Informing in-season tactical periodisation in team sport: development of a match difficulty index for Super Rugby

In team sports, tactical periodisation refers to the planned manipulation of training loads with the aim of prioritising athlete readiness for matches of greatest importance. Although monitoring of athletes’ physical condition is often used to inform this planning, the direct influence of external factors on match difficulty has not been well quantified. In this study, a ‘match difficulty index’ (MDI) for use in Super Rugby was developed, based on the influence imparted by five external factors on previous match outcomes. Specifically, information relating to match location, days break between matches, time-zone change and opposition ladder position (both current and previous year) were collected for matches played during the 2011–2013 Super Rugby seasons. Logistic regression analyses were used to assess the importance of each of these factors with respect to match outcome (win/loss), with opposition ladder position and match location (home, domestic away or international) exerting the greatest influence on match difficulty. Three separate cross-validated models were constructed, with match outcome classification performance reported as 66.2%, 65.5% and 63.7% respectively. The three MDI models emanating from this study can each be used to inform tactical periodisation program design both prior to and during the regular season.     

Calculated democracy—Explorations in gerrymandering

This paper describes a lesson centered around a metric for measuring partisan gerrymandering: the efficiency gap. We situate the efficiency gap in the current US political climate, describe the activity itself, and then provide recommendations for readers interested in adapting the lesson for their own classrooms.     

Relations Among Cultural Learning Beliefs,Self‐Regulated Learning,and Academic Achievement for Low‐Income Chinese American Adolescents

This mixed‐methods study of urban low‐income, English‐proficient Chinese American, second‐generation 15‐year‐olds (conducted in 2004; N = 32) examined the relation among the virtue model of learning communicated by parents and adolescents’ learning beliefs, self‐regulated learning (SRL) behaviors, and academic achievement. Analysis of in‐depth individual interviews revealed that for these adolescents, perceptions of family educational socialization predicted students’ endorsement of their culture's virtue‐oriented learning beliefs and that adolescents’ endorsement of these learning beliefs predicted their academic achievement. Importantly, adolescents’ reported that use of SRL strategies mediated the relationship between their endorsement of virtue‐oriented learning beliefs and their academic achievement. Findings are discussed in the context of further research linking cultural learning beliefs, SRL, and children's academic achievement.     

An evaluation of the special needs referral process for low-income preschool children with emotional and behavioral problems

The present study is an evaluation of the special needs referral system in a large urban Head Start program. To assess the validity of this system, two assessments were conducted. The first examined a representative sample of 105 children who were formally referred for special needs services. The Early Intervention Screening Profile (EISP) was used to indicate the distribution of problem behaviors of these special needs children. Two independent raters evaluated all cases. Reliable evaluations revealed that all of the referred children displayed speech and language problems, with 70% showing only speech problems and 30% showing speech plus emotional and behavioral problems. The second assessment examined reports of teachers’ concerns about children program-wide by obtaining a representative sample of 203 children nominated by teachers as most likely to be identified as having special needs. Teachers completed a modified EISP. Results indicated that over 70% of the children evidenced emotional and behavioral problems with no accompanying speech difficulties and 30% displayed emotional and behavioral problems plus speech problems. Implications of referral biases were discussed.     

Preferences for Explanation Generality Develop Early in Biology But Not Physics

One of the core functions of explanation is to support prediction and generalization. However, some explanations license a broader range of predictions than others. For instance, an explanation about biology could be presented as applying to a specific case (e.g., “this bear”) or more generally across “all animals.” The current study investigated how 5‐ to 7‐year‐olds (N = 36), 11‐ to 13‐year‐olds (N = 34), and adults (N = 79) evaluate explanations at varying levels of generality in biology and physics. Findings revealed that even the youngest children preferred general explanations in biology. However, only older children and adults preferred explanation generality in physics. Findings are discussed in light of differences in our intuitions about biological and physical principles.     

Preschoolers Continually Adjust Their Epistemic Trust Based on an Informant's Ongoing Accuracy

Children aged 4–7 years (N = 120) played four rounds of a find‐the‐sticker game. For each round, an informant looked into two cups and made a claim about which cup held a sticker. At the end of each round, children guessed the sticker's location, and then the sticker's actual location was revealed. For three of the rounds, the informant accurately reported the sticker's location. But critically, for one round—either Round 1, 2, or 3—she was inaccurate. Children continually adjusted their trust in the informant as they obtained more information about her accuracy. Relations between the informant's pattern of accuracy and children's trust were robust, neither mediated nor moderated by children inferences about her intent or traits.     

Assessing Measurement Invariance in Multiple-Group Latent Profile Analysis

The study of measurement invariance in latent profile analysis (LPA) indicates whether the latent profiles differ across known subgroups (e.g., gender). The purpose of the present study was to examine the impact of noninvariance on the relative bias of LPA parameter estimates and on the ability of the likelihood ratio test (LRT) and information criteria statistics to reject the hypothesis of invariance. A Monte Carlo simulation study was conducted in which noninvariance was defined as known group differences in the indicator means in each profile. Results indicated that parameter estimates were biased in conditions with medium and large noninvariance. The LRT and AIC detected noninvariance in most conditions with small sample sizes, while the BIC and adjusted BIC needed larger sample sizes to detect noninvariance. Implications of the results are discussed along with recommendations for future research.