AT&T; Wi-Fi Prompt Reliability 4:02 PM Below is a list of Cronbach\'s alphas for

Question

AT&T; Wi-Fi Prompt Reliability 4:02 PM Below is a list of Cronbach's alphas for a set of variables. Review the alphas and answer questions 11 and 12. Coping: =.67 Neighborhood Belonging: -81 Prior Disaster Exposure: =.60 Community Resilience: =.93 Question 11: Interpret the meaning of Cronbach's alphas. That is, based on these statistics, how would you describe the reliability of these measures? (8 points) each of the Question 12: What type of reliability is being tested with these statistics? Provide a rationale. (5 points)

Explanation / Answer

Cronbach's alpha is the most common measure of internal consistency ("reliability"). It is most commonly used when you have multiple Likert questions in a survey/questionnaire that form a scale and you wish to determine if the scale is reliable. If you are concerned with inter-rater reliability, we also have a guide on using Cohen's () kappa that you might find useful.

Example

A researcher has devised a nine-question questionnaire to measure how safe people feel at work at an industrial complex. Each question was a 5-point Likert item from "strongly disagree" to "strongly agree". In order to understand whether the questions in this questionnaire all reliably measure the same latent variable (feeling of safety) (so a Likert scale could be constructed), a Cronbach's alpha was run on a sample size of 15 workers.

If the Cronbach alpha is greater than 0.75, then we say there is an internal consistency and reliability in measurement. So for neighbourhood belonging and community Resilience we can rely on the scale (measurement) reliability.

Reliability in statistics and psychometrics is the overall consistency of a measure. A measure is said to have a high reliability if it produces similar results under consistent conditions. "It is the characteristic of a set of test scores that relates to the amount of random error from the measurement process that might be embedded in the scores. Scores that are highly reliable are accurate, reproducible, and consistent from one testing occasion to another. That is, if the testing process were repeated with a group of test takers, essentially the same results would be obtained. Various kinds of reliability coefficients, with values ranging between 0.00 and 1.00, are usually used to indicate the amount of error in the scores." For example, measurements of people's height and weight are often extremely reliable.

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