# Research on the Influence of Anxiety Psychology on Unsafe Behavior Among Construction Workers
## 4 Model Validation and Result Analysis
### Analysis of Variance  
Analysis of Variance (ANOVA) evaluates the normal distribution of collected data to determine the significant effects of factors on experimental indicators. This study employed one-way ANOVA to analyze the influence of demographic characteristics (gender, career age, educational background, work experience, and anxiety level) on anxiety psychology and unsafe behaviors. Results are presented in Table 6. A statistically significant difference between variables is confirmed when the F-statistic and \(p\)-value fall below the 0.05 significance threshold.  
As shown in Table 6, gender exerted a significant effect on construction workers' anxiety psychology (\(p\) < 0.05), with female workers exhibiting higher anxiety levels than  
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**Constructs**} & \multirow{2}{*}{**Variable**} & \multicolumn{4}{c}{**Ave**} & \multirow{2}{*}{**F**} & \multirow{2}{*}{**_p_**} \\ \cline{3-3} \cline{5-7}  & & **A** & & & & \\ \hline \multirow{2}{*}{Gender} & Anxiety psychology & 2.52 & 2.86 & / & / & 10.324 & 0.001 \\  & Unsafe behaviors & 3.22 & 3.01 & / & / & 2.151 & 0.201 \\ \hline \multirow{2}{*}{Age} & Anxiety psychology & 2.43 & 2.76 & 2.88 & 2.65 & 11.438 & 0.005 \\  & Unsafe behaviors & 3.35 & 3.56 & 3.77 & 3.84 & 15.146 & 0.004 \\ \hline \multirow{2}{*}{Educational background} & Anxiety psychology & 2.34 & 2.53 & 2.66 & 2.89 & 11.915 & 0.002 \\  & Unsafe behaviors & 3.73 & 3.63 & 3.55 & 3.34 & 15.355 & 0.003 \\ \hline \multirow{2}{*}{Experience} & Anxiety psychology & 2.75 & 2.68 & 2.52 & 2.50 & 10.825 & 0.003 \\  & Unsafe behaviors & 3.44 & 3.13 & 3.08 & 3.21 & 2.615 & 0.201 \\ \hline \multirow{2}{*}{Level of anxiety} & Anxiety psychology & 2.35 & 3.44 & 3.56 & 4.62 & 12.131 & 0.001 \\  & Unsafe behaviors & 2.14 & 3.33 & 3.54 & 4.81 & 2.615 & 0.001 \\ \hline \hline \end{tabular}  
* A = Male; B = Female.  
\end{table}
Table 6: Analysis of anxiety and unsafe behavior of construction workers of demographic characteristics (N = 263).  
\begin{table}
\begin{tabular}{c c c} \hline \hline
**Variable** & **Item** & **Unsafe Behaviors** \\ \hline \multirow{3}{*}{Anxiety Psychology} & Pearson correlation & 0.489 ** \\  & Significance (two-tailed) & 0.002 \\  & Number of cases & 263 \\ \hline \multirow{3}{*}{Organizational Climate} & Pearson correlation & \(-\)0.472 ** \\  & Significance (two-tailed) & 0.002 \\  & Number of cases & 263 \\ \hline \multirow{3}{*}{Safety Competency} & Pearson correlation & \(-\)0.442 ** \\  & Significance (two-tailed) & 0.003 \\  & Number of cases & 263 \\ \hline \multirow{3}{*}{Job Satisfaction} & Pearson correlation & \(-\)0.413 ** \\  & Significance (two-tailed) & 0.002 \\  & Number of cases & 263 \\ \hline \end{tabular}  
* Significance level is \(p\) < 0.001.  
\end{table}
Table 5: Correlation analysis between various dimensions of anxiety psychology and unsafe behavior of construction workers.  
their male counterparts in both daily life and work contexts. However, no significant gender-based differences were observed in unsafe behaviors (\(p>0.05\)). Work experience significantly influenced anxiety psychology (\(p<0.05\)) but showed no statistically significant association with unsafe behaviors (\(p>0.05\)). Additionally, career age, educational background, and anxiety level demonstrated significant impacts on both anxiety psychology and unsafe behaviors (\(p<0.05\)), indicating their critical roles in shaping psychological and behavioral outcomes.