2006
DOI: 10.4135/9780857020154
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Understanding and Using Advanced Statistics

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Cited by 110 publications
(91 citation statements)
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“…Overall males seem to be more vulnerable to KSI involvement than females but for both genders those over 70+ years have higher rates of KSI involvement than those aged 60 to 69 years. Conducting loglinear analysis as described by Foster et al (2006) shows that there is a significant downward trend in KSI rates over time and that there is a significant difference between genders (on average female rates were less than 0.45 than males, P = 0.02). In regard to age those in age groups 60-69 and 70+ were significantly less likely to be involved in KSI than those aged 25-59 (on average by 0.44 and 0.09 for the respective age groups 60 to 69 and 70+, P values = 0.03 and 0.04 respectively).…”
Section: Attitudes To Transportmentioning
confidence: 99%
“…Overall males seem to be more vulnerable to KSI involvement than females but for both genders those over 70+ years have higher rates of KSI involvement than those aged 60 to 69 years. Conducting loglinear analysis as described by Foster et al (2006) shows that there is a significant downward trend in KSI rates over time and that there is a significant difference between genders (on average female rates were less than 0.45 than males, P = 0.02). In regard to age those in age groups 60-69 and 70+ were significantly less likely to be involved in KSI than those aged 25-59 (on average by 0.44 and 0.09 for the respective age groups 60 to 69 and 70+, P values = 0.03 and 0.04 respectively).…”
Section: Attitudes To Transportmentioning
confidence: 99%
“…SEMs comprise of two key elements, namely, a measurement model, and a structural model (Kao, Stewart & Lee 2009). The measurement model focuses on how well the latent (hidden) variables are represented by the observed variables (Foster, Barkus & Yavorsky 2006). On the other hand, the structural model uses multiple regression and path analysis to reveal relationships between latent variables (Blunch 2013).…”
Section: Resultsmentioning
confidence: 99%
“…Path analysis is a quantitative graphical technique that extends the ordinary least squares (OLS) regression model to examine the direct and indirect effects of sets of predictor variables (Foster, Barkus, & Yavorsky, 2006). Path analysis allows for the consideration of multiple dependent variables, and the correlations between independent variables are more easily explored (Foster et al, 2006).…”
Section: Methodsmentioning
confidence: 99%
“…School input variables (independent variables) included pupil-teacher ratio (PTR), educational expenditures per capita (EDEX), and student retention rate (RET). Analysis assumed that causal effects were unidirectional with no reciprocal or circular effects (Foster et al, 2006), that residuals were uncorrelated, and that variable relationships were linear. Data analysis used LISREL 8.80 (Jöreskog & Sörbom, 1993).…”
Section: Modelmentioning
confidence: 99%