Types of Research Designs
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Questions and Answers

What is the primary goal of experimental design?

  • To measure the relationship between two variables
  • To establish causality (correct)
  • To identify associations between variables
  • To observe the effects of pre-existing characteristics

In which type of research design are participants usually randomly assigned to different groups?

  • Observational design
  • Experimental design (correct)
  • Correlational design
  • Quasi-experimental design

What distinguishes quasi-experimental design from experimental design?

  • The manipulation of an independent variable
  • The measurement of the relationship between two variables
  • The use of pre-existing characteristics or circumstances to form groups (correct)
  • The observation of dependent variables

Which type of research design measures the relationship between two variables without establishing causality?

<p>Correlational design (A)</p> Signup and view all the answers

What is the main difference between experimental design and correlational design?

<p>Manipulation of an independent variable (C)</p> Signup and view all the answers

Study Notes

Research Design: Goals and Types

  • The primary goal of experimental design is to establish causality between variables.
  • Participants are usually randomly assigned to different groups in an experimental research design.

Quasi-Experimental Design vs. Experimental Design

  • The key difference between quasi-experimental design and experimental design is that participants are not randomly assigned to groups in quasi-experimental design.

Correlational Design

  • Correlational design measures the relationship between two variables without establishing causality.

Experimental Design vs. Correlational Design

  • The main difference between experimental design and correlational design is that experimental design establishes causality, whereas correlational design does not.

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Description

Learn about different types of research designs, including experimental design, and their importance in obtaining valid and reliable results. Understand the decisions involved in collecting, analyzing, and interpreting data to address specific research questions or test hypotheses.

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