Table 2. Output from the multiple ordinal regression models.
Survey items | Accessing coworkers | Sharing information | Awareness of own team | Awareness of other teams | Team identity & cohesion | Spontaneous meetings | Planned meetings | Getting to know people | Concentrating | Working productively | |
---|---|---|---|---|---|---|---|---|---|---|---|
Chi Square | 33.026** | 34.858** | 39.682** | 42.643** | 53.464** | ||||||
p-value | 0.007 | 0.004 | 0.00087 | 0.000 | 0.000 | ||||||
AIC | 498.95 | 592.05 | 625.77 | 621.84 | 619.52 | ||||||
AIC (null) | 499.98 | 594.90 | 633.46 | 632.48 | 640.98 | ||||||
Outdegree | OR | 0.986** | 0.989** | 0.987** | 0.982** | 0.977** | |||||
p | 0.002 | 0.008 | 0.004 | 0.000 | 0.000 | ||||||
Control | OR | 13.161** | 18.731** | 11.054** | 31.935** | 86.055** | |||||
p | 0.004 | 0.001 | 0.005 | 0.000 | 0.000 | ||||||
Seat type: B | OR | 0.380* | |||||||||
p | 0.025 | ||||||||||
Seat type: C | OR | 0.230* | |||||||||
p | 0.038 | ||||||||||
Seat type: D | OR | ||||||||||
p | |||||||||||
Tenure: 3–12 months | OR | ||||||||||
p | |||||||||||
Tenure: 1–2 years | OR | ||||||||||
p | |||||||||||
Tenure: 2–5 years | OR | 0.194* | |||||||||
p | 0.028 | ||||||||||
Tenure: 5–10 years | OR | 0.179* | 0.148* | ||||||||
p | 0.039 | 0.016 | |||||||||
Tenure: >10 years | OR | 0.092** | 0.136* | 0.141* | |||||||
p | 0.007 | 0.031 | 0.043 | ||||||||
Experience: 2–5 years | OR | ||||||||||
p | |||||||||||
Experience: 5–10 years | OR | ||||||||||
p | |||||||||||
Experience: 10–15 years | OR | ||||||||||
p | |||||||||||
Experience: >15 years | OR | 0.222* | |||||||||
p | 0.028 | ||||||||||
Manager | OR | 2.055* | 2.265* | 2.450* | |||||||
p | 0.035 | 0.021 | 0.011 | ||||||||
Non-Engineer | OR | 2.296* | 3.771** | 2.353* | 2.280* | ||||||
p | 0.037 | 0.001 | 0.028 | 0.036 |
The Akaike Information Criterion AIC is reported as a goodness of fit statistic alongside the Model Chi Square. Odds ratios (OR) and p-values are reported for all variables. Seat type A, shortest tenure and experience as well as the role of an engineer were selected as baseline. Insignificant predictors and models are shown in grey. Significant predictors for significant models are shown in bold. Significance levels of p<0.05 are highlighted by * and p<0.01 by**.