Resource Library

Statistical Topic

  1. Library Home
  2. Data Collection
  3. Measurements Properties & Issues
Variable Classification 25
Variable Validity, Reliability, Bias 32
Advanced Search | Displaying 31 - 40 of 97

  • Analysis Tool for Data Collection/Extraction: DataFerrett (JAVA)

    DataFerrett is a unique data analysis and extraction tool -- with recoding capabilities -- to customize federal, state, and local data to suit your requirements. Using DataFerrett, you can develop an unlimited array of customized spreadsheets that are as versatile and complex as your usage demands. The DataFerrett helps you locate and retrieve the data you need across the Internet to your desktop or system, regardless of where the data resides. You can then develop and customize tables. Selecting your results in your table you can create a chart or graph for a visual presentation into an html page. Save your data in the databasket and save your table for continued reuse. The DataFerrett is a Beta testing version that will incorporate the latest bug fixes, enhancements, and new functionality that will be rolled into the DataFerrett after testing has been completed.

    View Resource

    0
    No votes yet

  • Quote: Orshansky on Measuring Poverty

    A quote to motivate discussions of government economic measures and the validity of measurements. The quote is by American economist and statistician Mollie Orshansky (1915-2006), the developer of the poverty level used by the U.S. government. The quote is from her article "Counting the Poor: Another Look at the Poverty Profile," in the January 1965 Social Security Administration Bulletin.

    View Resource

    0
    No votes yet

  • Joke: Measuring Prestige

    A one-liner to be used in discussions about how the statistical profession is commonly ranked high in terms of factors like demand, job satisfaction, and salary (or about the difficulty in finding a valid measurement of prestige).

    View Resource

    0
    No votes yet

  • Quote: Heisenberg on Observing Nature

    "We have to remember that what we observe is not nature herself, but nature exposed to our method of questioning." is a quote by German Physicist Werner Heisenberg (1901-1976) that can be used in discussing the validity of measurements. The quote arose in a series of lectures delivered at University of St. Andrews, Scotland in the 1955-1956 academic year and published in Physics and Philosophy: The Revolution in Modern Science (1958).

    View Resource

    0
    No votes yet

  • Quote: Yule on Measurement

    "Failing the possibility of measuring that which you desire, the lust for measurement may, for example, merely result in your measuring something else - and perhaps forgetting the difference - or in your ignoring some things because they cannot be measured." A quote by British statistician George Udny Yule that can be used in discussing the validity of measurements. The quote is contained on the last page of his famous 1921 British Journal of Psychology paper "The essentials of mental measurement." The quote is commonly paraphrased as "In our lust for measurement, we frequently measure that which we can rather than that which we wish to measure... and forget that there is a difference."

    View Resource

    0
    No votes yet

  • Song: Empty Time with Normal Tables

    A song that might be used in pre-service courses for statistics teachers (or professional development workshops) to point out why using technology is preferred to training students to use Normal Probability Tables. The lyrics were composed by Robert Carver of Stonehill College. May be sung to the tune of the "Empty Chairs at Empty Tables" written by Schoenberg and Kretmer for the play Les Miserables. The lyrics won an honorable mention in the CAUSE 2013 A-Mu-sing contest. Musical accompaniment realization and vocals are by Joshua Lintz from University of Texas at El Paso.

    View Resource

    0
    No votes yet

  • Poem: Very Able to Know Each Variable

    A poem to teach about various types of variables (categorical versus numerical versus summary statistics) and differentiating them from other concepts like the outcomes in the sample space or the sample size. The poem was composed by Lawrence Mark Lesser of The University of Texas at El Paso.

    View Resource

    5
    Average: 5 (1 vote)

  • Webinar: Using Your Hair To Understand Descriptive Statistics

    October 26, 2010 Activity Webinar presented by Tisha Hooks, Winona State University and hosted by Leigh Slauson, Capital University. Extra materials available to download free of charge. The purpose of this webinar is to introduce an activity to enhance students' understanding of various descriptive measures. In particular, by completing this hands-on activity students will experience a visual interpretation of a mean, median, outlier, and the concept of distance-to-mean.

    View Resource

    0
    No votes yet

  • STATS Issue 48 Fall 2007

    This issue contains articles about steroids in baseball; finding ways to make learning statistics fun; an interview with Joan Garfield about Statistics Education; an introduction to response surface methodology; and a look at the vocabulary used in experimental design.

    View Resource

    0
    No votes yet

  • STATS Issue 45 Spring 2006

    This issue contains articles about binomial confidence intervals; the team effect in stock car racing; using multiple tests (one-sample t-test and sign test); the "two-envelope exchange paradox" (similar to the Monty Hall problem) with discussions of expectation, likelihood, and inference; regression line vs. trend line; calculations of standard normal table values and pi; teaching at a small liberal arts college; modeling extreme events.

    View Resource

    0
    No votes yet

Pages