1 / 19

Descriptive Statistics Calculations and Practical Application

Descriptive Statistics Calculations and Practical Application. Part 1. Content. Measurement and Scale of Measurement Descriptive Statistics Central Tendency Variability Box Plot Descriptive Graphics Friendly Introductory Statistics Help (FISH) Hand Calculations.

hanna-riggs
Download Presentation

Descriptive Statistics Calculations and Practical Application

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. Descriptive Statistics Calculations and Practical Application Part 1

  2. Content • Measurement and Scale of Measurement • Descriptive Statistics • Central Tendency • Variability • Box Plot Descriptive Graphics • Friendly Introductory Statistics Help (FISH) • Hand Calculations

  3. Measurement - the assignment of numbers to objects or events according to rules. • Rules: - provide meaning to numbers - provide guidelines for assigning numbers • Measurement Scales • Nominal • Ordinal • Interval • Ratio • Operational Definition - specifies the instrument or operations to be used for measuring the variable (gives the rules for assigning numbers).

  4. Measurement Scale • Process of Assigning numbers that represent attributes or properties • Scale • Nominal: Category • Ordinal: Category Rank (must have at least 5 ranked categories to be considered ordinal) • Interval: Category Rank Distance • Ratio: Category Rank Distance Zero Point

  5. Measurement Scale

  6. Standardized Instruments • Person made with psychometrics • have reliability/validity statistics • meaningful difference • ability to detect difference (responsiveness) • interval “like” properties of known standard deviation for a given clinical condition • Eliminates need to develop own instrument • May require training for proper administration • The instrument must be appropriate for: • the specific research purpose/design • the specific population

  7. Self Efficacy Self Esteem Sickness Impact Profile Beck Depression Scale Beck Anxiety Scale Functional Scales Fatigue Inventory Quality of Life Stroke Impact Scale DASH Development Achievement Personality Learning Style Aptitude Attitude Berg Balance Scale Many Others Examples (Interval Like) Clinical Tests

  8. Measures Variable things measured to represent concept studied • Independent variable (IV), treatment, cause • Dependent variable (DV), outcome, result

  9. Descriptive Example Calculations

  10. Central Tendency • Sample Mean: • Sample Median: Middle Score • Sample Mode: Most Frequent Score

  11. Visual of Variability with Same Mean Value Low Variability High Variability

  12. Measures of Variability Sample Range: Difference between high and low score Interquartile Range: Difference between 75th percentile to 25th percentile Sample Variance: Sample Standard Deviation: Standard Error Of The Mean (SEM):

  13. Box Plot Graphic (ideally median is in center of box and whiskers are equal above and below the box) 75 Percentile Upper Hinge (88) Interquartile Range = 2 25 Percentile Lower Hinge (86) To open the link, you may have to right mouse, click if you are not in the Powerpoint Show mode.

  14. What is variance and what is standard deviation? • Variance is the average squared deviation from the mean • σ2 population variance equals sum (Σ) of squared deviations from the mean divided by N ; it is the average squared deviation from the mean (mean square) • S2 sample variance equals sum (Σ) of squared deviations from the mean divided by n-1; it is an adjusted average squared deviation from the mean based on a sample measure (still a type of mean square) • Standard Deviation is the square root of variance • Population standard deviation, σ is the square root of population variance • Sample Standard deviation, S is the square root of sample variance

  15. What is Standard Error of the Mean: (error)standard error of the mean is an estimate of the amount that an obtained mean may be expected to differ by chance from the true population mean. http://medical-dictionary.thefreedictionary.com/standard+error+of+the+mean The larger the n the smaller the SEM. The smaller the Std Dev, the smaller the SEM

  16. Example using Friendly Introductory Statistics Help (FISH), enter data STEP 1 and perform STEPS 2-10 to check your calculations.

  17. If you don’t have access to a PC for FISH here is a good site for descriptive statistics http://www.calculatorsoup.com/calculators/statistics/descriptivestatistics.php

  18. See if you can proceed to the next Excel Workbook to calculate measures of central tendency and variation

More Related