Covariance Analysis/Propensity Score

Hideki Toyoda ()
Additional contact information
Hideki Toyoda: Waseda University, Department of Psychology

Chapter Chapter 20 in Statistics with Posterior Probability and a PHC Curve, 2024, pp 339-360 from Springer

Abstract: Abstract In Chap. 6 , we explored the research theme “Is the ‘New Learning Method’ more effective than the ‘Old Learning Method’?” using an experiment to study the differences between two independent groups. To confirm the effect of a factor through an experiment, it is necessary to conduct a control experiment. A control experiment is an experiment where, apart from the factor whose effect we want to investigate, the state of other conditions is made homogeneous between the experimental group and the control group. Here, the factor whose effect we want to investigate is called the treatmenttreatment. But what if, at the stage of preparing the experimental and control groups, the two groups were not homogeneous from the start? For example, if the experimental group had inherently higher average academic abilities than the control group, the difference in final exam scores might just be a result of the difference in academic abilities of the groups.

Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-97-3094-0_20

Ordering information: This item can be ordered from
http://www.springer.com/9789819730940

DOI: 10.1007/978-981-97-3094-0_20

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().