PSYC 1010 Lecture Notes - Lecture 3: Scatter Plot, Blind Experiment, Central Tendency

• School: York University
• Department: Psychology
• Course: PSYC 1010
• Professor: Rebecca Jubis

Document Summary

Correlational method of research: measures of the degree of relationships between two variables. There is no attempt to manipulate or control variables. Rather, naturally occurring variations on both variables are measured to see if they are related. The correlational method helps us make predictions about behaviour: you cannot infer cause and effect, a b. = the value of both variables are changing in the opposite direction: above 0. 7 is very good results. In a scatter plot graph, if the points are all over the place, it shows that there is no relationship between the two variables. Experimenter bias: minimize experimental bias, double blind procedure not only is the subject unaware of the experimental condition on hypothesis, but so is the experimental. Self-fulfilling prophecy: person a"s expe(cid:272)tation (cid:449)ill (cid:272)ause his (cid:271)eha(cid:448)iour (cid:449)hi(cid:272)h (cid:449)ill lead to person b"s (cid:271)eha(cid:448)iour. Statistics: descriptive statistics, describes the characteristics of your data. Measure of central tendency: mean, mode, median, variability.