1 / 10

Data Analysis

Data Analysis. M. Burns FCS 5470. Functions of Statistics. Describe what data look like – descriptive Allow for inferences to be made to a larger population – inferential Which would be more appropriate for evaluation?. Factors influencing analysis selection. Key questions

melvyn
Download Presentation

Data Analysis

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. Data Analysis M. Burns FCS 5470

  2. Functions of Statistics • Describe what data look like – descriptive • Allow for inferences to be made to a larger population – inferential • Which would be more appropriate for evaluation? Jones & Kottler, 2005

  3. Factors influencing analysis selection • Key questions • Nature of data • Single-group v multi-group data • Continuous v discrete variables • Nominal, ordinal, interval v ratio data • Reflects a normal distribution Jones & Kottler, 2005

  4. Scales of measurement • Nominal • Identify different categories of people, objects, etc. • Ordinal • Reflect a particular order or sequence • Interval • Reflect standard and equal units of measurement • Ratio • Similar to interval, but has a true zero point Jones & Kottler, 2005

  5. Normal Distribution Leedy & Ormond, 2001

  6. Descriptive Statistics • Measures of central tendency • Mean, median, mode • Measures of variability • Range, standard deviation, quartile deviation • Measures of association • Correlation co-efficient Jones & Kottler, 2005

  7. Measures of Central Tendency • Mean • Average performance • Only appropriate for interval or ratio data • Median (m) • Middle score • Most appropriate for ordinal data • Mode • Score that occurs most often • Only appropriate for nominal data Jones & Kottler, 2005; Leedy & Ormond, 2001

  8. Measures of Variability • Range • Spread of the data from lowest to highest value • Range = Highest score – lowest score • Quartile range (OIR) • Divide the distribution into four equal parts (quartiles) based on the median or mean • Difference between the 25th and 75th percentiles is calculated Leedy & Ormond, 2001

  9. Measures of Variability • Standard deviation (SD) • Used to describe how different the scores in the group are from each other • Numeral that represents the average difference between each score and the mean • Most appropriate for normally distributed data • Average of the difference between the scores and the mean of the scores Jones & Kottler, 2005

  10. Measures of Association • Correlation coefficient • Single numeral that describes the relationship between scores or r • Number between -1 (negative or inverse correlation) and +1 (positive correlation) • Direction v strength Jones & Kottler, 2005

More Related