Determinants of Strategy Implementation in Administration Police in Kenya: A Case of Coast Region Quantitative data were analyzed using SPSS. The study conducted various tests including normality test, multicollinearity, stationarity, heteroscedasticity and ... I Buya 被引量: 0发表: 2019年 Detection an...
(3) When multicollinearity is between 0.4 and 0.5, Type II error rates tend to be quite small, except when reliability is weak, R2 is low, and sample size is small, in which case error rates can still be high (greater than 50%). Methods for de... 展开 关键词: measurement error ...
Farrar D, Glauber R: Multicollinearity in regression analysis: the problem revisited. Rev Econ Stat. 1967, 49 (1): 92-107. 10.2307/1937887. Article Google Scholar Margolis AD, Joseph H, Belcher L, Hirshfield S, Chiasson MA: 'Never testing for HIV' among men who have sex with men recr...
The multicollinearity test among independent variables was examined as tolerance and variance inflation factors, and the interdependence among residuals, was examined using the Durbin–Watson statistic. All analyses were performed using the SPSS Statistics 20 software (IBM, Armonk, NY, USA)....
(2013). Automated Check-In and Scheduling System for a Web-Based Testing Application. All Graduate Plan B and other Reports. 288. https://digitalcommons.usu.edu/gradreports/288 Larson-Hall, J. (2010). A guide to doing statistics in second language research using SPSS. Routledge. Google ...
The multicollinearity of the variables was checked by examining the variance of inflation factors, which was < 2.0. The logistic regression model was fitted by considering whether the respondents had been tested for HIV or not, with responses dichotomized by assigning “1” for tested and “...
The assumptions of EFA were checked. No variables deviated from normality, as the values for both skewness and kurtosis fell within an acceptable range of −2 to 2. Pearson’s correlations between the variables ranged from .56 to .84, indicating that multicollinearity was not a problem. Fina...
Thus, there were no multicollinearity issues in this analysis. The Durbin–Watson test yielded a value of 1.51, indicating an acceptable value close to zero for autocorrelation. We tested the significance (p-value) of the model to examine whether the model was significantly different from a null...
To assess potential issues with multicollinearity, a linear regression analysis was conducted using SPSS software. The variance inflation factor (VIF) of coworker incivility was 3.238, workplace loneliness was 3.221, and resilience was 1.081. Furthermore, when workplace loneliness was adopted as a me...
Autocorrelation was checked via the Durbin–Watson statistic; no multicollinearity was detected, and the residuals showed homogeneity of variance. A significance level of p < 0.05 was applied, and the effect size R2 is reported. Statistical analyses were computed using the Statistical Package for ...