testing and assess

Correct response- key

Incorrect responses- distractors

Discrete variable- complex not easily observed. (depression)

Outcome variable- dependent

manipulated=independent variable

Likert scale is - strongly disagree, disagree, agree, strongly agree.

Pain scale- category scale

In a true or false question guess false 

Use median when there are outliers

Enhanced multiple-choice questions are harder than traditional questions ( longer to read, have diagrams, more complex.

When you can't think of a good multiple-choice question what type is the best alternative- true/false

Experiment- cause and effect

level /scale of measurement is used for which statistical test to use

Quantitatively measure- pychological testing 

Calculate mean median 

mode - most frequent

Range highest-lowest

An odd number of Likert options gives you a neutral option- true

Nominal scales- classifies objects by name (eye color)

Ordinal- Labels object by ranks (order)(T-shirt size) (level of agreement, Likert)

Interval- equal distance between options, and no true zero (time, exam score, hours on the clock)

Ratio gallon of ice cream

Dependent variable - This is also known as the “outcome variable” because it depends on the independent variable.

Psychological tests - These are quantitative measures of human behavior.

Consistency of results - Reliability refers to the consistency of test results over time.

The ordinal level is not the lowest; nominal is.

Hair color (brown, blonde, black) - This is an example of nominal scale data.

Level of agreement (Likert) - This is an example of ordinal scale data.

Medals earned at the Olympics (bronze, silver, gold) - This is an ordinal scale.

Income (in dollars) - This is an example of a ratio scale.

Midterm exam scores - This is an example of an interval scale.

Level of agreement (Likert) - This is an example of an interval scale.

Income (in dollars) - This is an example of a ratio scale.

Marital status (single, married, divorced) - This is an example of a nominal scale.

To organize your data - This is a goal of statistics.

Reading level of test takers - This should be considered when writing test questions.