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Related Concept Videos

Sample Size Calculation01:19

Sample Size Calculation

Knowledge of the sample size is the first requirement to conduct random sampling or an experiment. The sample size is the total number of units, observations, or groups (in some cases) used to get the data to estimate a population parameter. As the name suggests, the sample size is that of the sample drawn from the population and differs from the population size.
The sample size for the given experiment or sampling effort is fundamental to any study design. Sample size decides the number of...
Contaminants and Errors01:16

Contaminants and Errors

Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
Another key consideration is determining the appropriate number of samples required to...
One-Way ANOVA: Unequal Sample Sizes01:15

One-Way ANOVA: Unequal Sample Sizes

One-way ANOVA can be performed on three or more samples of unequal sizes. However, calculations get complicated when sample sizes are not always the same. So, while performing ANOVA with unequal samples size, the following equation is used:
Sample Proportion and Population Proportion01:20

Sample Proportion and Population Proportion

Collecting samples or responses from an entire population takes significant time and effort, so a researcher collects responses from only a sample of that population. Suppose a study needs to collect information about a specific mobile application. After sample collection, the researcher analyzes the data and discovers that most individuals in the sample use that specific mobile application. The sample proportion measures the number of individuals in a sample who either use or don't use the...
Systematic Sampling Method01:17

Systematic Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
Sampling Methods: Overview01:06

Sampling Methods: Overview

A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
In analytical chemistry, the choice of sampling...

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Sampling Soils in a Heterogeneous Research Plot
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Published on: January 7, 2019

How to calculate sample size and why.

Jeehyoung Kim1, Bong Soo Seo

  • 1Department of Orthopedic Surgery, Seoul Sacred Heart General Hospital, Seoul, Korea. kjhnav@naver.com

Clinics in Orthopedic Surgery
|September 7, 2013
PubMed
Summary
This summary is machine-generated.

Determining the correct sample size is crucial for study efficiency and hypothesis validation. Utilizing pilot data and readily available tools like websites or Excel simplifies this essential early-stage calculation.

Keywords:
Sample size

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Area of Science:

  • Research Methodology
  • Biostatistics

Background:

  • Effective study design necessitates accurate sample size calculation.
  • Underpowered or overpowered studies can lead to wasted resources and inconclusive results.

Purpose of the Study:

  • To highlight the importance of sample size calculation in research.
  • To provide guidance on selecting appropriate methods for sample size determination.
  • To emphasize the accessibility of sample size calculation tools.

Main Methods:

  • Reviewing principles of statistical power and hypothesis testing.
  • Utilizing pilot study data and existing literature for informed decisions.
  • Employing readily available resources such as online calculators and spreadsheet software.

Main Results:

  • Sample size calculation is a fundamental step for cost-effective and conclusive research.
  • Pilot studies and prior research inform hypothesis formulation and sample size estimation.
  • Basic calculation methods are sufficient for many research scenarios, with advanced formulas available for complex designs.

Conclusions:

  • Accurate sample size calculation is vital for research integrity and resource optimization.
  • Leveraging existing data and accessible tools simplifies the sample size determination process.
  • Researchers should prioritize sample size calculation early in the study design phase.