i. What is the joint prediction of return on asset, board size, industry type and ownership structure on environmental qualitative information disclosure of listed consumer and industrial goods companies in Nigeria?
Table 4.2.1: Model Summary of return on asset, board size, industry type and ownership structure combined effect on environmental qualitative information disclosure of listed consumer and industrial goods companies in Nigeria [2012-2017].
-2 Log likelihood Cox & Snell R Square Nagelkerke R Square
153.614 .129 .178
Source: Researcher‘s computation via SPSS version-23.
Table 4.2.1 shows Binomial logistic regression result of Cox-Snell R2 and Nagelkerke R2 values, which are methods of computing the explained variation in the dependent variable. These values are referred to as pseudo R2 values. The explained variation in the dependent variable (socio-environmental qualitative information disclosure) is based on our model ranges from 12.9% to 17.8%; that is, Cox & Snell R2 or Nagelkerke R2 methods, respectively. Our result is based on Nagelkerke R2. This implied that return on asset, (ROA) board size (BZ),industry type (IT) and ownership structure (OWNS) had jointly accounted for 17.8% change in the explained variable-environmental qualitative information disclosure (SEND).Can we conclude that return on assets, board size, industry type (IT) and ownership structure had not significantly predicted the socio-environmental information disclosure? This impelled us to test of hypotheses.
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ii. To what extent do board size, gross profit margin, industry type and firms’ size jointly predict intellectual capital qualitative information disclosure of listed consumer and industrial goods companies in Nigeria?
Table 4.2.2: Model Summary of board size, gross profit margin, industry type and firms’ size joint prediction on intellectual capital qualitative information disclosure of listed consumer and industrial goods companies in Nigeria [2012-2017].
-2 Log likelihood Cox & Snell R2 Nagelkerke R2
156.037 .162 .218
Source: Researcher‘s computation via SPSS version-23.
Table4.2.2 presents Binomial logistic regression results of Cox-Snell-R2 and Nagelkerke-R2 values, which are techniques of computing the explained variation in the explained variable. These values are referred to as pseudo-R2 values. The explained change in the dependent variable (intellectual capital qualitative information disclosure) is based on our model ranges from 16.2% to 21.8%; that is, Cox& Snell-R2 or Nagelkerke-R2 methods, respectively. Our result is based on Nagelkerke-R2. This implied that board size (BZ), gross profit margin (GPM), industry type (IT) and firms‘ size (FZ) had jointly predicted 21.8%
change in the explained variable- intellectual capital qualitative information disclosure (ICAD).Can we presume that the likelihood of risk management information disclosure is not significantly influenced by leverage? This led us to test of hypotheses.
iii. What is the effect of leverage and industry type on risk management qualitative information disclosure of listed consumer and industrial goods companies in Nigeria?
Table 4.2.3: Model Summary of leverage and industry type prediction on risk management qualitative information disclosure of listed consumer and industrial goods companies in Nigeria [2012-2017].
-2 Log likelihood Cox & Snell R2 Nagelkerke R2
155.325 .061 .085
Source: Researcher‘s computation via SPSS version-23.
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Table 4.2.3 presents Binomial logistic regression of Cox-Snell-R2 and Nagelkerke-R2 values, which are procedures of computing the explained variation in the regress and.
These values are referred to as pseudo-R2 values. The explained change in the dependent variable (risk management qualitative information disclosure) is based on our model ranges from 6.1% to 8.5%; that is, Cox& Snell-R2 or Nagelkerke-R2 methods, respectively. Our result is based on Nagelkerke-R2. This connotes that leverage and industry type (IT) had accounted for 8.5% change in the explained variable-risk management qualitative information disclosure. Can we deduce that the prediction of leverage on risk management information disclosure is not significant? This prompted us to test of hypotheses.
iv. To what extent is the prediction of leverage and industry type on economic qualitative information disclosure of listed consumer and industrial goods companies in Nigeria?
Table 4.2.4: Model Summary of leverage and Firm size prediction on economic qualitative information disclosure of listed consumer and industrial goods companies in Nigeria [2012-2017].
-2 Log likelihood Cox & Snell R2 Nagelkerke R2
156.402 .064 .090
Source: Researcher‘s computation via SPSS version-23.
Table 4.2.4 shows Binomial logistic regression result of Cox-Snell-R2 and Nagelkerke-R2 values, which are techniques of determining the explained variation in the explained variable. They are referred to as pseudo-R2. The explained change in the economic qualitative information disclosure is based on our model ranges from 6.4% to 9%; that is, Cox& Snell-R2 or Nagelkerke-R2 methods, respectively. Our result is based on Nagelkerke-R2. This suggests that leverage (LEV) and industry type (IT) had predicted 9% change in the explained variable- socio-economic qualitative information disclosure (SECOD).Can we
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deduce that the prediction of leverage on socio-economic information disclosure is not significant? This stimulated us to test of hypotheses.
v. What is the prediction of leverage and firm size on corporate governance qualitative information disclosure of listed consumer and industrial goods companies in Nigeria?
Table 4.2.5: Model Summary of leverage and firm size joint prediction on corporate governance qualitative information disclosure of listed consumer and industrial goods companies in Nigeria [2012-2017].
-2 Log likelihood Cox & Snell R2 Nagelkerke R2
136.510 .071 .106
Source: Researcher‘s computation via SPSS version-23.
Binomial logistic regression result is presented in Table 4.2.5 with Cox-Snell-R2 and Nagelkerke-R2 values, which are techniques of computing the explained variation in the explained variable. They are referred to as pseudo-R2 values. The explained change in the corporate governance qualitative information disclosure is based on our model ranges from 7.1% to 10.6%; that is, Cox& Snell-R2 or Nagelkerke-R2 methods, respectively. Our result is based on Nagelkerke-R2. This implied that leverage (LEV) and industry type (IT)had predicted 10.6% change in the explained variable-corporate governance qualitative information disclosure.