Table 6 Path coefficients of direct effect of exogenous variables on entrepreneurial intuition Path Variables Path Coefficients A Career Adaptability.097** B Ambiguity Tolerance.016 C Need for Achievement.140 D Mentoring Support.114* NB: ** = p < .01; * = p < .05.05
On the other hand, to increase the validity of any process, one must consider a much wider array of relevant variables and use intuition and gut instinct.
Table 1 Multiple Regression Summary Table Showing Predictive Influence of Exogenous Variables On Entrepreneurial Intuition R R2 F Sig β t p Career Adaptability .239 9.423 <.01 Ambiguity Tolerance.417.174 84.68.000 −.020 −.855 >.05 Need for Achievement .146 5.804 <.01 Mentoring Support .177 7.256 <.01.
It indicates the direction, strength and significance level of the exogenous variables (career adaptability, tolerance for ambiguity, need for achievement and mentoring support) and the mediating variable (psychological capital) on entrepreneurial intuition.
Our molecular data, which were rigorously analyzed with phylogenetic methods, contradict species distinctions based upon non-rigorous intuition using highly variable morphological features, and we conclude that our rigorous analyses are more scientifically sound.
Another class of tools uses regression models, generally with CN as the predictor and GE as the response variable, again exploiting the biological intuition concerning the cis-regulatory effect of CN alterations.
In the study of the semantic transparency effect on word intuition agreement, the independent variable is the semantic transparency of words and the dependent variable is the word intuition agreement of these words.
The procedure is based on the intuition that all variables are driven by one latent factor: investor sentiment.
Results of these models will give us an intuition on how variables are related and where do we have to focus for maximum impact.
However, it struggles with some counter examples, in particular cases where the same causal structures and variable assignments nevertheless yield different intuitions about judgments of actual cause (Hiddleston, 2005; Hopkins & Pearl, 2003).
In this paper dimensional analysis is used together with engineering intuition to combine eight primitive variables into only one dimensionless variable that establishes a dynamic similarity between a prototype and its scaled models.
