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Handling Data in Psychometrics (Describing Data Graphically (Histogram,…
Handling Data in Psychometrics
Describing Data Quantitatively
Describing using Averages
Mean
Median
Mode
Describing using Dispersion
Range
Quartile
Average Deviation
Standard Deviation
Describing using Level of Measurement
Nominal
Ordinal
Interval
Ratio
Describing Data Quantitatively
Describing using Sample Characteristics
Kurtosis
Mesokurtosis
Platykurtosis
Leptokurtosis
Skewness
Symmetricity
Positively Skewed
Negatively Skewed
Describing using Standard Scores
z-scores
t-scores
stanine
percentiles
Describing Data Graphically
Histogram
Bar Graph
Stem-and-Leaf
Polygon
Generating Inferences from the Data
Non-causal Inferences
Regression
Simple Correlation
Causal Infererences
Comparison of Means
Comparison of Variances
Model Testing
Structural Equation Modelling
Factor Analysis