Science, technology, engineering, and mathematics (STEM) programs serving students from low socioeconomic areas are understudied in the literature. More research studies need to be conducted to make informed instructional decisions for students who may be at a disadvantage compared to their peers from higher socioeconomic areas. The purpose of this research study was to determine the effects of traditional science instruction and blended learning on STEM achievement of elementary school students from low socioeconomic areas. Third, fourth and fifth grade students (N = 129) from a low-socioeconomic school were randomly assigned to receive traditional science instruction or a blended learning science curriculum approach. The science, technology, engineering, and mathematics (STEM) achievement scores were analyzed by conducting a one-way two-group Multiple Analysis of Variance (MANOVA) implemented in R statistical computing platform (R Core Team, 2018). The results indicated that the teaching method had a statistically significant effect on the linear combination of the science, technology, mathematics and engineering scores (F(4,124) = 80.27, p < .0001, Pillai’s Trace = .721, partial η2 = .721), in favor of the blended learning approach.

The study aims to examine the mediation effects of physical literacy and physical activity behavior in a relationship between psychological distress and life satisfaction among Chinese college students during the real-life Coronavirus disease pandemic (COVID-19) circumstance. This study implemented a cross-sectional design, and 1,516 participants from 12 universities participated in this study. Structural equation modeling was used to examine a hypothesized model. The findings indicated an acceptable model fit ( X²[61] = 508.2, Comparative Fit Index [CFI] = 0.958, Tucker Lewis Index [TLI] = 0.946, Root Mean Square Error of Approximation [RMSEA] = 0.076, 90% CI [0.070, 0.082], Standardized Root Mean Square Residual [SRMR] = 0.047). The results indicated that college students with low participation in physical activity could experience less than healthy living conditions. The findings offered empirical support to the theory that physical literacy could advance individuals’ healthy living by promoting physical activity participation. The study suggested that educational institutions and physical activity programs should cultivate individuals’ physical literacy in order to promote lifelong healthy living.

Aim: A combination of football becoming highly commercialized, technological advances made, and increasing amounts of data becoming available has made it possible for researchers to conduct statistical analyses of the various aspects of the game with an ultimate focus on determining the key factors for team success. Material and Methods: This quasi-experimental study used an ex-post facto design to develop a model for team success. The sample consisted of 18 teams which played 306 matches in a 9-month long association football league format. A PLS-SEM path analysis was conducted using 11 latent variables. Results: Findings yielded a substantial overall model fit (GoF R 2 =0.811) for the measurement and structural models. The latent variables (LVs) of offense ( β = 0.630, p < .001) and defense ( β = 0.489, p < .001) had statistically significant effects on the LV of success . The exogenous LVs offense and defense predicted 79.9% of the variability of the LV success and its manifest variables. Conclusion: T he defensive ability of a team seemed just as important as the offensive ability for team success in football. This particular conclusion is well aligned with the outcome of various studies conducted by other researchers. For instance, Hughes & Churchill (2004) stated that in their study it appeared that defensive ability of teams to control the opposing team's movements had a significant effect on team success.

Background and Purpose: The purpose of this study was to evaluate Mishel Uncertainty in Illness Scale—Community (MUIS-C), used to gauge level of uncertainty among baby boomers with hepatitis C virus (HCV) infection, as a reliable two-factor instrument.Methods: A CFA was conducted to test MUIS-C. There were minor deviations from normality. Subsequently, 130 participants were used to examine the factor structure and the model fit. A robust maximum likelihood (ML) estimation using the Wishart distribution was implemented in R version 3.3.1.Results: A very good model fit was obtained (χ²(101) = 118.32, p = .115, TLI = 0.977, CFI = 0.983, RMSEA = 0.036, 90%CI(0.000, 0.061), and SRMR = 0.057). All indicators showed significant positive factor loadings, with standardized coefficients ranging from 0.511 to 0.868.Conclusions: The MUIS-C was a reliable two-factor instrument and suitable for use as such in baby boomer population with HCV.