sample size Archives - Page 2 of 2 - The Analysis Factor
This webinar will show you strategies and steps for using simulations to estimate sample size and power. You will learn:
A review of basic concepts of statistical power and effect size
A simulation-based approach to power analysis
An overview of how to implement simulations in various popular software programs.
[Read more…] about Member Training: Power Analysis and Sample Size Determination Using Simulation
Tagged With: ANOVA, effect size, mediation, mixed model, Path Analysis, Power Analysis, quantitative research, sample size, simulation
Today, I would like to briefly describe four misconceptions that I feel are commonly perceived by novice researchers in Exploratory Factor Analysis:
Misconception 1: The choice between component and common factor extraction procedures is not so important.
In Principal Component Analysis, a set of variables is transformed into a smaller set of linear composites known as components. This method of analysis is essentially a method for data reduction.
[Read more…] about Four Common Misconceptions in Exploratory Factor Analysis
Tagged With: common factor analysis, communality, EFA, eigenvalue, Exploratory Factor Analysis, oblique rotation, orthogonal rotation, PCA, principal axis factor analysis, principal component analysis, rotation, sample size, simple structure
Sample size estimates are one of those data analysis tasks that look straightforward, but once you try to do one, make you want to bang your head against the computer in frustration. Or, maybe
Regardless of how they make you feel, they are super important to do for your study before you collect the data.
[Read more…] about Member Training: The Fundamentals of Sample Size Calculations
Tagged With: accuracy, data collection, effect size, sample size, sample size estimates, scientific interest, testing
Member Training: Adjustments for Multiple Testing: When and How to Handle Multiplicity
There are many rules of thumb in statistical analysis that make decision making and understanding results much easier.
Have you ever stopped to wonder where these rules came from, let alone if there is any scientific basis for them? Is there logic behind these rules, or is it propagation of urban legends?
In this webinar, we’ll explore and question the origins, justifications, and some of the most common rules of thumb in statistical analysis, like:
[Read more…] about Member Training: Statistical Rules of Thumb: Essential Practices or Urban Myths?
Tagged With: effect size, reliability, results, rules of thumb, sample size, Statistical analysis
Five things you need to know before learning Structural Equation Modeling
If you already know the principles of general linear modeling (GLM) you are on the right path to understand Structural Equation Modeling (SEM).
As you could see from my previous post, SEM offers the flexibility of adding paths between predictors in a way that would take you several GLM models and still leave you with unanswered questions.
It also helps you use latent variables (as you will see in future posts).
GLM is just one of the pieces of the puzzle to fit SEM to your data. You also need to have an understanding of:
[Read more…] about Five things you need to know before learning Structural Equation Modeling
Tagged With: Missing Values, normality assumption, outliers, sample size, SEM, Structural Equation Modeling
5 Ways to Increase Power in a Study
Sound so simple, right? The reality is that although these 5 ways all work [Read more…] about 5 Ways to Increase Power in a Study
Tagged With: alpha, effect size, one-tailed test, power, random error, sample size