Number of options in a movement sequence affects learners' behavior in a self-controlled practice condition

Self-controlling practice implies a process of decision making, which suggests that the options in a self-controlled practice condition could affect learners. The number of task components with no fixed position in a movement sequence may affect the way learners self-control their practice. A 200-cm coincident timing track with 90 light-emitting diodes (LEDs)--the first and the last LEDs being the warning and the target lights, respectively--was set so that the apparent speed of the light along the track was 1.33 m/sec. Participants were required to touch six sensors sequentially, the last one coincidently with the lighting of the target light (timing task). Group 1 (n = 55) had only one constraint, and were instructed to touch the sensors in any order, except for the last sensor which had to be the one positioned close to the target light. Group 2 (n = 53) had three constraints: the first two and the last sensor to be touched. Both groups practiced the task until timing error was less than 30 msec. on three consecutive trials. There were no statistically significant differences between groups in the number of trials needed to reach the performance criterion, but (a) participants in Group 2 created fewer sequences compared to Group 1, and (b) were more likely to use the same sequence throughout the learning process. The number of options for a movement sequence affected the way learners self-controlled their practice, but had no effect on the amount of practice to reach criterion performance.     

Statistical requirements for properly investigating a null hypothesis

Issues involved in the evaluation of null hypotheses are discussed. The use of equivalence testing is recommended as a possible alternative to the use of simple t or F tests for evaluating a null hypothesis. When statistical power is low and larger sample sizes are not available or practical, consideration should be given to using one-tailed tests or less conservative levels for determining criterion levels of statistical significance. Effect sizes should always be reported along with significance levels, as both are needed to understand results of research. Probabilities alone are not enough and are especially problematic for very large or very small samples. Pre-existing group differences should be tested and properly accounted for when comparing independent groups on dependent variables. If confirmation of a null hypothesis is expected, potential suppressor variables should be considered. If different methods are used to select the samples to be compared, controls for social desirability bias should be implemented. When researchers deviate from these standards or appear to assume that such standards are unimportant or irrelevant, their results should be deemed less credible than when such standards are maintained and followed. Several examples of recent violations of such standards in family social science, comparing gay, lesbian, bisexual, and transgender families with heterosexual families, are provided. Regardless of their political values or expectations, researchers should strive to test null hypotheses rigorously, in accordance with the best professional standards.     

Sweden: income and suicide

Previous publications have reported two conflicting patterns describing the relationship between income and suicide in Sweden; positive and negative. Methodologically the studies have differed, and the analysis has been limited to a few areas. To better understand the relationship, a nationwide, cross-sectional, ecological study of the 290 municipalities in Sweden was planned. OLS regression analyses showed the overall and female suicide rates were negatively related to income, while the effect on male suicide rates was not statistically significant. The results confirm earlier findings of a negative relationship between income and suicide.     

The impact of omitting the interaction between crossed factors in cross‐classified random effects modelling

Cross‐classified random effects modelling (CCREM) is a special case of multi‐level modelling where the units of one level are nested within two cross‐classified factors. Typically, CCREM analyses omit the random interaction effect of the cross‐classified factors. We investigate the impact of the omission of the interaction effect on parameter estimates and standard errors. Results from a Monte Carlo simulation study indicate that, for fixed effects, both coefficients estimates and accompanied standard error estimates are not biased. For random effects, results are affected at level 2 but not at level 1 by the presence of an interaction variance and/or a correlation between the residual of level two factors. Results from the analysis of the Early Childhood Longitudinal Study and the National Educational Longitudinal Study agree with those obtained from simulated data. We recommend that researchers attempt to include interaction effects of cross‐classified factors in their models.     

Content Analysis of the Journal of Counseling & Development: Volumes 74 to 84

A content analysis of the research published in the Journal of Counseling & Development (JCD) was conducted for Volumes 74 (1996) through 84 (2006). Frequency distributions were used to identify the most published authors and their institutional affiliations, as well as some basic characteristics (type of sample, gender, and ethnicity) of the study samples. Results are compared with 2 previous content analyses (D. M. Pelsma & J. P. Cesari, 1989; M. E. Williams & W. C. Buboltz, 1999).     

Risk and Religion: Toward a Theology of Risk Taking

Historically the concept of risk is rooted in Renaissance lifestyles, in which autonomous agents such as sailors, warriors, and tradesmen ventured upon dangerous enterprises. Thus, the concept of risk inseparably combines objective reality (nature) and social construction (culture): Risk = Danger + Venture. Mathematical probability theory was constructed in this social climate in order to provide a quantitative risk assessment in the face of indeterminate futures. Thus we have the famous formula: Risk = Probability (of events) × the Size (of future harms). Because the concept of harm is always observer relative, however, risk assessment cannot be purely quantitative. This leads to the question, What are the general conditions under which risks can be accepted? There is, after all, a difference between incurring a risk and bearing the costs of risks selected for by other agencies. Against this background, contours of a theology of risk emerge. If God creates a self‐organizing world of relatively autonomous agents, and if self‐organization is favored by cooperative networks of autopoietic processes, then the theological hypothesis of a risk‐taking God is at least initially plausible. Moreover, according to the Christian idea of incarnation, God is not only taking a risk but is also bearing the risks implied by the openness of creation. I thus argue for a twofold divine kenosis—in creation as well as in redemption. I discuss some objections to this view, including the serious counterargument that risk taking on behalf of others remains, even for God, a morally dubious task. What are the conditions under which the notion of a risk‐taking God can be affirmed without leaving us with the picture of God as an arbitrary, cosmic tyrant? And what are the practical implications for the ways in which human agents of faith, hope, and love can learn to cope with the risks of everyday life and of political decisions?     

Religiosity, Religious Doubt, and the Need for Cognition: Their Interactive Relationship with Life Satisfaction

Previous research has found a consistent, negative relationship between holding religious doubts and mental well-being, and a small positive relationship between religiosity and mental well-being. To assess the interrelationship between religious doubt, religiosity, and need for cognition on life satisfaction, a survey was administered to an almost exclusively Christian sample of 192 Americans drawn from undergraduates and alumni of a small mid-western college, undergraduates from a small south-eastern college, and several churches from the metro-Detroit area. Zero-order correlations revealed relationships between religiosity and life satisfaction, as well as religious doubt and life satisfaction. Hierarchical multiple regression analyses revealed that the three-way interaction of religiosity, religious doubt, and the need for cognition was predictive of life satisfaction. Significant two-way interactions also emerged for both gender and religiosity, and gender and religious doubt as predictors of life satisfaction. Based upon these findings, counseling applications are discussed, and the importance of probing for interactions in research on religious influences on well-being is espoused. Portions of this research were presented at the 2004 Annual Convention of the American Psychological Association, Honolulu, HI.     

Responses to the Stigmatized: Disjunctions in Affect, Cognitions, and Behavior

This study examined affective, cognitive, and behavioral responses to members of a stigmatized group – homosexual men. Male participants were placed in a situation in which they anticipated interacting with a gray or a non-stigmatized conversation partner. The topic of the impending conversation was either potentially threatening or non-threatening. Participants in the gay conversation partner condition sat either farther away from the conversation partner (in the threat condition) or closer to the conversation partner (in the no-threat condition) than they did from non-stigmatized conversation partners. There were no differences in attitudes toward the conversation partner as a function of experimental condition. The results were interpreted in terms of predictions based on ambivalence-amplification theory, aversive racism theory, and the integrated threat theory.     

Evaluating the Factor Structure and Internal Consistency Reliability of the Therapeutic Reactance Scale

Psychological reactance is an important construct for social scientists. The measure most often used to tap psychological reactance is the Therapeutic Reactance Scale (TRS; E. T. Dowd, C. R. Milne, & S. C. Wise, 1991). However, little research to date has examined the psychometric properties of the TRS. Eight hundred and eighty‐three individuals completed the TRS, and their responses were factor analyzed. Evidence indicates that psychological reactance is a multidimensional phenomenon. As currently written and interpreted however, the TRS is unable to accurately measure these multiple dimensions.