Power Analysis and Survey Design Concepts

These flashcards cover key concepts related to power analysis, experimental design, and survey methodology as discussed in the lecture notes.

Power Analysis

A statistical method used to determine the sample size required for an experiment to detect an effect of a given size with a specified level of confidence.

Effect Size

A measure of the strength of the relationship between two variables or the size of an effect in an experiment.

Alpha (α) Level

The threshold p-value that determines the significance of results, commonly set at 0.05 in hypothesis testing.

Beta (β) Value

The probability of incorrectly failing to reject the null hypothesis, often set to 0.1 or represented as 1 - power.

Attention Check Question

A question included in surveys to ensure that participants are paying attention and following instructions.

Ecological Validity

The extent to which research findings can be generalized to real-world settings.

Internal Reliability

The degree to which different items on a test that measure the same construct produce similar results.

Counterbalancing

A technique used in experimental design to control for the effects of the order of conditions by varying the order in which participants receive them.

Survey Bias

When survey questions lead participants towards a certain response, potentially skewing the results.