The relationship of sport experience and the effect of competitive anxiety during the match for junior handball player students

The main aim of the current study were to find out the effect of competitive anxiety during the match for junior handball player students, and to investigate the relationship between the training experience of students and the level of competitive anxiety during the match for junior handball player students in youth centers of Duhok province in Iraq. A total number of participants was 128 junior handball players divided into 8 youth centers (Akre, Amedi, Bardarash, Domiz, Duhok, Shexan, Sumel and Zaxo) each center contain 16 players. The scale of the Competitive State Anxiety Inventory-2 was used to collect the data. The one way ANOVA, Test Least Significant Difference to find out the effect of competitive anxiety during the match for junior handball player students, and the correlation was conducted to find the relationship between the competitive anxiety and the training experience. The results showed that there is a significant differences between junior handball player students in the level of competitive anxiety for the youth centers (p < 0.00), and there is a negative significant correlation between the training experience and the level of competitive anxiety (r = ? 0.423, p = 0.00). This study would show useful information about the effect of competitive anxiety and training experience for junior handball player students.     

Revisiting the difference between mixed methods and multimethods: Is it all in the name?

The literature on mixed methods and multimethods has burgeoned over the last 20 years, and researchers from a growing number and diversity of fields have progressively embraced these approaches. However, rapid growth in any movement inevitably gives rise to gaps or shortcomings, such as “identity crises” or divergent conceptual views. Although some authors draw a clear and sometimes opinionated distinction between mixed methods and multimethods, for others, they are synonymous. The concepts underlying both terms therefore have become blurred and generated much confusion. The aim of this article is to explore the origins of the confusion, describe our view of mixed methods and multimethod studies, and by doing so, help to clearly delineate the two concepts. The authors have presented their opinion of how these terms and concepts should be distinguished and call for a constructive debate of the issues involved in the mixed methods and multimethod literature. This is a way truly to propel the field forward.     

Factors influencing women's decision to leave an organization following childbirth

The purpose of this study was to understand the reasons why college-educated women leave organizations after childbirth. Results from 228 women who participated in a study of intention to work following childbirth indicated specific work and family factors that differentiated mothers who returned to work from mothers who stayed home after childbirth. Comparisons were also made between women who had a child and those who anticipated having a child. The findings are discussed in terms of their implications for organizational policy makers.     

Gender as a moderator of the relationship between Facebook<Superscript>®</Superscript> addiction and self-efficacy for learning in a college sample: the mediating effect of deliberative belief

The present study explores the mediating role of deliberative belief and the moderating role of gender on the relationships between Facebook^® addiction and self-efficacy for learning among 690 college students. Self-administered questionnaires, including a Facebook^® Addiction Scale, a Deliberative Belief Scale and a Self-efficacy for Learning Scale were utilized to collect the data. The results indicated that there was a negatively significant relationship between Facebook^® addiction and deliberative belief (β = ? 0.25, p < .001) and a positively significant relationship between deliberative belief and self-efficacy for learning (β = + 0.53, p < .001). A multigroup analysis using structure equation modeling also demonstrated that gender moderated the relationship between Facebook^® addiction and deliberative belief. The findings revealed that high Facebook^® addiction was associated with decreased deliberative belief, which was further associated with decreased self-efficacy for learning. Moreover, Facebook^® addiction tends to significantly reduce the self-efficacy for learning for male students but not for female students.     

Economics of evaluation (with special reference to promotion and tenure committees)

Previous research suggests that universities that fear tenuring bad candidates more than they fear rejecting good candidates would optimally have both department and outside evaluating committees. I find that a higher relative cost of accepting bad candidates is neither necessary nor sufficient for the optimality of more than one committee. Also, with some probability, t, the administration will tenure one with split recommendations from two committees, if one committee is more accurate than the other, one structure will have fewer errors of both types for some range of t, and possibly a lower expected loss from errors for all t.     

Bayesian estimation based on ranked set sample from Morgenstern type bivariate exponential distribution when ranking is imperfect

In this paper we consider Bayes estimation based on ranked set sample when ranking is imperfect, in which units are ranked based on measurements made on an easily and exactly measurable auxiliary variable X which is correlated with the study variable Y. Bayes estimators under squared error loss function and LINEX loss function for the mean of the study variate Y, when (X, Y) follows a Morgenstern type bivariate exponential distribution, are obtained based on both usual ranked set sample and extreme ranked set sample. Estimation procedures developed in this paper are illustrated using simulation studies and a real data.     

Gender differences in the effect of downward influence strategies on perceived stress and general-health: The mediating role of organizational justice

This study examined the effects of supervisor’s downward influence strategies (DIS) on subordinates’ perceived stress and general-health. The influencing effects of DIS were also analyzed in the light of the mediating effects of organizational justice dimensions, namely, distributive justice (DJ), procedural justice (PJ) and interactional justice (IJ). Responses were collected from three organizations through survey method (Males, N = 91; females, N = 74). Gender differences were observed in the perceptions of DIS which affected perceived stress and general-health conditions of both male and female employees. Further, the results revealed that supervisor’s task-oriented DIS (e.g., negative sanctions) increase perceived stress and negative health conditions in both genders. Supervisor’s people-oriented DIS (e.g., ingratiation) lowered perceived stress and triggered botheration-free existence in the employees. The mediation analysis of justice dimensions indicated that, in the case of males, IJ and PJ positively mediate people-oriented DIS effects on stress and general health. However, in females, supervisor’s ingratiation and positive sanctions helped in ameliorating stress through their positive PJ perceptions. Strong indirect effects of supervisor’s task-oriented strategy (e.g., rationality) were observed on male’s stress and general-health through IJ. On the other hand, supervisor’s rationality and assertiveness reduced female employees’ perceived stress through their PJ and DJ perceptions, respectively.     

A Cramér-type large deviation theorem for sums of functions of higher order non-overlapping spacings

Let U ₁, U ₂, . . . , U _n–1 be an ordered sample from a Uniform [0,1] distribution. The non-overlapping uniform spacings of order s are defined as \({G_{i}^{(s)} =U_{is} -U_{(i-1)s}, i=1,2,\ldots,N^\prime, G_{N^\prime+1}^{(s)} =1-U_{N^\prime s}}\) with notation U ₀ = 0, U _n = 1, where \({N^\prime=\left\lfloor n/s\right\rfloor}\) is the integer part of n/s. Let \({ N=\left\lceil n/s\right\rceil}\) be the smallest integer greater than or equal to n/s, f _m (u), m = 1, 2, . . . , N, be a sequence of real-valued Borel-measurable functions. In this article a Cramér type large deviation theorem for the statistic \({f_{1,n} (nG_{1}^{(s)})+\cdots+f_{N,n} (nG_{N}^{(s)} )}\) is proved.     

Evaluating corruption under the application of the SOCIO-economic development desgrowth index (Ð-index): the case of Guatemala

Getting a clear sense of the intensity and dynamics of corruption in a society or country is a critical platform for economic growth and development. This paper sets out to bring clarity to the study of corruption through an alternative approach. It examines and demonstrates how corruption can be evaluated by basically hinging it on the socio-economic development deaccumulation that any country can experience in different historical periods. The paper presents the socio-economic development desgrowth index (Ð-index), a new indicator with a complete set of mathematical tools that capture and calculate all the aspects that encompass corruption within a system or country. The paper successfully applied the (Ð-index) to X-ray the successive administrations of Guatemala from 1986 to year 2016 from where we convincingly observed the highs and lows in the corruption dynamics of Guatemala.     

Every member of the core is as respectful as any other

We strategically separate different core outcomes. The natural counterparts of a core allocation in a strategic environment are the α-core, the β-core and the strong equilibrium, modified by assuming that utility is transferable in a strategic context as well. Given a core allocation ω of a convex transferable utility (TU) game \(v\), we associate a strategic coalition formation game with \( \left( {v, \omega } \right) \) in which ω survives, while most other core allocations are eliminated. If the TU game is strictly convex, the core allocations respected by the TU-α-core, the TU-β-core and the TU-strong equilibrium shrink to ω only in the canonical family of coalition formation games associated with \( \left( {v, \omega } \right) \). A mechanism, which strategically separates core outcomes from noncore outcomes for each convex TU game according to the TU-strong equilibrium notion is reported.     

Using fear appeals to promote cancer screening—are we scaring the wrong people?

• There is debate regarding the use of fear appeals (emphasizing severe threats to health) in social marketing, to encourage preventive behaviours, such as screening for breast cancer. While it has been found that fear appeals may result in attitude and behaviour change there is also the risk of inciting inappropriate levels of fear, motivating the wrong audience or instigating maladaptive behaviour in the target group such as denial or defensive avoidance. This study examined the impact of an experimental threat manipulation for mammography screening on a group of women in regional Australia. The study found that varying the level of threat had no impact on stated intentions of the women to undergo mammographic screening. However, it also found that high-threat messages resulted in stronger negative emotional reactions and greater perceived susceptibility among younger women who are not the target group for screening in Australia. The results of this study emphasize the importance of limiting the use of high levels of threat in social marketing campaigns, and ensuring that campaigns are appropriately designed to specifically impact upon and motivate the target group.

Copyright © 2006 John Wiley & Sons, Ltd.     

Asymptotic non-deficiency of the Bayes sequential estimation in a family of transformed Chi-square distributions

Bayes sequential estimation in a family of transformed Chi-square distributions using a linex loss function and a cost c > 0 for each observation is considered in this paper. It is shown that an asymptotic pointwise optimal rule (A.P.O.) is asymptotically non-deficient, i.e., the difference between the Bayes risk of the A.P.O. rule and the Bayes risk of the optimal procedure is of smaller order of magnitude than c, the cost of single observation, as c → 0.     

Asymptotic inference for a one-dimensional simultaneous autoregressive model

A nonstationary simultaneous autoregressive model \({X^{(n)}_k=\alpha \Big(X^{(n)}_{k-1}+X^{(n)}_{k+1}\Big)+\varepsilon_k, k=1, 2, \ldots , n-1}\), is investigated, where \({X^{(n)}_0}\) and \({X^{(n)}_n}\) are given random variables. It is shown that in the unstable case α = 1/2 the least squares estimator of the autoregressive parameter converges to a functional of a standard Wiener process with a rate of convergence n ², while in the stable situation |α| < 1/2 the estimator is biased but asymptotically normal with a rate n ^1/2.     

An evaluation of the performance and suitability of R × C methods for ecological inference with known true values

Ecological inference refers to the study of individuals using aggregate data and it is used in an impressive number of studies; it is well known, however, that the study of individuals using group data suffers from an ecological fallacy problem (Robinson in Am Sociol Rev 15:351–357, 1950). This paper evaluates the accuracy of two recent methods, the Rosen et al. (Stat Neerl 55:134–156, 2001) and the Greiner and Quinn (J R Stat Soc Ser A (Statistics in Society) 172:67–81, 2009) and the long-standing Goodman’s (Am Sociol Rev 18:663–664, 1953; Am J Sociol 64:610–625, 1959) method designed to estimate all cells of R × C tables simultaneously by employing exclusively aggregate data. To conduct these tests we leverage on extensive electoral data for which the true quantities of interest are known. In particular, we focus on examining the extent to which the confidence intervals provided by the three methods contain the true values. The paper also provides important guidelines regarding the appropriate contexts for employing these models.     

Relations for product moments and covariances of <Emphasis Type="Italic">k</Emphasis>th records from discrete distributions

The aim of this paper is to establish recurrence relations satisfied by product moments and covariances of kth records arising from discrete distributions. They will be evaluated for geometric underlying distribution. Then we use these results to obtain formulas for correlation coefficients of geometric kth records. We consider all three known types of kth records: strong, ordinary, and weak.     

The variance of the discrepancy distribution of rounding procedures,and sums of uniform random variables

When \(\ell \) probabilities are rounded to integer multiples of a given accuracy n, the sum of the numerators may deviate from n by a nonzero discrepancy. It is proved that, for large accuracies \(n \rightarrow \infty \), the limiting discrepancy distribution has variance \(\ell /12\). The relation to the uniform distribution over the interval \([-1/2, 1/2]\), whose variance is 1 / 12, is explored in detail.     

“Speculative Influence Network” during financial bubbles: application to Chinese stock markets

We introduce the Speculative Influence Network (SIN) to decipher the causal relationships between sectors (and/or firms) during financial bubbles. The SIN is constructed in two steps. First, we develop a Hidden Markov Model (HMM) of regime-switching between a normal market phase represented by a geometric Brownian motion and a bubble regime represented by the stochastic super-exponential Sornette and Andersen (Int J Mod Phys C 13(2):171–188, 2002) bubble model. The calibration of the HMM provides the probability at each time for a given security to be in the bubble regime. Conditional on two assets being qualified in the bubble regime, we then use the transfer entropy to quantify the influence of the returns of one asset i onto another asset j, from which we introduce the adjacency matrix of the SIN among securities. We apply our technology to the Chinese stock market during the period 2005–2008, during which a normal phase was followed by a spectacular bubble ending in a massive correction. We introduce the Net Speculative Influence Intensity variable as the difference between the transfer entropies from i to j and from j to i, which is used in a series of rank ordered regressions to predict the maximum loss (%MaxLoss) endured during the crash. The sectors that influenced other sectors the most are found to have the largest losses. There is some predictability obtained by using the transfer entropy involving industrial sectors to explain the %MaxLoss of financial institutions but not vice versa. We also show that the bubble state variable calibrated on the Chinese market data corresponds well to the regimes when the market exhibits a strong price acceleration followed by clear change of price regimes. Our results suggest that SIN may contribute significant skill to the development of general linkage-based systemic risks measures and early warning metrics.     

Humiliation at Work and Union Interest: An Empirical Analysis of Community Union Satisfaction as Related to Status Enhancement

How noneconomic benefits claimed by labor unions relate to union interest is not well articulated. Based on Torres and Bergner’s (Journal of the American Academy of Psychiatry and the Law, 38, 195–204, 2010; Psychotherapy, 49, 492–501, 2012) analysis of severe public humiliation, in which status enhancement underlies recovery, we examined an augmented relationship between humiliation at work (the underside of dignity at work) and willingness to join a union. As hypothesized, nonunion employees who were less detached from work showed more willingness to join when presented with evidence that members of a union were satisfied with community aspects of membership related to status enhancement above and beyond their satisfaction with economic aspects. Implications for union interest research and applications are discussed.     

Empirical validation of simulated models through the GSL-div: an illustrative application

A major concern about the use of simulation models regards their relationship with the empirical data. The identification of a suitable indicator quantifying the distance between the model and the data would help and guide model selection and output validation. This paper proposes the use of a new criterion, called GSL-div and developed in Lamperti (Econ Stat, 2017.  https://doi.org/10.1016/j.ecosta.2017.01.006), to assess the degree of similarity between the dynamics observed in the data and those generated by the numerical simulation of models. As an illustrative application, this approach is used to distinguish between different versions of the well known asset pricing model with heterogeneous beliefs proposed in Brock and Hommes (J Econ Dyn Control 22(8–9):1235–1274, 1998.  https://doi.org/10.1016/S0165-1889(98)00011-6). Once the discrimination ability of the GSL-div is proved, model’s dynamics are directly compared with actual data coming from two major stock market indexes (EuroSTOXX 50 for Europe and CSI 300 for China). Results show that the model, once calibrated, is fairly able to track the evolution of both the two indexes, even though a better fit is reported for the Chinese stock market. However, I also find that many different combinations of traders’ behavioural rules are compatible with the same observed dynamics. Within this heterogeneity, an emerging common trait is found: to be empirically valid, the model has to account for a strong trend following component, which might either come from a unique trend type that heavily extrapolates information from past observations or the combinations of different types with milder, or even opposite, attitudes towards the trend.     

The economic cost of the Islamic State on the Syrian and Iraqi economies

In this paper, we evaluate the economic cost of the Islamic State on the Syrian and Iraqi economies from 2010 to 2016. To do so, we use the Post-Terrorism Final Economic Damage Simulator—PTFED-Simulator. The PTFED-Simulator assesses the economic damage of terrorism based on ten different indicators: (1) total regional terrorism tension (?T_t); (2) harmonized anti-terrorist strategy (AT₊); (3) war losses from terrorism (?πt); (4) total economic leakage from terrorism (?Ψt); (5) economic desgrowth from terrorism (?δ_t); (6) military dimension of terrorism (MD_t); (7) post-terrorism economic damage (?Π_t); (8) post terrorism economic damage evaluation; (9) post-terrorism reconstruction plan (PTR_t); and (10) terrorism effect on mega-disk networks mapping. Overall, we seek to evaluate the impact of terrorism on economic performance from a multi-dimensional perspective in both the short run and long run.