Robustness of statistical methods when measure is affected by ceiling and/or floor effect

PONE-D-19-14718

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Please attend to the typos noted by one reviewer.

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Reviewer #1: Yes

Reviewer #2: Yes

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2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #2: Yes

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Reviewer #1: If possible, as written in the attached review report, application of proposed methods on real data sets may be shown.

Reviewer #2: 1. This study investigates the effects of ceiling and/or floor effects on hypothesis testing, such as t-test, F-test, in addition, on estimations of effect sizes and confidence interval, etc. The author presented explicit results and concluded that the presence of CFE results in bias, divergence in estimation and testing after comparing different statistical methods with different data distributions. The uniqueness in this study is the use of measurement theory in defining CFE and using this theory in data generation. This study contributes to the CFE research and is worthy of publication.

2. There are minor typos in the manuscript, please read throughly and correct them , e.g., Line 511, Line 958…

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Reviewer #1: No

Reviewer #2: No

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Submitted filename: SNDwivedi.Plos. One.doc