The purpose of our study was to evaluate the ability of the Theory of Planned Behavior (TPB) to predict African American children’s moderate to vigorous physical activity (MVPA) and cardiorespiratory fitness. Children (N = 548, ages 9–12) completed questionnaires assessing the TPB constructs and MVPA and then had their cardiorespiratory fitness assessed with the Progressive Aerobic Cardiovascular Endurance Run (PACER) test. Commonly used Structural Equation Modeling fit indices suggested the model was an adequate representation for the relationships within the data. However, results also suggested an extended model which was examined and supported. Tests of direct paths from subjective norm and control to intention indicated that both variables were significant predictors of intention. Furthermore, the impact of attitude on intention was mediated by both subjective norm and control. Finally MVPA predicted cardiorespiratory fitness. Most of the standardized path coefficients fell in the small to moderate range, with the strongest effects evident for the predictors of intention and the smallest effect evident for the link from MVPA to cardiorespiratory fitness.
Nonparametric procedures are often more powerful than classical tests for real world data which are rarely normally distributed. However, there are difficulties in using these tests. Computational formulas are scattered throughout the literature, and there is a lack of availability of tables and critical values. The computational formulas for twenty commonly employed nonparametric tests that have large-sample approximations for the critical value are brought together. Because there is no generally agreed upon lower limit for the sample size, Monte Carlo methods were used to determine the smallest sample size that can be used with the respective large-sample approximation. The statistics reviewed include single-population tests, comparisons of two populations, comparisons of several populations, and tests of association.
PURPOSE Our lack of ability to measure healing attributes impairs our ability to research the topic. The specifi c aim of this project is to describe the psychological and social construct of healing and to create a valid and reliable measurement scale for attributes of healing.METHODS A content expert conducted a domain analysis examining the existing literature of midrange theories of healing. Theme saturation of content sampling was ensured by brainstorming more than 220 potential items. Selection of items was sequential: pile sorting and data reduction, with factor analysis of a mailed 54-item questionnaire. Criterion validity (convergent and divergent) and temporal reliability were established using a second mailing of the development version of the instrument. Construct validity was judged with structural equation modeling for goodness of fi t. RESULTSCronbach's α of the original questionnaire was .869 and the fi nal scale was .862. The test-retest reliability was .849. Eigenvalues for the 2 factors were 8 and 4, respectively. Divergent and convergent validity using the SpannFischer Codependency Scale and SF-36 mental health and emotional subscales were consistent with predictions. The root mean square error of approximation was 0.066 and Bentler's Comparative Fit Index was 0.871. Root mean square residual was 0.102. CONCLUSIONSWe developed a valid and reliable measurement scale for attributes of healing, which we named the Self-Integration Scale v 2.1. By creating a new variable, new areas of research in humanistic health care are possible.
The nonparametric Kruskal‐Wallis test is an extension of the Wilcoxon‐Mann‐Whitney test. The null hypothesis is that the k populations sampled have the same average (median). The alternative hypothesis is that at least one sample is from a distribution with a different average (median). This test is an alternative to the parametric one‐way analysis of variance F test.
Objective: Traditional cardiopulmonary resuscitation (CPR) training programs do not target older adults who are most likely to witness private-residence cardiac arrests and do not reliably result in a bystander who is likely to perform CPR in the event of an arrest. This study was performed to compare targeted CPR training programs for older adults (older than 50 years) that 1) increase numbers of CPR-trained bystanders of private-residence cardiac arrest or 2) increase the percentage of trained bystanders of private-residence cardiac arrest who perform CPR. A simultaneous outcome was to estimate the minimal significant survival benefit associated with each of the training programs. Methods: A probabilistic simulation model was developed in Fortran95 that incorporated key out-of-hospital cardiac arrest elements, including witnessed arrests, CPR-trained witness, CPR provision, and impact of CPR on ventricular fibrillation. Input data were derived from published or publicly available data, including a large prospective cohort study of outcomes in Oakland County, MI. Monte Carlo simulation (n = 10,000) and sensitivity analyses (n = 40) were used to assess median and the empiric 95% confidence intervals [CIs] for incremental survival with either intervention. Results: The baseline model, calibrated to the characteristics of the inputdata community, established that, for private-residence cardiac arrests, 40.8% of cardiac arrest bystanders were trained in CPR; however, only 25.7% performed CPR. This yielded 4.81% survival (95% CI = 4.72 to 4.89). Modeling the impact on the baseline training level with increased CPR performance among trainees indicated that 75% of privateresidence trained bystanders would need to perform CPR in order to reach a minimally significant improvement in survival (5.02%; 95% CI = 4.94 to 5.15). Similarly, targeted CPR training that would result in a significant survival benefit (to 5.01%; 95% CI = 4.93 to 5.09) would require that 70.8% of bystanders be trained. Conclusions: CPR training programs that focus on yielding 75% of trainees who perform CPR in the event of witnessing an arrest would have equivalent results to mass CPR training programs that result in 70% of bystanders being trained in CPR. However, the minimal survival benefit associated with these programs (around 0.2%) may prove either method costly with minimal effect.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.