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Table 4 Correlation coefficients, discriminant validity, and reliability of factors

From: Investigating the effect of pharmaceutical logistics service performance on customer satisfaction: a two-step approach with structural equation modeling

Factors IQ OP PCQ PA T OA ODH CH AVE α CR
IQ 0.751         0.564 0.783 0.793
OP 0.241** 0.713        0.508 0.779 0.803
PCQ 0.407** 0.182** 0.765       0.585 0.791 0.807
PA 0.270** 0.101 0.400** 0.679      0.461 0.754 0.769
T 0.189** 0.239** 0.230** 0.053 0.719     0.517 0.708 0.745
OA 0.287** 0.197** 0.304** 0.284** 0.243** 0.778    0.605 0.805 0.819
ODH 0.341** 0.127* 0.256** 0.562** 0.223** 0.210** 0.724   0.524 0.809 0.808
CH 0.345** 0.198** 0.436** 0.335** 0.221** 0.313** 0.410** 0.69 0.477 0.709 0.731
Satis 0.365** 0.191** 0.559** 0.411** 0.303** 0.524** 0.593** 0.606**   0.868  
  1. ** p < 0.01, * p < 0.05 (2-tailed), diagonal numbers represent the square root of average variance extracted (AVE) for each factor
  2. α  Cronbach alpha, CR composite reliability