The covariance structure implied by this model is derived, and it is shown that this model is identified even under conditions under which other CFA-MTMM models are not. The model is illustrated by two empirical applications. Furthermore, its advantages and limitations are discussed with respect to previously developed CFA models for MTMM data.     

Robust mean and covariance structure analysis through iteratively reweighted least squares

Robust schemes in regression are adapted to mean and covariance structure analysis, providing an iteratively reweighted least squares approach to robust structural equation modeling. Each case is properly weighted according to its distance, based on first and second order moments, from the structural model. A simple weighting function is adopted because of its flexibility with changing dimensions. The weight matrix is obtained from an adaptive way of using residuals. Test statistic and standard error estimators are given, based on iteratively reweighted least squares. The method reduces to a standard distribution-free methodology if all cases are equally weighted. Examples demonstrate the value of the robust procedure.The authors acknowledge the constructive comments of three referees and the Editor that lead to an improved version of the paper. This work was supported by National Institute on Drug Abuse Grants DA01070 and DA00017 and by the University of North Texas Faculty Research Grant Program.     

Analysing multisource feedback with multilevel structural equation models: Pitfalls and recommendations from a simulation study

When multisource feedback instruments, for example, 360-degree feedback tools, are validated, multilevel structural equation models are the method of choice to quantify the amount of reliability as well as convergent and discriminant validity. A non-standard multilevel structural equation model that incorporates self-ratings (level-2 variables) and others’ ratings from different additional perspectives (level-1 variables), for example, peers and subordinates, has recently been presented. In a Monte Carlo simulation study, we determine the minimal required sample sizes for this model. Model parameters are accurately estimated even with the smallest simulated sample size of 100 self-ratings and two ratings of peers and of subordinates. The precise estimation of standard errors necessitates sample sizes of 400 self-ratings or at least four ratings of peers and subordinates. However, if sample sizes are smaller, mainly standard errors concerning common method factors are biased. Interestingly, there are trade-off effects between the sample sizes of self-ratings and others’ ratings in their effect on estimation bias. The degree of convergent and discriminant validity has no effect on the accuracy of model estimates. The χ² test statistic does not follow the expected distribution. Therefore, we suggest using a corrected level-specific standardized root mean square residual to analyse model fit and conclude with further recommendations for applied organizational research.     

Reaching Wuthering Heights with Brave New Words: The Influence of Originality of Words on the Success of Outstanding Best‐Sellers

The judgment and ultimately the success of creative products should be determined by their properties. However, it has not been considered so far whether the same applies to books. Earlier research has found an inverted‐U relationship between originality of stimuli and their success. Linguistic originality as a text feature could influence the success of books as creative products in a natural experiment. The present historiometric study investigated whether originality predicts the popularity in a significant sample, the most best‐selling English books from 200 years. Originality was calculated based on word frequency using a commercial service. Popularity was assessed with a composite measure including indicators like number of sold copies. Regression analysis indicated originality had a direct linear effect on popularity, partially moderated by the time of first publishing. That is, while originality was generally beneficial for the success of a best‐seller, the same originality was more appreciated at a later point in time. This is the first quantitative study supporting the long‐held assumption that the evaluation of creative narratives is influenced by temporal context. The fact that some works like The Great Gatsby got more appreciation when they were rediscovered may reflect a general principle rather than mere exceptions.