Are results in geomorphology reproducible?

Last Update: May 30, 2022

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Asked by: Meggie Abernathy
Score: 4.1/5 (17 votes)

In geomorphology, formal testing of reproducibility is rare, despite Paola et al. ... Testing reproducibility not only prevents the growth of biased or false data and theories but also tests the robustness of results by assessing the role of experimental conditions upon findings.

Are the results reproducible?

A measurement is reproducible if the investigation is repeated by another person, or by using different equipment or techniques, and the same results are obtained. N.B. "the same" results implies identical, but in reality "the same" means that random error will still be present in the results.

How do you know if a study is reproducible?

The term reproducibility can also be used in the context of the second question: research is reproducible if another researcher actually uses the available data and code and obtains the same results.

What does it mean if results from an experiment are reproducible?

For the findings of a study to be reproducible means that results obtained by an experiment or an observational study or in a statistical analysis of a data set should be achieved again with a high degree of reliability when the study is replicated.

What are measurements that are reproducible?

Reproducibility or reliability is the degree of stability of the data when the measurement is repeated under similar conditions. If the findings of two researchers carrying out the same test (such as the measurement of blood pressure) are very close, the observations show a high degree of interobserver reproducibility.

GCSE Science Subject-specific Vocabulary: 'Repeatable' and 'reproducible'

17 related questions found

How do you calculate reproducibility?

How to Perform Reproducibility Testing
  1. Establish a Goal.
  2. Determine What You Will Test or Measure.
  3. Select a Variable or Condition to Change.
  4. Perform a Test With Variable A.
  5. Perform a Test With Variable B.
  6. Analyze the Results.

Is reproducibility accuracy or precision?

Precision is the degree to which an instrument or process will repeat the same value. In other words, accuracy is the degree of veracity while precision is the degree of reproducibility.

Why should data be reproducible?

Why is data reproducibility important? The first reason data reproducibility is significant is that it creates more opportunity for new insights. This is because you need to make changes to the experiment to reproduce data, still with the aim of achieving the same results.

What does it mean for a study to be reproducible?

Reproducibility is defined as obtaining consistent results using the same data and code as the original study (synonymous with computational reproducibility). ... It is hard to quantify the extent of non-reproducibility or how much of science is reproducible.


What does it mean if data are reproducible but not accurate?

What does it mean if data are reproducible but not accurate? The data can be produced over and over but are not close to the accepted value. The data can be produced over and over but are not close to the accepted value. The table shows results of an experiment that was replicated.

What is the difference between replication and repetition?

Repetition occurs when multiple sets of measurements are made during one scientific investigation. ... Replication occurs when a scientific investigation is reproduced by another person. Repetition is multiple trails, when replication is when you redo the entire experiment.

What is difference between repeatability and reproducibility?

repeatability measures the variation in measurements taken by a single instrument or person under the same conditions, while reproducibility measures whether an entire study or experiment can be reproduced in its entirety.

What makes a study generalizable?

Very simply, generalizability is a measure of how useful the results of a study are for a broader group of people or situations. If the results of a study are broadly applicable to many different types of people or situations, the study is said to have good generalizability.


Why taking repeat readings could provide more accurate data?

You can test reliability through repetition. The more similar repeated measurements are, the more reliable the results. ... However, the entire result of the experiment can be improved through repetition and analysis, as this may reduce the effect of random errors.

Why is it good scientific practice to repeat your measurements at least once?

Measuring a single item or event more than once to eliminate error in measuring. More measurements of a single event lead to greater confidence in calculating an accurate average measurement.

Why are apex experiments repeatable?

They need to be repeatable to prove that results from the expirement are viable, that it didn't just happen because of a series of things outside of the scientists control. Repetition just makes the expirement seem more credible.

Why is coding important for reproducible science?

If your code is automated and well documented, then someone else could run the same analysis on your data and thus build upon your work. Reproducibility in Earth data science encourages sharing of knowledge and techniques so that scientific efforts can build off each other.


Why is it important to ask if a study is reproducible?

Reproducibility is important because it is the only thing that an investigator can guarantee about a study. ... So reproducibility is important not because it ensures that the results are correct, but rather because it ensures transparency and gives us confidence in understanding exactly what was done.

What are the two types of quantitative research?

In general, there are 2 types of quantitative research; exploratory research and conclusive research. Conclusive research consists of descriptive research and causal research.

Why is reproducibility of a study important quizlet?

Why is it important that results of scientific experiments be reproducible? Because of the potential for unseen error from any particular research group, experimental results must be reproducible to be considered valid.

What is reproducibility in data science?

Although there is some debate on terminology and definitions, if something is reproducible, it means that the same result can be recreated by following a specific set of steps with a consistent dataset. ... It also makes it easier for other researchers to converge on our results. The data science lifecycle is no different.


What is the first step in the scientific process?

The first step in the Scientific Method is to make objective observations. These observations are based on specific events that have already happened and can be verified by others as true or false. Step 2. Form a hypothesis.

Which is better accuracy or precision?

Accuracy is something you can fix in future measurements. Precision is more important in calculations. When using a measured value in a calculation, you can only be as precise as your least precise measurement. ... Accuracy and precision are both important to good measurements in science.

What type of error arises from poor precision?

Successive readings are close in value; however, they all have a large error. Poor accuracy results from systematic errors. These are errors that become repeated in exactly the same manner each time the measurement is conducted.

How do you calculate precision?

Precision is a metric that quantifies the number of correct positive predictions made. Precision, therefore, calculates the accuracy for the minority class. It is calculated as the ratio of correctly predicted positive examples divided by the total number of positive examples that were predicted.