Statistics Refresher - Tests and Measurements - Lecture Notes, Study notes of Psychological Data

Statistics Refresher, Scales of Measurement, Frequency Distribution, Grouped Frequency Distribution, Most Common Graphs, Frequency Polygon, Measures of Central Tendency, Measures of Variability, Variance Problem, Standard Deviation Pluses. You might have found many different lecture notes on Tests and Measurements regarding psychological disorder over internet but this set I am uploading is best you can find.

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2011/2012

Uploaded on 12/11/2012

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A Statistics Refresher
What are Scales of Measurement?
Nominal
Categories
Ordinal
Magnitude
Interval
Magnitude and equal interval
Ratio
All others and has a true zero point
Examples
Groups of low, medium, high?
How much you like something?
1 not at all 5 very much
Frequency Distribution
Summary information of scores and their occurrence.
Grouped Frequency Distribution
Intervals replace specific values
Identification of 12-15 class intervals recommended
Example of G.F.D.
20 students surveyed.
Values are the number of alcoholic beverages.
How do you create a frequency distribution using six classes?
Steps
Step 1: Find the highest and lowest values: H = 9 and L = 0.
Step 2: Find the range:
R = H L = 9 – 0 = 9.
Step 3: Select the number of classes desired. In this case: 6.
Step 4: Find the class width by dividing the range by the number of classes. Width = 9/6 =
1.5. Value is rounded up.
Step 5: Select a starting point for the lowest class limit: 0, 2, 4, 6, 8, 10.
Step 6: Upper class limits will be 1, 3, 5, 7, 9, and 11.
Most Common Graphs
Histogram
Frequency Polygon
Ogive
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A Statistics Refresher

What are Scales of Measurement?

  • Nominal
    • Categories
  • Ordinal
    • Magnitude
  • Interval
    • Magnitude and equal interval
  • Ratio
    • All others and has a true zero point

Examples

  • Groups of low, medium, high?
  • How much you like something?
    • 1 not at all 5 very much

Frequency Distribution

  • Summary information of scores and their occurrence.

Grouped Frequency Distribution

  • Intervals replace specific values
    • Identification of 12-15 class intervals recommended

Example of G.F.D.

  • 20 students surveyed.
    • Values are the number of alcoholic beverages.
    • How do you create a frequency distribution using six classes?

Steps

  • Step 1: Find the highest and lowest values: H = 9 and L = 0.
  • Step 2: Find the range: R = H – L = 9 – 0 = 9.
  • Step 3: Select the number of classes desired. In this case: 6.
  • Step 4: Find the class width by dividing the range by the number of classes. Width = 9/6 = 1.5. Value is rounded up.
  • Step 5: Select a starting point for the lowest class limit: 0, 2, 4, 6, 8, 10.
  • Step 6: Upper class limits will be 1, 3, 5, 7, 9, and 11.

Most Common Graphs

  • Histogram
  • Frequency Polygon
  • Ogive

Histogram

  • Intervals = columns; Height = frequency

Frequency Polygon

  • Intervals points; Plotted at middle.

Ogive

  • Represents the cumulative frequency.

Measures of Central Tendency

  • Mean
  • Median
  • Mode

Mean

  • Average score

Mode

  • Most commonly occurring score
  • Can you have more than one?
  • Can you have no mode?

Mode Example

  • Ten different sports cars were tested for 0-60mph times.
  • Data set: 4.2, 4.5, 4.5, 4.5, 5, 5.2, 5.5, 5.5, 5.5, 6.2, 6.

Median ( MD )

  • Rank scores, the median is the middle score.
  • Number of scores above and below it?
    • 50th percentile
  • Even number of scores, median is the average between the two middle scores.

Measures of Variability

  • Extent of dispersion around central tendency
  • Variability is useful in interpreting individual differences in the distribution
  • Range
  • Variance
  • Standard Deviation

Range

  • Difference between extreme scores
  • Highest score is 100, lowest score is 55?

Variance

  • Variance is equal to the sum of the squared deviations divided by the total number of scores
  • 95% of the curve is between –1.96 and +1.96 sd units

Skewed Distribution Problems

  • We can’t normally make comparisons
  • Mathematically, we can try to normalize (perform a non-linear transformation) the distribution
  • Convert raw scores to percentile ranks then to z-scores
  • Not desirable, generally, you want to obtain a normal curve

What are Standard Scores?

  • Standard scores are linearly transformed scores
  • Raw scores are mathematically computed that make scores comparable
  • A standard score distribution maintains the same shape as the original raw score distribution
  • Best example is the z score

Standard score ( z scores)

  • z score expressed in standard deviation units (0 +/- 1)
  • What is the z score of a score of 50 on a test with a mean of 30 and a standard deviation of 10?

Standard score ( T scores)

  • T score expressed in standard deviation units as well (50 +/- 10)
  • What is the T score of a raw score falling 2 standard deviations above the mean would be equal to a T of ???