1 / 9

Chapter 15

Chapter 15. Strategies When Population Distributions are Not Normal: Data Transformations and Rank-Order Tests. Assumptions in the Standard Hypothesis-Testing Procedures. Populations follow a normal curve Populations have equal variances Ceiling and floor effects. Data Transformations.

skipper
Télécharger la présentation

Chapter 15

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Chapter 15 Strategies When Population Distributions are Not Normal: Data Transformations and Rank-Order Tests

  2. Assumptions in the Standard Hypothesis-Testing Procedures • Populations follow a normal curve • Populations have equal variances • Ceiling and floor effects

  3. Data Transformations • Data transformation • Square-root transformation

  4. Data Transformations • Legitimacy of data transformations • Kinds of data transformations • Square root transformation • Log transformation • Inverse transformation • Arcsine transformation

  5. Rank-Order Tests • Rank-order transformation • Rank-order tests • Nonparametric tests • Parametric tests

  6. Rank-Order Tests • Basic logic • The null hypothesis • Normal curve approximations • Using parametric tests with rank-transformed data

  7. Comparison of Methods • Advantages and disadvantages • Relative risk of Type I and Type II errors

  8. Controversies and Recent Development • Computer-intensive methods • Randomization tests • Proposed alternative to parametric and nonparametric methods • Widely applicable • Unfamiliar to researchers

  9. Reporting in Research Articles • Data transformations • Described just prior to analyses using them • Rank-order methods • Described much like any other kind of hypothesis test

More Related