Sentence examples for models and variables from inspiring English sources
All of the models and variables are significant at 95%% confidence level (not shown in Table 5).
Research suggests that this method can be appropriate when the research design is consistent by ensuring constant definitions, measurements, models, and variables (Kish 1994).
Firstly, the identification of the different models and variables, such that they can be used in computations, that can lead to consistent and comparable results.
Lastly, lay the foundation for further research especially with regards to the integration of the different models and variables so that they can be measured simultaneously.
We identified ten common issues in SEM applications including strength of causal assumption, specification of feedback loops, selection of models and variables, identification of models, methods of estimation, explanation of latent variables, selection of fit indices, report of results, estimation of sample size, and the fit of model.
Climate change signals in the near-future (2011 2040) are hidden by natural variability and are therefore not significant, in the mid-future (2041 2070) the significance of climate change signals depend on the choice of climate model, and in the far-future (2071 2100) climate change signals are strong across all models and variables.
This is achieved by developing graph theoretic model, matrix models and variable permanent function model.
Bayesian mixed models and variable selection models were used and, based on parameter samples from the model posterior distributions, explained variances were further partitioned at the level of chromosomes and genome segments.
where j is the ID of the least probable CA model and variables with subscript + are the updated variables.
Therefore, one needs to select cautiously the model and variables based on the research goal, the statistical foundation, and the theoretical support.
Following this, we introduce the analytical strategy employed, which is propensity score matching, and move on to describe the data, model and variables used.
