Confounding: Causal Inferences

Related BrainMass Solutions

• Internal Validity in Research Methods

  The main advantage of the experiment is that the experimenter can randomly assign treatment and remove all the confounding aspects. Internal validity is the ability to make causal conclusions.

• Association to Causation Deriving inferences

  144199 Association to Causation Deriving inferences All of the following are important criteria when making causal inferences except Predictive Value.

• Experimental Methods Designs vs. Descriptive Methods Designs

  This is because internal validity is at the center of all causal or cause-effect inferences.

• Research Methods - field setting

  36182 Research Methods - field setting Which of the following is true for experiments in the field setting _____________ (a) they cannot draw causal inferences (b) they can allow causal inferences (c) they provide only observations of contingencies

• Research Design: Independent and Dependent Variables

  This is done to rule out any confounding variables - or things that could bias the results or make it unusable.

• Increasing Internal Validity can decrease External Validity

  Checking for Internal Validity determines whether "the connection between the independent variable and dependent variable clear and unambiguous to make a causal inference? (Leman, 1991).

• Evaluating Design Choice and Threats to Validity

  The quasi-experimental design was used to suggest causal inferences regarding environmental risks by ruling out specific forms of confounding factors.

• Correlation and Causation

  Unless data have been gathered by experimental means and confounding variables have been eliminated, correlation never implies causation.

• Differences Between Types of Experimental Variables

  What impact does this difference have on causal inferences? Please give and example of each. Responses should be at least 250 words.