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Member Training: Data Cleaning

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Data Cleaning is a critically important part of any data analysis. Without properly prepared data, the analysis will yield inaccurate results. Correcting errors later in the analysis adds to the time, effort, and cost of the project.

[Read more…] about Member Training: Data Cleaning

Tagged With: Data Analysis, Data analysis work flow, data cleaning, data quality, Missing Data, outliers

Related Posts

  • Eight Data Analysis Skills Every Analyst Needs
  • Member Training: Multiple Imputation for Missing Data
  • Member Training: Determining Levels of Measurement: What Lies Beneath the Surface
  • Member Training: A Data Analyst’s Guide to Methods and Tools for Reproducible Research

Member Training: Practical Suggestions for Improving Your Scatterplots

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The scatterplot is a simple display of the relationship between two, or sometimes three, variables. You have a wide range of options for displaying a scatterplot. In particular, you can control the location, size, shape, and color of the points in your scatterplot.

[Read more…] about Member Training: Practical Suggestions for Improving Your Scatterplots

Tagged With: communicate results, graphing, scatterplot

Related Posts

  • Member Training: How to Avoid Common Graphical Mistakes
  • Member Training: Writing Up Statistical Results: Basic Concepts and Best Practices
  • Member Training: Using Excel to Graph Predicted Values from Regression Models
  • November Member Training: Preparing to Use (and Interpret) a Linear Regression Model

Member Training: Confusing Statistical Terms

by guest

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

Related Posts

  • Series on Confusing Statistical Terms
  • Confusing Statistical Term #8: Odds
  • The Difference Between Association and Correlation
  • Member Training: Interpretation of Effect Size Statistics

Member Training: A Gentle Introduction to Multilevel Models

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In this Stat’s Amore Training, Marc Diener will help you make sense of the strange terms and symbols that you find in studies that use multilevel modeling (MLM). You’ll learn about the basic ideas behind MLM, different MLM models, and a close look at one particular model, known as the random intercept model. A running example will be used to clarify the ideas and the meaning of the MLM results.

[Read more…] about Member Training: A Gentle Introduction to Multilevel Models

Tagged With: multilevel model, nested

Related Posts

  • January Member Training: A Gentle Introduction To Random Slopes In Multilevel Models
  • Member Training: Elements of Experimental Design
  • Member Training: Latent Growth Curve Models
  • Member Training: Generalized Linear Models

Member Training: How to Avoid Common Graphical Mistakes

by guest

Good graphs are extremely powerful tools for communicating quantitative information clearly and accurately.

Unfortunately, many of the graphs we see today confuse, mislead, or deceive the reader.

These poor graphs result from two key limitations. One is a graph designer who isn’t familiar with the principles of effective graphs. The other is software with a poor choice of default settings.

[Read more…] about Member Training: How to Avoid Common Graphical Mistakes

Tagged With: communicate results, formatting graphs, graph, graphics, graphing, quantitative research, software, Statistical Software, tables

Related Posts

  • Same Statistical Models, Different (and Confusing) Output Terms
  • Member Training: Communicating Statistical Results: When to Use Tables vs Graphs to Tell the Data’s Story
  • Member Training: Practical Suggestions for Improving Your Scatterplots
  • Statistical Software Access From Home

Member Training: Practical Advice for Establishing Reliability and Validity

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How do you know your variables are measuring what you think they are? And how do you know they’re doing it well?

A key part of answering these questions is establishing reliability and validity of the measurements that you use in your research study. But the process of establishing reliability and validity is confusing. There are a dizzying number of choices available to you.

[Read more…] about Member Training: Practical Advice for Establishing Reliability and Validity

Tagged With: composite measures, composite score, Criterion and construct valitdity, Information Criterion, inter rater reliability, internal consistency, internal structure, Literature Review, measurement, parallel forms, patient reported, reliability, researcher evaluations, test-retest reliability, validity

Related Posts

  • What Is Reliability and Why Does It Matter
  • November Member Training: Preparing to Use (and Interpret) a Linear Regression Model
  • Member Training: Reporting Structural Equation Modeling Results
  • Member Training: Using Transformations to Improve Your Linear Regression Model

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  • January Member Training: A Gentle Introduction To Random Slopes In Multilevel Models

Upcoming Workshops

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  • Introduction to Generalized Linear Mixed Models (May 2021)

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Data Analysis with SPSS
(4th Edition)

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