Generalized Communicative Suspicion (GCS) Among Police Officers: Accounting for the Investigator Bias Effect1

Research shows that police officers are no more accurate than non‐officers in discerning between truthful and deceptive statements, but more biased than non‐officers to judge statements as deceptive. This was labeled by Meissner and Kassin (2002) as the investigator bias effect. A likely explanation could be that, since officers are normally involved in situations where questioning the truthfulness of the interviewee is essential, they could develop a generalized communicative suspicion (GCS). Levine and McCornack's (1991) GCS scale was adapted to the Spanish context and used to compare the GCS ratings of 152 undergraduates, 88 experienced officers, and 89 police recruits. Experienced officers’ GCS scores were significantly higher than those of the other groups, which did not differ from each other. This suggests that socialization within the police force increases the officers’ suspicion, leading them to make deceptiveness judgments.     

Median decision techniques as an alternative to the classical statistical inference test

In the research area, the criterion to test a hypothesis is frequently the distance of each subject from the mean of the distribution. This concept of distance is constantly used and re-used as a source of evidence in the search for significant contrasts with respect to models of theoretical probability. This paper proposes a number of ideas regarding the use of new distance indicators related to statistics that rely less heavily on parametric assumptions, in particular, the use of median confidence intervals. We have simulated via EXCEL different data samples for a design of two independent groups under 15 different conditions in two different situations: mean equality and mean differences. The results showed the high sensitivity of the comparison of the confidence intervals, especially if a strict decision criterion is used. However, we did not obtain good results for sensitivity. In fact, in some cases, the comparison of the confidence intervals of the mean worked better than those of median.     

The Price of Rights: High School Students' Civic Values and Behaviors

Previous analyses of U.S. civics textbooks documented an overwhelming emphasis on citizen rights to the relative exclusion of citizen obligations and participation. Despite evidence of this uneven coverage, scholars have not yet investigated the psychological and behavioral consequences of this asymmetry, which may be especially consequential in the U.S., a predominantly individualistic culture. The present research does just this by analyzing survey data collected from high school students in civics courses. As expected, and in accordance with the content of civics curricula, students show greater endorsement of rights than of obligations. Moreover, higher support for obligations increases students' intention to vote and to participate in civic and extracurricular activities, whereas endorsement of rights is negatively associated with political participation.     

Exercise motivation in university community members: a behavioural intervention

The purpose of this study was to examine how exercise level, exercise motives, and barriers changed from the baseline phase to the follow-up phase after a behavioural and cognitive intervention aimed at increasing exercise. Seventy-five members of our university community (43 subjects in the control group and 32 in the experimental group), all of whom received cognitive feedback, agreed to complete the baseline phase. Only the experimental group received behavioural feedback and a free-access gym ticket with personal training in order to facilitate their adherence to exercise. The results suggest that a combination of behavioural and psychological techniques is an efficient strategy for increasing exercise level. In addition, the results showed that extrinsic motivation predominates the early stages of change-of-exercise behaviour, and that intrinsic motivation is important for progression towards maintenance. Subjects who decreased their exercise level increased their extrinsic exercise motivation and subjects who increased their exercise level decreased the barriers related to intrinsic motivation. These findings indicate that, in order to facilitate exercise adherence, feedback about motives for undertaking exercise is needed, combined with advice about how to improve physical condition. This combination could help eliminate certain barriers that hinder engaging in an active and healthy life-style.     

Evaluating effects in short time series: alternative models of analysis

In the applied context, short time-series designs are suitable to evaluate a treatment effect. These designs present serious problems given autocorrelation among data and the small number of observations involved. This paper describes analytic procedures that have been applied to data from short time series, and an alternative which is a new version of the generalized least squares method to simplify estimation of the error covariance matrix. Using the results of a simulation study and assuming a stationary first-order autoregressive model, it is proposed that the original observations and the design matrix be transformed by means of the square root or Cholesky factor of the inverse of the covariance matrix. This provides a solution to the problem of estimating the parameters of the error covariance matrix. Finally, the results of the simulation study obtained using the proposed generalized least squares method are compared with those obtained by the ordinary least squares approach. The probability of Type I error associated with the proposed method is close to the nominal value for all values of rho1 and n investigated, especially for positive values of rho1. The proposed generalized least squares method corrects the effect of autocorrelation on the test's power.     

Autocorrelation problems in short time series

The work of Huitema (1985) on autocorrelation in behavioral data suggests that the use of conventional statistical methods is justified. The present study restates the problem of autocorrelation by analyzing 100 baselines of small samples designs published in the Journal of Applied Behavior Analysis during 1992. The results show a negative bias in the autocorrelations, especially with very small samples. The autocorrelation values are normally distributed, and the method of Davies, Trigg, and Newbold (1977) is the most accurate in calculating the standard deviation.     

Evaluation of family structures with figure placement techniques

The relevance of figure placement techniques for analyzing family cohesion and hierarchy structures in various settings is described and the completion of further studies including these instruments is suggested.     

Should we rely on the Kenward–Roger approximation when using linear mixed models if the groups have different distributions?

The study explores the robustness to violations of normality and sphericity of linear mixed models when they are used with the Kenward–Roger procedure (KR) in split‐plot designs in which the groups have different distributions and sample sizes are small. The focus is on examining the effect of skewness and kurtosis. To this end, a Monte Carlo simulation study was carried out, involving a split‐plot design with three levels of the between‐subjects grouping factor and four levels of the within‐subjects factor. The results show that: (1) the violation of the sphericity assumption did not affect KR robustness when the assumption of normality was not fulfilled; (2) the robustness of the KR procedure decreased as skewness in the distributions increased, there being no strong effect of kurtosis; and (3) the type of pairing between kurtosis and group size was shown to be a relevant variable to consider when using this procedure, especially when pairing is positive (i.e., when the largest group is associated with the largest value of the kurtosis coefficient and the smallest group with its smallest value). The KR procedure can be a good option for analysing repeated‐measures data when the groups have different distributions, provided the total sample sizes are 45 or larger and the data are not highly or extremely skewed.     

Academic Plagiarism: Explanatory Factors from Students’ Perspective

The study of academic plagiarism among university students is at an embryonic stage in Spain and in the other Spanish-speaking countries. This article reports the results of a research, carried out in a medium-sized Spanish university, based on a double method approach—quantitative and qualitative—concerning the factors associated with academic plagiarism from the students’ perspective. The main explanatory factors of the phenomenon, according to the results obtained, are: a) aspects and behaviour of students (bad time management, personal shortcomings when preparing assignments, the elevated number of assignments to be handed in, etc.); b) the opportunities conferred by information and communication technologies to locate, copy and paste information; and, finally, c) aspects related to professors-lecturers and/or the characteristics of the subject-course (lecturers who show no interest in their work, eminently theoretical subjects and assignments, etc.).