Effects of Personality and Gender on Fantasy Sports Game Participation: The Moderating Role of Perceived Knowledge

Although 30 million individuals are engaged in fantasy sports games in the United States, little is known about the personality, attitudes, and intentions of fantasy sports game participants. This study (N = 244) explored the role of gender, sensation seeking (SS), locus of control (LOC), and need for cognition (NFC) in predicting attitudes and intentions relative to participating in fantasy football league. A domain-specific construct (e.g., perceived football knowledge: PK) was employed as a moderator to control the potential attenuating effects of personality and related human behavior. A moderated multiple regression technique (MMR) examined the first-order and lower-order interaction effects on attitudes and behavioral intentions toward fantasy games. For males (n = 123), SS, LOC, and PK were related to both attitudes and intentions toward participating and PK acted as a moderator between LOC and intentions. For females (n = 121), none of the personality traits was associated with attitudes or intentions. The applied and theoretical implications of the findings are discussed along with future directions for research.     

Dynamic principal component analysis with missing values

Dynamic principal component analysis (DPCA), also known as frequency domain principal component analysis, has been developed by Brillinger [Time Series: Data Analysis and Theory, Vol. 36, SIAM, 1981] to decompose multivariate time-series data into a few principal component series. A primary advantage of DPCA is its capability of extracting essential components from the data by reflecting the serial dependence of them. It is also used to estimate the common component in a dynamic factor model, which is frequently used in econometrics. However, its beneficial property cannot be utilized when missing values are present, which should not be simply ignored when estimating the spectral density matrix in the DPCA procedure. Based on a novel combination of conventional DPCA and self-consistency concept, we propose a DPCA method when missing values are present. We demonstrate the advantage of the proposed method over some existing imputation methods through the Monte Carlo experiments and real data analysis.     

Cross‐Cultural Interviewing in the Hiring Process: Challenges and Strategies

Although interviews are used widely in the selection of suitable job applicants, recruiters may unconsciously be operating from culturally biased frameworks. In this article, the use of interviews across different cultural backgrounds and the potential for cultural bias are presented. Two case studies are used to illustrate the importance of cultural sensitivity in successful interviewing. Effective techniques, which include establishing rapport with the candidate, building a relationship, and choosing appropriate interview styles, are provided for practitioners.     

Impact of urbanisation and agriculture on the diet of fruit bats

The expansion of cities and agricultural plantations have unpredictable impacts on biodiversity and ecosystem services. Yet some species are capable of tolerating anthropogenic impacts and continue to provide ecological services in highly disturbed landscapes. The objective of this study was to use DNA barcoding to identify digested plant materials and seeds in the faeces of frugivorous bats (Cynopterus brachyotis) and investigate whether (1) C. brachyotis in urban and agricultural areas exploit cultivated and exotic plants as a novel food resource and as a consequence, potentially facilitate the invasion of cultivated and exotic plants, or whether (2) C. brachyotis exploit native plants and as a consequence, potentially promote forest regeneration. A native species, Ficus fistulosa, was the most frequently detected plant and the seeds were found in bat faeces from all sampling sites suggesting the potential of fruit bats in dispersing seeds. However, we also detected several exotic plants in the faeces of C. brachyotis which suggests that the fruit bats exploit novel food resources at all sites. We recorded a diverse diet of C. brachyotis at an oil palm plantation which indicated that the fruit bats are not predominantly feeding on oil palm fruits. By using DNA barcoding, we detected plants that have not been reported in previous studies of the diet of C. brachyotis, although we could not identify which part of the plant was being consumed by the fruit bats. Given the varied diet of C. brachyotis, the potential of this bat to adapt to changing landscapes is high and they are likely dispersing seeds of native pioneer plants (Ficus).

     

Comparison of Temperament and Character Between Early- and Late-Onset Korean Male Pathological Gamblers

Purposes  

We investigated differences in temperament and character between early and late onset Korean pathological gamblers to identify whether the age of onset of pathological gambling (PG) could discriminate PG subtypes, like in alcoholism.     

Doing good when times are bad: volunteering behaviour in economic hard times

This paper examines how the 2008–9 recession has affected volunteering behaviours in the UK. Using a large survey dataset, we assess the recession effects on both formal volunteering and informal helping behaviours. Whilst both formal volunteering and informal helping have been in decline in the UK since 2008, the size of the decline is significantly larger for informal helping than for formal volunteering. The decline is more salient in regions that experienced a higher level of unemployment during the recession and also in socially and economically disadvantaged communities. However, we find that a growing number of people who personally experienced financial insecurity and hardship do not explain the decline. We argue that the decline has more to do with community‐level factors such as civic organizational infrastructure and cultural norms of trust and engagement than personal experiences of economic hardship.     

On improved estimation of a gamma shape parameter

This paper deals with improved estimation of a gamma shape parameter from a decision-theoretic point of view. First we study the second-order properties of three estimators – (i) the maximum-likelihood estimator (MLE), (ii) a bias corrected version of the MLE, and (iii) an improved version (in terms of mean squared error) of the MLE. It is shown that all the three estimators mentioned above are second-order inadmissible. Next, we obtain superior estimators which are second order better than the above three estimators. Simulation results are provided to study the relative risk improvement of each improved estimator over the MLE.