Explain Why Students' Faulty Attributions May Be Difficult to Change

question 15

Essay

Explain why students' faulty attributions may be difficult to change.

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Definitions:

Type Errors

Errors made in hypothesis testing where Type I error is rejecting a true null hypothesis, and Type II error is failing to reject a false null hypothesis.

Type I Error

The statistical error that occurs when the null hypothesis is incorrectly rejected when it is actually true.

Type II Error

The error of failing to reject a false null hypothesis, also known as a false negative error.

Test Power

The probability that a statistical test will reject a false null hypothesis, a measure of a test’s effectiveness.