Standing Up for the Victim,Siding with the Bully or Standing by? Bystander Responses in Bullying Situations

In this study we examined children's self‐efficacy, outcome expectations, and outcome values in relation to bystander responses in bullying situations. We proposed that beyond the effect of self‐efficacy, the decision to defend the victim of bullying vs. remain passive vs. reinforce the bully depends on outcomes children expect from defending, and on the value they place on these outcomes. Our sample consisted of 6397 Finnish children (3232 girls and 3165 boys) from third, fourth, and fifth grades (mean ages 9–11 years). Results showed that the motivational underpinnings of defending the victim, remaining passive, and reinforcing the bully varied. Defending was associated with the expectation that the victim feels better as a result of defending as well as valuing such an outcome. Reinforcement of bullying was associated with negative expectations and not caring about the positive outcomes. Conflicting expectations and values were linked to remaining passive. Results are discussed in terms of their implications for anti‐bullying interventions.     

Estimating multivariate autoregressive moving average models by fitting long autoregressions

Some simple methods for the estimation of mixed multivariate autoregressive moving average time series models are introduced. The methods require the fitting of a long autoregression to the data and the computation of consistent initial estimates for the parameters of the model. After these preliminaries the estimators of the paper are obtained by applying weighted least squares to a multivariate auxiliary regression model. Two types of weight matrices are considered. Both of them yield estimators which are strongly consistent and asymptotically normally distributed. The first estimators are also asymptotically efficient while the second ones are not fully efficient but computationally simple. A simulation study is performed to illustrate the behaviour of the estimators in finite samples.     

A specification strategy for order determination in arma models

In this paper a specification strategy is proposed for the determination of the orders in ARMA models. The strategy is based on two newly defined concepts: the q-conditioned partial auto-regressive function and the p-conditioned partial moving average function. These concepts are similar to the generalized partial autocorrelation function which has been recently suggested for order determination. The main difference is that they are defined and employed in connection with an asymptotically efficient estimation method instead of the rather inefficient generalized Yule-Walker method. The specification is performed by using sequential Wald type tests. In contrast to the traditional testing of hypotheses, these tests use critical values which increase with the sample size at an appropriate rate     

The impact of quasi-markets on processes and factors affecting the costs of contracting

The aim of this paper is to ascertain the impact of quasi-markets on contracting processes and factors affecting the costs of contracting in Finnish health care in the specific case of laboratory services. By means of a comparative case analysis, we ascertained the changes in organizational contracting practices and identified the actions affecting the transaction costs of contracting in the case of an autonomous municipal enterprise laboratory compared with the same laboratory as a hierarchically run municipal unit. The research was conducted during the years 2007–2011. The results suggest that introducing quasi-markets into laboratory services increased the cost factors of contracting; and had a negative impact on the laboratories’ willingness to create new market relationships.     

The effect of objective job demands on registered sickness absence spells; do personal,social and job-related resources act as moderators?

Abstract

This study applied Karaseks demand-control model, using sense of coherence (SOC), social support and job control as moderators of effects of job demands on ensuing sickness absence spells in a 3-year follow-up of 856 municipal employees. Among men the results supported the active learning hypothesis. Passive jobs predicted a high number of sickness absence spells and active jobs predicted a low number of spells. for short spells (1-3 days), the demand-control interaction, however, depended on SOC. In active jobs SOC was negatively associated with sickness absence spells; in passive jobs no such association was found. For long spells (3 days), the demand-control interaction depended on occupational level; active jobs were predictive of low absence spells among blue collar men. Among women, the results supported the strain hypothesis. The demand-control interaction, however, depended on household size. In small households, high-strain jobs predicted a high number of spells, while no increase in spells was found in active versus low-strain jobs. In larger households, the number of spells correlated positively with increasing demands even when control was good. The demand-control interaction, however, depended on SOC and spouse support. With strong SOC or spouse support, absence spells in active jobs remained on a relatively low level, otherwise active jobs led to a high number of spells. This suggests that SOC and spouse support may act as protective factors against female role conflicts associated with active jobs     

Cooperation governance mode: an extended transaction cost approach

This paper analyses the cooperation governance mode and possible factors affecting the choice between an equity joint venture and a contractual agreement. Although transaction cost economics (TCE) provides a workable and well-used framework within which to analyse this choice, it only captures the static transaction costs related to the two modes. This has lead to a discussion about dynamic governance costs and possible benefits related to the governance mode. The objective of this paper is to show how this extended framework differs from TCE when determining the appropriate governance mode. We use four factors related to nature of cooperation to contrast these two approaches. We collected empirical data about cooperation in the information and communications technology (ICT) sector in order to find support for these arguments. Estimates based on logistic regression analysis suggest that our dynamic governance cost and benefit perspective really provides valuable complementary insights into the traditional static transaction-cost framework when it is a question of the choice of alliance form.     

An efficient method for the estimation of multivariate moving averge models

Durbin's (1959) efficient method for the estimation of univariate moving average models is generalized to the vector case. Strong consistency and asymptotic normality of the estimator is proved. A simulation experiment is performed to illustrate the behaviour of the method in finite samples.     

Assessment of Ecological Risks at Former Landfill Site Using TRIAD Procedure and Multicriteria Analysis

Old industrial landfills are important sources of environmental contamination in Europe, including Finland. In this study, we demonstrated the combination of TRIAD procedure, multicriteria decision analysis (MCDA), and statistical Monte Carlo analysis for assessing the risks to terrestrial biota in a former landfill site contaminated by petroleum hydrocarbons (PHCs) and metals. First, we generated hazard quotients by dividing the concentrations of metals and PHCs in soil by the corresponding risk‐based ecological benchmarks. Then we conducted ecotoxicity tests using five plant species, earthworms, and potworms, and determined the abundance and diversity of soil invertebrates from additional samples. We aggregated the results in accordance to the methods used in the TRIAD procedure, conducted rating of the assessment methods based on their performance in terms of specific criteria, and weighted the criteria using two alternative weighting techniques to produce performance scores for each method. We faced problems in using the TRIAD procedure, for example, the results from the animal counts had to be excluded from the calculation of integrated risk estimates (IREs) because our reference soil sample showed the lowest biodiversity and abundance of soil animals. In addition, hormesis hampered the use of the results from the ecotoxicity tests. The final probabilistic IREs imply significant risks at all sampling locations. Although linking MCDA with TRIAD provided a useful means to study and consider the performance of the alternative methods in predicting ecological risks, some uncertainties involved still remained outside the quantitative analysis.