Reliable results are repeatable; valid results measure what they claim to measure.
Reliability: repeatability and precision (repeat measurements, large samples). Validity: measures the intended variable, controls are in place. Accuracy: closeness to true value.
Repeats show reliability; controls ensure validity. Systematic errors reduce accuracy; random errors reduce precision.
Key idea: precise measurements can still be wrong if there is bias.
Reliable results are repeatable; valid results measure what they claim to measure.
Reliability and Validity is one of the 51 topics in Lab Methods & Biostatistics. It is rated Beginner, so it suits learners who are starting out in biology. Related topics in this area include Sampling, Variables, Standard Deviation.
A thermometer that is consistent but miscalibrated is reliable but not accurate.
Reliability and Validity is a Beginner topic, so no earlier topic is required. Other Beginner topics in Lab Methods & Biostatistics that pair well with it include Scientific Method, Hypothesis, Variables.
The closest topics to Reliability and Validity are Sampling, Variables, Standard Deviation, FRET. Comparing them side by side is a good way to see how the ideas connect.
Read the summary and the in-depth section, then use the quick check on the interactive lesson for Reliability and Validity. To practise the whole of Lab Methods & Biostatistics, use the Lab Methods & Biostatistics quiz.
Reliability and Validity: Reliable results are repeatable; valid results measure what they claim to measure. Sampling: Selecting a representative subset of a population to study using methods such as random quadrats. Read both side by side and note what each one explains.
First, read the summary and write the definition in your own words. Second, read the in-depth section and note any example. Third, compare it with Sampling and explain the difference aloud. Finally, take the Lab Methods & Biostatistics quiz and come back to this page for any question you miss.
Selecting a representative subset of a population to study using methods such as random quadrats.
📊 Lab Methods & BiostatisticsThe independent variable is changed, the dependent variable is measured and controlled variables are kept constant.
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📊 Lab Methods & Biostatistics