| To date, most of the work in this area has focused on repurchase intentions as the focal dependent variable. |
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| Least square means yield values of the dependent variable for every level of each factor from an orthogonal decomposition of the information. |
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| The Mann-Whitney U test is appropriate when the independent variable has two levels and the dependent variable is measured on an ordinal scale. |
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| To estimate the experimental success, we calculated a dependent variable according to the following formula. |
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| A separate analysis of covariance was calculated on each dependent variable. |
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| The test confirmed that the relationship between these independent variables and the dependent variable is indeed linear. |
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| These examples of biosocial interactions are unusual in that the psychophysiological variable is the dependent variable. |
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| They allow researchers to study the effects of many independent variables on the dependent variable. |
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| Column 2 is a variant of the model in column 1 with percentage commuting less than 10 km as the dependent variable. |
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| We started with wave form as the dependent variable, and the remaining variables as independent variables. |
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| We also tested for endogeneity between the dependent variable and the explanatory variables. |
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| Lifetime inhalant use was the dependent variable under study. |
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| Multivariate analysis helps to determine the relative influence of all of the various forces that can affect the dependent variable. |
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| In this instance, the concept is primarily understood as a dependent variable, that is, an end result. |
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| Commentators have often asked how the external world influences China and considered it as a dependent variable. |
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| In this model, the dependent variable is the firm's nominal cost of equity in its local currency. |
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| Bivariate analyses involved breaking down the dependent variable according to award groups, within levels of study. |
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| The dependent variable was presence of pH1N1 seropositivity vs. no seropositivity. |
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| A teacher compares the number of students wearing blue with the number of students wearing red. In this scenario, color is the independent variable with the difference in the number of students, categorized by color, being the dependent variable. |
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| A multiple regression analysis was conducted with the dependent variable being the extent of stenosis, and the independent variables being the alexithymia, gender, and age. |
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| Say you are interested in how exercise affects perspiration levels in humans. Your independent variable would be the exercise and the dependent variable would be the level of perspiration. |
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| A dependent variable is a factor or phenomenon that is changed by the effect of an associated factor or phenomenon called the independent variable. |
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| The independent variables were regressed on the dependent variable caring. |
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| The health status variable is the dependent variable in our logit panel regression models. |
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| We use three alternative proxies for the dependent variable. |
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| First of all, the probit model is useful when the dependent variable is binary or limited to two outcomes. |
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| Does that mean that grade inflation is really a dependent variable of diversity? |
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| Data to predict typically are cases with unknown dependent variable values. |
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| The dependent variable is a binary variable,, which represents the phase that city is in at time. |
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| Campa, and I analyze the sensitivity of the results to specification of the dependent variable. |
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| The dependent variable was defined as offering any HHR education including an elective or required course or seminar, or one or more modules of an elective or required course. |
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| Further, it permits stochastic estimation of the views of the latter group and an evaluation of whether the non-response is ignorable for inference about the dependent variable. |
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| In the case of choice experiments, the dataset is typically estimated on the basis of limited dependent variable models, while contingent ranking datasets may be analyzed by censored dependent variable models. |
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| An ordered logit model is one regression technique that can be used to analyze a data set where the dependent variable can only take on discrete values where the order of the values has meaning. |
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| The article from which the above table is drawn undertakes this kind of analysis and concludes that, depending on the health outcome introduced as the dependent variable, the gap is reduced but it does not go away. |
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| It should be noted that modelling rates of change is a statistically demanding exercise, and often gives low levels of explained variation in the dependent variable. |
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| In principle, standard regression techniques require the dependent variable to be continuous rather than discrete and, as a result, cannot be used to examine this question. |
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| The outcome of a meta-analysis is an effect size, which can be interpreted as the estimated effect of the independent variable on the dependent variable. |
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| Unlike the results in the previous sets of regressions using value of exports as the dependent variable, here ATT is larger than ATE in both specifications. |
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| In mathematics, y is commonly used as the name for a dependent variable or unknown. |
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| The dependent variable in the leftmost models is equal to one if the investment is in any of the two or three stage categories. |
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| The dependent variable is a continuous variable. |
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| The dependent variable is the speed of the motorist measured in statute miles per hour. |
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| Each independent variable was regressed on the dependent variable using simple linear regression, and the R-squared values were summated. |
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| The dependent variable, ownership mode, was measured using a dichotomic variable. |
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| Scatterplots of the predicted values of each dependent variable and the standardized residuals provide no evidence of nonlinearity or homoscedasticity. |
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| Because the dependent variable is polytomous in nature, multinomial logistic regression models with random intercepts for school identifiers are used. |
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| The explicative relationships between the variables were studied with a binary logistic regression model, since the dependent variable is a dichotomic variable. |
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| Treatment completion served as the dependent variable and was dichotomously defined using nine different discharge codes contained in client records. |
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