(i) Random assignment of participants to treatment conditions
(ii) Effect on a dependent variable recorded
(iii) Observe placebo effect
(iv) Manipulation of independent variable
(v) Increase attrition
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Experimental Research Design Components
An experimental research design aims to establish cause-and-effect relationships between variables. Key features include manipulating an independent variable and observing its effect on a dependent variable, while controlling other factors.
Core Elements of Experimental Design
- (i) Random assignment: This is crucial for dividing participants into groups (e.g., treatment and control) randomly. It helps ensure groups are comparable at the start, minimizing bias.
- (ii) Effect on a dependent variable recorded: Measuring the outcome (dependent variable) is essential to determine if the manipulation of the independent variable had an effect.
- (iv) Manipulation of independent variable: This is the defining feature of an experiment. The researcher actively changes or manipulates the independent variable to assess its impact.
Analysis of Other Options
- (iii) Observe placebo effect: While important to consider and control for in specific experimental contexts (like clinical trials), observing the placebo effect itself is not a fundamental component required in *all* experimental designs.
- (v) Increase attrition: Attrition (participant dropout) is a potential methodological challenge that can affect the validity of results, but it is not a component actively incorporated into the design itself.
Therefore, the essential elements incorporated in an experimental research design from the given options are random assignment, recording the effect on the dependent variable, and manipulation of the independent variable.
Important Questions from Research Design
- Assertion (A): Due to the experiment of Time, Motion and Fatigue studies, a factory does not remain a factory, it is converted into a laboratory
Reason (R): Management succeeds or fails as human relations in business are intelligently or unintelligently handled Given below are two statements
Statement I An explanatory correlational design explains the degree of association among two or more. variables
Statement II In prediction correlational design, the investigator identifies variables that will positively predict an out come
Choose the correct answer.- Select the option based on the Assertion (A) and Reason (R) :
Assertion (A): Extraneous Variables can influence the results of a research study.
Reason (R): Extraneous variables are not controlled by the researcher. - ____________ is to explore the data without prior hypthesis.
- How many 'three way interactions' can be studied in a $4 \times 3 \times 3$ factorial design ?
