Most common quantitative causal model

Related BrainMass Solutions

• Research Questions: Three primary types

  Please include discussion of the following items: compare and contrast the three primary types of research questions most often used in quantitative research (I.e., descriptive, relational, and causal) describe best practices or tips for composing

• Forecasting Models

  An example of a time-series model is a company forecasting future sales based on past sales. An explanatory model or a causal model would be using a known factor or factors to predict something else.

• Critiquing the impact of leadership

  From this causal model, the authors organized the published materials they reviewed based on the concepts they included in the model.

• Regression Analysis

  To explore such issues, the investigator assembles data on the underlying variables of interest and employs regression to estimate the quantitative effect of the causal variables upon the variable that they influence.

• Forecasting Methods used by Modern Corporations

  This technique include a) S-curves, such as the Bass model, providing a mathematical model based on a population of innovators and imitators and b) Causal techniques which use regression testing to identify key variables like GDP, mobile penetration and

• Appropriate quantitative forecasting methods

  Box-Jenkins methods: auto-correlation methods used to identify underlying time series and to fit the "best" model.

• Understanding Forecasting models as they apply to products

  houses can be forecasted by using linear regression model of forecasting-a quantitative method of demand forecasting.

• Evaluating A Research Article

  Because of these issues, the concept and model discussed in the article cannot be deemed as evidence-based; there is no evidence to support the model has a test/retest reliability and validity. Reference: Creswell, (2009).

• Different Types of Forecasting Techniques

  Any factors or variables which have the capability of influencing the quantity being forecasted are utilized by the causal model. Qualitative models on the other hand have their basis on a qualitative form of data for a future projection to be made.