PSYB01H3 Lecture Notes - Standard Deviation, Structural Equation Modeling, Statistical Significance
Document Summary
Chapter 12 - understanding research results: description and correlation. Stats are used for describing data and making inferences on sample data. Levels of a variable can be decribed by 4 scales. Depending on the way the variables are studied there are 3 basic ways of describing the results. Example: studying if which females or males like traveling more. Lets say out of 50 females and 50 males. Need to focus on % because of variable of liking travel or disliking travel is nominal. Used when you do not have distinct subject groups. Each variable has a range of numerical values. Example: studying effect of exposure to an aggressive adult on children"s play. Aggression is a ratio scale variable because there is a true zero and equal intervals. When analyzing results it is useful to start by making a frequency distribution of the data. Frequency distribution: indicates the number of individuals that receive each possible score on a variable.
