Data Collection and Hypothesis Testing

These flashcards cover key concepts in data collection errors, hypothesis testing, research ethics, and marketing illusions based on lecture notes.

Inattentive Respondents

Respondents who do not pay attention to survey instructions, as tested by attention checks.

Data Collection Error Types

Categories of errors that can occur during data collection, including sampling and non-sampling errors.

Sampling Error

Errors that occur due to the method of selecting a subset from a larger population.

Casewise Deletion

A method of handling missing values where entire cases with any missing responses are removed.

Null Hypothesis

A statistical hypothesis that states there is no effect or no difference between groups.

Alternative Hypothesis

A hypothesis that suggests there is a meaningful relationship or difference between groups.

Type I Error

An error that occurs when the null hypothesis is true but is incorrectly rejected, known as a false positive.

Type II Error

An error that occurs when the alternative hypothesis is true but the null hypothesis is not rejected, known as a false negative.

SPSS Output Interpretation

The process of analyzing statistical test results, focusing first on the significance value (p-value) to deem results meaningful.

Delboeuf Illusion

A visual illusion in which identical portions of food appear different in size depending on the size of the plate they're served on.

Beneficence in Marketing Research

Principle requiring researchers to minimize possible harm to participants, associated with ethical standards in research.

Justice in Research Ethics

The principle in research ethics concerning fairness and equal treatment of participants.

Attention Checks

Methods used in surveys to verify if respondents are paying attention to the questions being asked.