logging in or signing up Week 2 levels of measurement physioactive Download Post to : URL : Related Presentations : Let's Connect Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Copy embed code: Embed: Flash iPad Dynamic Copy Does not support media & animations Automatically changes to Flash or non-Flash embed WordPress Embed Customize Embed URL: Copy Thumbnail: Copy The presentation is successfully added In Your Favorites. Views: 3448 Category: Education License: All Rights Reserved Like it (5) Dislike it (0) Added: January 21, 2008 This Presentation is Public Favorites: 0 Presentation Description Queen Margaret University, Edinburgh Module: Introduction to Research Code: P1112 Comments Posting comment... By: dmae (41 month(s) ago) can i download this video? Saving..... Post Reply Close Saving..... Edit Comment Close By: jennamark (46 month(s) ago) can you allow me to download the data types and measurement scales by chee-wee tan? Saving..... Post Reply Close Saving..... Edit Comment Close Premium member Presentation Transcript Data types & Measurement scales: Data types & Measurement scales Chee-Wee Tan Module P1112Data is all around us: Data is all around us Collect data everyday. Example: Weather Where do we get the data?: Where do we get the data? ValuesDefine the concept /construct: Define the concept /construct Any concept/construct can be conceptually defined. Example: Pain is “an unpleasant sensory & emotional experience associated with actual or potential tissue damage, or described in terms of such damage” (International Association for the Study of Pain, 1994) This is a conceptual definition for ‘pain’Operational Definition: Operational Definition Abstract construct may require specific definitions to measure it. Example: Pain – ‘pain threshold’ ‘pain intensity’ ‘pain unpleasantness’Process of measurement: Process of measurement Characteristics of the person/object, not the person/object we’re measuring. Assign of numbers to characteristic.Measurement scale: Measurement scale The way we assign the numbers and the context will affect the measurement scale. Levels of measurement Properties of the measurement scaleFour measurement scales: Four measurement scales Nominal Ordinal Interval Ratio Nominal Scale: Nominal Scale ‘In name only’ Labels for identification Mathematical operators cannot be used here. Example: License plate numbers, gender.Ordinal scale: Ordinal scale Numbers reflect the ordered relationship Takes on features of the nominal scale But since there is order, we can do more in analysis, e.g. finding the median (Week 3) Example: Oxford scale of muscle strengthInterval scale: Interval scale Has all the characteristics of ordinal scale. But allows inferences to be made on the extent of differences. Example: Celsius/Fahrenheit scale (temperature) Arbitrary zero pointRatio scale: Ratio scale Has all the characteristics of the interval scale. Absolute zero point Or ‘true zero’, or ‘natural zero’. Example: Muscle strength measured in NewtonsDiscrete or Continuous variable: Discrete or Continuous variable Discrete Varies in discrete steps Example: number of goals, number of children in a family Continuous Example: Height, weight & timeTypes of data: Types of data Data types Modified from Fleming & Nellis (1994), p8.Why are measurement scales important?: Why are measurement scales important? Progression Transform higher to lower scale. Reverse not generally true.Why are measurement scales important?: Why are measurement scales important? Metric data (interval & ratio) Use of parametric statistics Non-metric data (nominal & ordinal) Use of non-parametric statistics For this course, only parametric statistics will be mentioned.Summary: Summary What is a variable & a value? Defining concept/constructs Measurement scales You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.