1 / 9

Section 1.2: Measurement

Section 1.2: Measurement. Your Class Data ( dotplots ):. Questioning the Class Data:. Are the measurements valid ? - What would make them NOT valid? Are the measurements reliable ? - What would make them NOT reliable? Is there any bias in your data ?

khuong
Télécharger la présentation

Section 1.2: Measurement

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Section 1.2:Measurement

  2. Your Class Data (dotplots):

  3. Questioning the Class Data: • Are the measurements valid? - What would make them NOT valid? • Are the measurements reliable? - What would make them NOT reliable? • Is there any bias in your data? - What would create bias in this activity?

  4. 1. Validity • A variable is a VALID measure of a property if it is relevant or appropriate as a representation of that property. • Sometimes it is better to use a rate than a count. - Percentages of population versus number of people in population. • Example: Your study would not be valid if you measured the height of students in an attempt to study students’ math grades.

  5. 2. Predictive Validity • How accurate does one variable predict another? • Does a variable predict success to a given task? • Example: Scores from IQ Tests are used to predict intelligence.

  6. 3. Errors in Measurement ? True Weight Scale stuck this morning and read a pound lower Measured Value Scale Reading True Value Random Error EXAMPLE: Bathroom Scale Scale always reads 3 pounds higher = = + + Bias + +

  7. 4. Types of Errors • Bias: When a measurement process systematically overstates or understates the true value. - Example: When measuring everyone’s height, all rulers started at 1 inch, not 0 inches. • Reliability: When there is a small random error after repeated measurements. - A study is reliable if measurements are consistent! - You want small variability (very little spread for your data).

  8. 5. Improving Reliability (reducing error) • Find the most accurate method of measuring • Repeat Measurements (obtain a larger sample) - If possible, take the averages of measurement data to draw conclusions from!

  9. 6. Class Example • You take your blood pressure at home using a home monitor. You get the following results: 120/80, 132/90, 125/85, 110/70, 135/85. You go to the doctor and find that your actual blood pressure is 121/80. -Is your blood pressure monitor a valid method for measuring your blood pressure? Explain. - Does your BP monitor have a problem with reliability or bias? Explain.

More Related