homogeneous sampling

USAGE SUMMARY

The phrase "homogeneous sampling" is correct and usable in written English.
It is typically used in research and statistical contexts to refer to a sampling method where the sample consists of similar or identical elements. Example: "In our study, we employed homogeneous sampling to ensure that all participants shared the same demographic characteristics."

✓ Grammatically correct

Science

Psychology

Genomics

Human-verified examples from authoritative sources

Exact Expressions

16 human-written examples

Several studies used homogeneous sampling (e.g., Forbush et al. 2013; Morean et al. 2012), whereas others used convenience sampling (e.g., Coker et al. 2011; Flight et al. 2011).

Psicologia: Reflexão e Crítica

Data were re-sampled in order to convert the polar coordinates into Cartesian ones, with homogeneous sampling with resolution 500 m.

EURASIP Journal on Advances in Signal Processing

Quasi-Monte Carlo (QMC) approach is one of the efficient techniques that provides efficient variability analysis via deterministic, and more importantly homogeneous sampling.

Microelectronics Journal

These results allow us to predict that a homogeneous sampling effort will improve the OBIS database and provide more accurate patterns of biodiversity.

Plosone

Then based on the assumption of homogeneous sampling from the entire population of each class, statistical hypothesis test are performed to determine the minimum sample size by using different test statistics.

Plosone

Based on this observed inconsistency, we tested for this particular region, which has the largest latitudinal variation in the continent, whether the expected pattern of biodiversity would have been different from the observed pattern given a homogeneous sampling effort.

Plosone

Human-verified similar examples from authoritative sources

Similar Expressions

44 human-written examples

"Given the extraordinarily homogeneous sample of our subjects, the difference in productivity was unexpectedly striking," it wrote in the latest issue of the University of Warwick's Economic Research Institute journal.

The Guardian

The silver concentration of homogeneous samples ranged between 1 and 21 at.%.

International Journal of Inorganic Materials

For method development, homogeneous samples were prepared with large quantities of the mosses Isothecium myosuroides Brid.

Journal of Chromatography A

Power ultrasound can therefore be suitable for larger scale production of homogeneous samples.

Nanoscale Research Letters

To achieve further dense and homogeneous sample, agglomeration should be avoided.

Materials for Renewable and Sustainable Energy

Expert writing Tips

Best practice

When aiming for "homogeneous sampling", clearly define the characteristics that make your sample uniform to ensure the validity of your research.

Common error

Avoid assuming a sample is "homogeneous" simply because it's convenient. Verify that the key characteristics relevant to your study are genuinely similar across the selected units.

Linguistic Context

The phrase "homogeneous sampling" functions as a noun phrase, typically used to describe a specific method of selecting participants or data points in research. As Ludwig AI confirms, it accurately describes a sampling technique where the elements share similar characteristics. Its use helps researchers control for extraneous variables.

Expression frequency: Uncommon

Frequent in

Science

75%

Psychology

10%

Formal & Business

5%

Less common in

News & Media

5%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "homogeneous sampling" is a noun phrase denoting a specific research methodology focused on uniformity within a sample. Ludwig AI confirms it's grammatically sound and used to minimize variability. Predominantly found in scientific and academic contexts, it serves to ensure that research outcomes are less affected by extraneous factors. While effective for targeted studies, its findings may not generalize broadly. When utilizing this technique, clarity and precision in defining the sample's characteristics are crucial for maintaining research validity. Ludwig AI examples confirm its utility in various scientific disciplines, despite its relatively uncommon usage overall.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

uniform sampling

Focuses on the consistency and evenness of the sample selection process.

consistent sampling

Emphasizes the reliability and stability of the sampling method.

representative sampling

Highlights the degree to which the sample mirrors the population.

stratified sampling

Involves dividing the population into subgroups before sampling.

systematic sampling

Employs a predetermined, regular interval for selecting samples.

probability sampling

Any method of sampling that utilizes some form of random selection.

equal probability sampling

Every member of the population has an equal chance of selection.

unbiased sampling

A sampling method designed to eliminate systematic errors.

randomized sampling

Use of random chance to select a sample from a population.

controlled sampling

Sampling performed under highly regulated conditions to reduce variability.

FAQs

How is "homogeneous sampling" used in research?

"Homogeneous sampling" is used in research to focus on a specific subgroup with similar characteristics, ensuring that the variables under study are less influenced by extraneous factors.

What is the purpose of "homogeneous sampling"?

The purpose of "homogeneous sampling" is to reduce variability within a sample, allowing researchers to investigate specific phenomena more effectively by minimizing the impact of diverse characteristics.

When should I use "homogeneous sampling" versus other sampling methods?

Use "homogeneous sampling" when you want to deeply investigate a particular subgroup's characteristics. If you need a sample that reflects the diversity of a population, consider "random sampling" or "stratified sampling".

What are the limitations of using "homogeneous sampling"?

The main limitation of "homogeneous sampling" is reduced generalizability. Since the sample is highly specific, the findings may not apply to broader populations with different characteristics.