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Member Training: Confusing Statistical Terms

by guest contributer 

Learning statistics is difficult enough; throw in some especially confusing terminology and it can feel impossible! There are many ways that statistical language can be confusing.

Some terms mean one thing in the English language, but have another (usually more specific) meaning in statistics.  [Read more…] about Member Training: Confusing Statistical Terms

Tagged With: ancova, association, confounding variable, confusing statistical terms, Correlation, Covariate, dependent variable, Error, factor, General Linear Model, generalized linear models, independent variable, learning statistics, levels, listwise deletion, multivariate, odds, pairwise deletion, random error, selection bias, significant

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Confirmatory Factor Analysis: How To Measure Something We Cannot Observe or Measure Directly

by guest contributer  Leave a Comment

by Christos Giannoulis, PhD

Many times in science we are intrigued to measure an underlying characteristic that cannot be observed or measured directly. This measure is hypothesized to exist to explain variables, such as behavior, that can be observed.

The measurable variables are called manifest variables. The unmeasurable are called latent variables.

Latent variables are often called factors, especially in the context of factor analysis.

[Read more…] about Confirmatory Factor Analysis: How To Measure Something We Cannot Observe or Measure Directly

Tagged With: CFA, Confirmatory Factor Analysis, EFA, Error, Exploratory Factor Analysis, latent variable, manifest variable, measurement, random error, True Score

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  • One of the Many Advantages to Running Confirmatory Factor Analysis with a Structural Equation Model
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  • Correlated Errors in Confirmatory Factor Analysis

5 Ways to Increase Power in a Study

by Karen Grace-Martin  4 Comments

To increase power:

  1. Increase alpha
  2. Conduct a one-tailed test
  3. Increase the effect size
  4. Decrease random error
  5. Increase sample size

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

Related Posts

  • How the Population Distribution Influences the Confidence Interval
  • How Confident Are You About Confidence Intervals?
  • How to Interpret the Width of a Confidence Interval
  • Member Training: Power Analysis and Sample Size Determination Using Simulation

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