What Is Reliability In Psychology Quizlet?

What is the difference between reliability and validity?

Reliability refers to the consistency of a measure (whether the results can be reproduced under the same conditions).

Validity refers to the accuracy of a measure (whether the results really do represent what they are supposed to measure)..

Which type of reliability is the consistency of measurement of two or more raters?

Reliability refers to the consistency of a measure. Psychologists consider three types of consistency: over time (test-retest reliability), across items (internal consistency), and across different researchers (inter-rater reliability).

What does reliability mean?

Reliability is defined as the probability that a product, system, or service will perform its intended function adequately for a specified period of time, or will operate in a defined environment without failure.

What is validity in psychology quizlet?

Validity. a judgement or estimate of how well a test measures what it purports to measure in a particular context.

What is Reliability vs validity?

Reliability and validity are concepts used to evaluate the quality of research. They indicate how well a method, technique or test measures something. Reliability is about the consistency of a measure, and validity is about the accuracy of a measure.

What is reliability in psychology?

The term reliability in psychological research refers to the consistency of a research study or measuring test. … The same analogy could be applied to a tape measure which measures inches differently each time it was used. It would not be considered reliable.

What is reliability quizlet?

Terms in this set (16) Reliability. Defined as the accuracy that a measure has in producing stable, consistent measurements. – Perfectly reliable instrument would produce the same score every time it is administered even if it were administered an infinite number of times. Construct.

What are the 3 types of reliability?

Types of reliabilityInter-rater: Different people, same test.Test-retest: Same people, different times.Parallel-forms: Different people, same time, different test.Internal consistency: Different questions, same construct.

Why is reliability important?

When we call someone or something reliable, we mean that they are consistent and dependable. Reliability is also an important component of a good psychological test. After all, a test would not be very valuable if it was inconsistent and produced different results every time.

How can you improve reliability?

Here are six practical tips to help increase the reliability of your assessment:Use enough questions to assess competence. … Have a consistent environment for participants. … Ensure participants are familiar with the assessment user interface. … If using human raters, train them well. … Measure reliability.More items…•

What does reliability refer to in the context of scientific research?

Reliability refers to a condition where a measurement process yields consistent scores (given an unchanged measured phenomenon) over repeat measurements. Validity: Validity refers to the extent we are measuring what we hope to measure (and what we think we are measuring).

What is the difference between reliability and validity quizlet?

What is the difference between reliability & validity? Reliability: The test measures one and only one thing (precisely). Validity: The test measures what it is supposed to measure.

How reliability is calculated?

MTBF is a basic measure of an asset’s reliability. It is calculated by dividing the total operating time of the asset by the number of failures over a given period of time.

What is a good reliability value?

A general accepted rule is that α of 0.6-0.7 indicates an acceptable level of reliability, and 0.8 or greater a very good level. However, values higher than 0.95 are not necessarily good, since they might be an indication of redundance (Hulin, Netemeyer, and Cudeck, 2001).

What are the characteristics of reliability?

The basic reliability characteristics are explained: time to failure, probability of failure and of failure-free operation, repairable and unrepairable objects. Mean time to repair and between repairs, coefficient of availability and unavailability, failure rate. Examples for better understanding are included.