Which of the following are not true for ANCOVA?
A. It uses partial correlation principles.
B. It transforms quasi-experiment into a true experiment.
C. It has two dependent variables.
D. It controls variance at analysis stage.
E. It controls variance at the time of structuring research design.
Choose the correct answer from the options given below:

Correct option is B

The statements B, C & E Only are not true for ANCOVA (Analysis of Covariance). ANCOVA does not have two dependent variables, and it controls variance at the time of structuring the research design, not only at the analysis stage.
Information Booster:
1. ANCOVA (Analysis of Covariance): A statistical technique that combines ANOVA and regression to control for the effects of covariates.
2. Partial Correlation: ANCOVA uses principles of partial correlation to adjust for the influence of covariates.
3. Quasi-Experiment: ANCOVA can help in transforming quasi-experimental designs into more rigorous analyses by controlling for covariates.
4. Dependent Variables: ANCOVA typically involves one dependent variable and one or more covariates.
5. Variance Control: ANCOVA controls for variance both at the design stage and during the analysis.
6. Research Design: ANCOVA is valuable in research designs where controlling for extraneous variables is necessary.
Additional Information:
· Partial Correlation: Helps in isolating the effect of the covariate on the dependent variable.
· Quasi-Experiment: ANCOVA strengthens the validity of quasi-experimental designs.
· Dependent Variables: Focuses on one primary outcome while adjusting for other influencing factors.
· Variance Control: Critical for ensuring accurate and reliable results in experimental research.
Key Points:
· ANCOVA is a powerful statistical tool for controlling covariates and enhancing the validity of research findings.
· Understanding the correct application of ANCOVA helps in designing robust experiments and analyses.
· Distinguishing between true and false statements about ANCOVA clarifies its capabilities and limitations.