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Construct Validity

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RESEARCH METHODOLOGY

3.6 Test of Research Instruments

3.6.3 Construct Validity

Table 3.6 (Continued)

Variable Cronbach's Alpha Coefficient

4. Foreign currency exchange risks .586

5. Different language and sociocultural traits .655

Entire Questionnaire Reliability .884

Table 3.7 Results from Confirmatory Factor Analysis of Export Performance (EP)

Variable Factor Loadings Reliability

(R2)

b SE B T

Financial Performance 0.98 0.238 0.57 8.246** 0.327 Non-Financial Performance 1.59 0.483 0.96 2.667** 0.914

= 0, df = 0, p = 1.000, GFI = 1.000, AGFI = 1.000, RMR = 0.000

Note: * Correlation is significant at the 0.05 level (2-tailed) t>1.96 ** Correlation is significant at the 0.01 level (2-tailed) t>2.58

Export Performance

Financial

Non-Financial 0.

Chi-Square = 0.00, df = 0 , P-value = 1.00000, RMSEA=0.000 0.57

0.09 0.67

0.96

Figure 3.1 Results from Confirmatory Factor Analysis of Export Performance

2) Construct Validity of Entrepreneurial Orientation

The entrepreneurial orientation measurement model comprises three components: 1) innovativeness, 2) proactiveness, and 3) risk taking.

Results from the confirmatory factor analysis of entrepreneurial orientation indicate that the entrepreneurial orientation measurement model is consistent with the empirical data with a statistical significance level of .01, which is determined by a 1.170 value chi-square, 0.279 probability (p), and 1 degree of

freedom. That is, the chi-square insignificantly differs from zero. It denotes that the assumption of the entrepreneurial orientation measurement model is consistent with empirical data, as the Goodness of Fit Index (GFI) is equal to 0.997, the Adjusted Goodness of Fit Index (AGFI) equals 0.985, and the Root of Mean Square Residuals (RMR) is 0.150.

The significance of standard components (B) of each observed variable in the entrepreneurial orientation measurement model yields a positive value for all factor loadings, which range from 0.50 to 0.81, and a statistical significance level of 0.01 for all. Components are sorted from the most significant to the least significant, i.e. proactiveness, risk taking, and innovativeness give factor loadings of 0.81, 0.61 and 0.50, respectively, and a joint variation of entrepreneurial orientation component of 64.90 percent, 54.90 percent, and 37.70 percent, respectively. Table 3.8 and Figure 3.2 below reflect those results.

Table 3.8 Results from Confirmatory Factor Analysis of Entrepreneurial Orientation (EO)

Variable Factor Loadings Reliability

(R2)

b SE B T

Innovativeness 0.99 0.269 0.50 10.871** 0.549

Proactiveness 0.72 0.456 0.81 3.479** 0.649

Risk Taking 0.22 0.304 0.61 8.035** 0.377

= 1.170, df = 1, p = 0.27953, GFI = 0.997, AGFI = 0.985, RMR = 0.150

Note: * Correlation is significant at the 0.05 level (2-tailed) t>1.96 ** Correlation is significant at the 0.01 level (2-tailed) t>2.58

Entrepreneurial

Orientation Proactiveness

Risk Taking

Chi-Square = 1.17, df = 1 , P-value = 0.27953, RMSEA=0.024 0.81

0.62 0.35

0.61

Innovativeness 0.75 0.50

Figure 3.2 Results from Confirmatory Factor Analysis of Entrepreneurial Orientation

3) Construct Validity of Internal Export Barriers

The internal export barriers measurement model contains three components: 1) informational barriers, 2) resource barriers, and 3) marketing barriers.

Results from the confirmatory factor analysis of internal export barriers indicate that the internal export barriers measurement model is consistent with the empirical data with a statistical significance level of 0.01, which is determined by a 1.85 value chi-square, 0.173 probability (p), and 1 degree of freedom. That is, the chi- square insignificantly differs from zero. It denotes the assumption that theinternal export barriers measurement model is consistent with empirical data, as the Goodness of Fit Index (GFI) is equal to 0.996, the Adjusted Goodness of Fit Index (AGFI) equals 0.976, and the Root of Mean Square Residuals (RMR) is 0.197.

The significance of standard components (B) of each observed variable in the internal export barriers measurement model yields a positive value for all factor loadings, which range from 0.46 to 0.77, with a statistical significance level of 0.01 for all. Components are sorted from the most significant to the least significant, i.e.

resource barriers, marketing barriers, and informational barriers give factor loadings of 0.77, 0.77 and 0.46, respectively, and a joint variation of internal export barriers component of 59.30 percent, 59.10 percent, and 20.70 percent, respectively. Table 3.9 and Figure 3.3 below reflect those results.

Table 3.9 Results from Confirmatory Factor Analysis of Internal Export Barriers (IEB)

Variable Factor Loadings Reliabili

ty (R2)

b SE B T

Informational Barriers 0.99 0.328 0.46 11.434** 0.207 Resource Barriers 1.50 0.335 0.77 4.604** 0.593 Marketing Barriers 1.20 0.215 0.77 4.628** 0.591

= 1.85, df = 1, p = 0.17326, GFI = 0.996, AGFI = 0.976, RMR = 0.197

Note: * Correlation is significant at the 0.05 level (2-tailed) t>1.96 ** Correlation is significant at the 0.01 level (2-tailed) t>2.58

Internal Export

Barriers Functional

Marketing

Chi-Square = 1.85, df = 1 , P-value = 1.17326, RMSEA=0.053 0.77

0.41 0.41

0.77

Informational 0.79

0.46

Figure 3.3 Results from Confirmatory Factor Analysis of Internal Export Barriers

4) Construct Validity of External Export Barriers

The external export barriers measurement model covers four components: 1) procedural barriers, 2) home governmental barriers, 3) customer and competitor barriers, and 4) external environment barriers.

Results from the confirmatory factor analysis of external export barriers indicate that the external export barriers measurement model is consistent with the empirical data with a statistical significance level of 0.01, which is determined by a 5.82 value chi-square, 0.121 probability (p), and 3 degree of freedom. That is, the chi- square insignificantly differs from zero. It denotes the assumption that theexternal export barriers measurement model is consistent with the empirical data, as the Goodness of Fit Index (GFI) is equal to 0.991, the Adjusted Goodness of Fit Index (AGFI) equals to 0.969, and the Root of Mean Square Residuals (RMR) is 0.293.

The significance of standard components (B) of each observed variable in the external export barriers measurement model yields a positive value for all factor loadings, which range from 0.45 to 0.78, with a statistical significance level of 0.01 for all. Components are sorted from the most significant to the least significant, i.e.

home governmental barriers, external environment barriers, customers and competitors, and procedural barriers give factor loadings of 0.78, 0.63, 0.61, and 0.45, respectively, and a joint variation of external environment barriers component of 60.20 percent, 40.10 percent, 37.20 percent, and 20.60 percent, respectively. Table 3.10 and Figure 3.4 below reflect those results.

Table 3.10 Results from Confirmatory Factor Analysis of External Export Barriers (EEB)

Variable Factor Loadings Reliability

(R2)

b SE B T

Procedural Barriers 0.99 0.330 0.45 11.407** 0.206 Home Governmental Barriers 1.53 0.268 0.78 5.745** 0.602 Customers and Competitors Barriers 1.16 0.236 0.61 9.568** 0.372 External Environment Barriers 0.98 0.156 0.63 9.157** 0.401

= 5.82, df = 3 , p = 0.12053, GFI = 0.991, AGFI = 0.969, RMR = 0.293

Note: * Correlation is significant at the 0.05 level (2-tailed) t>1.96 ** Correlation is significant at the 0.01 level (2-tailed) t>2.58

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