Process evaluation and challenges in collecting data from an after-school sports and literacy program in a diverse, low-income community.

BACKGROUND: To understand how programs succeed we must evaluate them. The purpose of this paper was to examine the intervention and evaluation processes and identify areas of success and challenges in delivering and evaluating the Reflective Educational Approach to Character and Health (REACH) after-school program in a low SES community. METHODS: Sixty-six fifth and sixth graders from two schools participated. Data were collected at the intervention and control schools at four time points over the year. Data collected at baseline (Aug/Sep 2016), and Time 4 (May, 2017) were used for the analysis. Reach and fidelity to the intervention were assessed along with information on the process of data collection for variables of interest (e.g., accelerometer-measured physical activity level, FITNESSGRAM tests, vertical jump, and literacy). Missing data were imputed and a 2(School) by 2(Time) mixed factorial ANOVA was performed to examine the efficacy of the intervention. RESULTS: There were no significant time by school interactions for any of the outcomes assessed. There were several challenges in evaluating the program such as low compliance to wearing the accelerometer, lack of effort during literacy tests, peers affecting effort on physical tests, and missing data. CONCLUSIONS: We posit that research implementation be re-examined in community-based research that is conducted with students at the elementary level in low-income communities. Future research should engage with youth in the data collection process to make it a meaningful experience for them and to possibly reduce attrition from the program.

Between-Sex Differences in the Work Sample Test Battery Performed by Law Enforcement Recruits: Implications for Training and Potential Job Performance.

ABSTRACT: Lockie, RG, Beitzel, MM, Dulla, JM, Dawes, JJ, Orr, RM, and Hernandez, JA. Between-sex differences in the work sample test battery performed by law enforcement recruits: implications for training and potential job performance. J Strength Cond Res 36(5): 1310-1317, 2022-Law enforcement officers perform a range of demanding job-specific tasks, and these tasks are the same for all officers, regardless of sex. Female officers tend to be at a physical disadvantage compared with male officers, and this could affect their performance in job-specific tasks. This study investigated the between-sex differences in the work sample test battery (WSTB; duplicates what an officer encounters on-duty) in law enforcement recruits. A retrospective analysis was performed on 308 recruits (259 men and 49 women) from 5 training academy classes. The WSTB incorporated 5 tests: a 99-yard obstacle course (99OC), 165-pound body drag (BD), 6-foot chain link fence (CLF), solid wall (SW) climb, and 500-yard run (500R). These tests were typically performed in the last weeks of academy and must be completed to a state-mandated minimum standard for recruits to graduate. Independent-samples t tests (p < 0.05) and effect sizes (d) calculated between-sex differences. Noting that when individual data were considered, there were male recruits who were outperformed by female recruits. However, on average, female recruits were slower on all WSTB tasks than male recruits (p < 0.01). Large effects were present for the 99OC, CLF, and 500R differences (d = 1.26-1.69), a moderate effect for the BD (d = 0.85), and a small effect for the SW (d = 0.56). Slower performance in job-specific tests could translate to slower performance in tasks required on-duty. Training staff should develop the qualities necessary for WSTB performance in female recruits and underperforming male recruits to enhance future job performance.

Lower-Body Power Relationships to Linear Speed, Change-of-Direction Speed, and High-Intensity Running Performance in DI Collegiate Women's Basketball Players.

Basketball players need to sprint and change direction, and lower-body power (often measured by jump tests) should contribute. How different jumps relate to linear and change-of-direction (COD) speed, and high-intensity running has not been analyzed in Division I (DI) collegiate women's basketballers. Twelve players completed the vertical jump (VJ), two-step approach jump (AppJ), and standing broad jump (SBJ). Average (AvgP) and peak power (PeakP), and PeakP: body mass (P:BM) were derived from VJ height; relative SBJ was derived from SBJ distance. Players also completed: 10 m and ¾ court sprints (linear speed), the pro-agility shuttle (COD speed), and the Yo-Yo Intermittent Recovery Test Level 1 (YYIRT1; high-intensity running). Pearson's correlations (p < 0.05) calculated relationships between the jump and running tests. The AppJ correlated to the ¾ court sprint and pro-agility shuttle (r = -.663 to -.805). AvgP and PeakP correlated to the 10 m sprint, ¾ court sprint, and pro-agility shuttle (r = .589-.766). P:BM and relative SBJ correlated with all running tests (linear and COD speed r = -.620 to -.805; YYIRT1 r = .622.803). The AppJ stresses the stretch-shortening capacities of the legs, and this quality is important for faster linear and COD speed. AvgP and PeakP are influenced by body mass; while larger athletes produce greater power, they also may display slower 10 m sprint and pro-agility shuttle times, and lesser YYIRT1 performance. Strength coaches should ensure players can generate high relative power (i.e. P:BM, relative SBJ) for faster linear and COD speed, and high-intensity running.

Physical Fitness Characteristics That Relate to Work Sample Test Battery Performance in Law Enforcement Recruits.

This study determined relationships between an agency-specific fitness test battery (PT500), and a work sample test battery (WSTB) in law enforcement recruits. Retrospective analysis on 219 males and 34 females from one agency was conducted. The PT500 comprised: push-ups, sit-ups, and mountain climbers in 120 s; pull-ups; and 201 m and 2.4 km runs. The WSTB comprised: 99 yard (90.53 m) obstacle course (99OC); body drag (BD) with a 165 pound (75 kg) dummy; 6 foot (1.83 m) chain link fence (CLF) and solid wall (SW) climb; and 500 yard (457.2 m) run (500R). Partial correlations, controlling for sex, calculated PT500 and WSTB relationships (p < 0.05). Stepwise regression determined whether fitness predicted WSTB performance. The 500R related to all PT500 assessments (r range = -0.127⁻0.574), 99OC related to all bar push-ups and mountain climbers, and BD related to none. The CLF related to sit-ups, pull-ups, and 2.4 km run; SW related to mountain climbers, pull-ups, and 2.4 km run (r range = -0.127⁻-0.315). Push-ups, pull-ups, and 2.4 km run were involved in predictive relationships for 99OC, CLF, SW, and 500R (r² range = 0.217⁻0.500). To perform better in the WSTB and job-specific tasks, developing upper-body strength and aerobic fitness may be beneficial.