What is a Sample Size Calculator, and what are best practices, tools and online templates for teams and organizations?
Definition of Sample Size Calculator
A Sample Size Calculator allows you to determine the sample size within a population necessary to test in order to make an accurate assessment without surveying an entire population or testing every single individual within a certain set. The calculator can be used to determine how many individuals need to be interviewed in order to get an accurate reading of how the target population would react to a certain set of stimuli. Sample Size Calculators can also be used to determine how accurate an existing sample is.
Description of Sample Size Calculator
It is important to be able to accurately test and make assumptions about how a certain population will react to a certain piece of content, product, or service. In order to save time and resources, it is important to be able to gather relevant data from a subset of a specific population which is representative of the larger population.
Using a Sample Size Calculator is important because it allows you to quickly calculate the right population size to use to gather a sample data set which will be relevant for your test. For instance, using such a calculator would allow you to determine how many interviews you need to conduct to get accurate results that reflect a target population as precisely as needed.
In order to make the most use of the Sample Size Calculator, it is important to understand two key terms: confidence interval and confidence level.
- Confidence interval: The confidence interval is often referred to as the “margin of error” and it is the plus or minus number reported in the news in relation to public opinion polling. This represents the percentage range of the population that a pollster can be “sure” would answer this way if the entire population was surveyed.
- Confidence level: The confidence level is the level at which one can be sure that the true percentage of the population would pick the answer within the confidence level. This is typically a confidence level between 95% and 99%.
Before using the calculator, it is important to understand exactly what data points influence the output of the sample size calculator. These are:
- Total population size
- Sample size
- Percentages (confidence interval & confidence level)
Once the user understands these concepts, it is possible to plug the relevant data into the calculator and come to an assessment of an estimated sample size for any test, or determine the confidence interval and levels for a predetermined data sample.
Tools & Templates
The tools managers can use to highlight the obstacles presented by the Sample Size Calculator are presentations, spreadsheets, and checklists.
upBOARD's Online Sample Size Calculator Tools & Templates
Unlike most traditional process checklists and problem solving models, upBOARD’s online Sample Size Calculator tool allows any team or organization to instantly begin working with our web templates and input forms. Our digital platform goes far beyond other software tools by including progress dashboards, data integration from existing documents or other SaaS software, elegant intuitive designs, and full access on any desktop or mobile device.
Learn more about upBOARD’s portfolio of other business strategy best practice tools and templates, including:
2 X 2 Matrix, ADL Matrix, Affinity Diagrams, Baker’s 4 Strategies of Influence, Balanced Scorecard, Benchmarking, Blue Ocean Strategy, Bowman Strategy Clock, Build-Measure-Learn Feedback Loop, Business Model Canvas, CAGE Distance Framework, Competitive Analysis, Competitive Landscape Analysis, Contingency Planning, Core Competence Analysis, Critical Success Factors, Discovery Driven Planning, Economic Value Added, First Mover Advantage, Five Forces Model, Force Field Analysis, Gap Analysis, GE McKinsey 9-Box Matrix, Go To Market Strategy, Hambrick & Frederickson’s Strategy Diamond, Hedgehog Model, Hook Model of Behavioral Design, Hoshin Planning System, Kay’s Distinctive Capabilities Framework, Key Outcome Indicators, Kotler’s Five Product Levels Model, Kotler’s Pricing Strategies, Lafley & Martin’s Five Step Strategy Model, McKinsey 7S Model, McKinsey’s Seven Degrees of Freedom for Growth, Mergers & Acquisitions, Mission Statements, Mullin’s Seven Domains Model, OGSM Framework, Ohmae’s 3-C’s Model, Partner Relationship Management, PEST Analysis, PESTLE Analysis, Porter’s Diamond, Portfolio Management, Purpose Statements, Pyramid of Purpose, Scenario Planning, Simonson & Rosen’s Influence Mix, SMART Performance Metrics, SMARTER Goals, SOAR, Strategic Goals, Strategy Map, Strategy Roadmap, Strategy Uncertainty Map, SWOT Analysis, TOWS Matrix, Triple Bottom Line, USP Analysis, Value Chain Analysis, Value Disciplines Model, Value Net Model, Values Statement, Vision Statements, VRIO Analysis, and Weisbord’s Six-Box Model.