Sentence examples for a logit regression analysis from inspiring English sources

It uses a purpose-built survey of 1604 firms in the five largest Norwegian city-regions to test, by means of a logit regression analysis, Jensen et al.'s (2007) contention that firm innovation is both the result of 'Science, Technology and Innovation' (STI) and 'Doing, Using and Interacting' (DUI) modes of firm learning.

We use logit regression analysis to determine the probability that a bank will be involved in a merger as an acquirer and as a target based upon the firm's pre-merger characteristics as well as the macroeconomic environment at the time of the merger.

Logit regression analysis is used to show that firms combining the two modes are more likely to innovate new products or services than those relying primarily on one mode or the other.

Due to missing values in the independent variables, the highest number of observations is 275 in the ordered logit regression analysis.

Multilevel logit regression analysis was chosen to address the research questions, given that the dependent variable was a categorical variable with three categories readers with high proficiency, average readers, and readers with low proficiency (Hox [1995]).

Tables 2 and 3 present the results of the logit regression analysis, using the indicated variables.9 Table 2 presents analyses, by the entire sample and by educational level, on how prospective costs of nurturing children impacts childbirth.

Mixed multinomial logit regression analysis will be used to estimate the final results.

Logit regression analysis showed that across age groups, the difference in risk between gambles (see Eq. (3)) affected choice.

Logit regression analysis showed that in both conditions, across participants as well as within each age group, the difference in EV between gambles affected choice.

We used multilevel mixed effects logit regression analysis with the dependent variables: preference to seek medical services (model 1) and preferred time until consultation (model 2) for the assessed case vignette.

Table  4 presents the results of the binary multilevel mixed effects logit regression analysis with the preferred time until consultation as the dependent variable.> -wrap-foot> SE = Standard Error ORR = Odds Ratio; No. observations = 4786; No. individuals = 624; −2 Res Log Pseudo-Likelihood = 27,847.95; Pseudo-AIC = 27,849.95; Pseudo-BIC = 27,854.39.