Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Posting-Version: version B 2.10.2 9/18/84; site watarts.UUCP Path: utzoo!watmath!watarts!csgro From: csgro@watarts.UUCP (Carlo Sgro) Newsgroups: net.singles Subject: Virginity Survey IV (Help for V) Message-ID: <8341@watarts.UUCP> Date: Tue, 19-Mar-85 00:56:47 EST Article-I.D.: watarts.8341 Posted: Tue Mar 19 00:56:47 1985 Date-Received: Tue, 19-Mar-85 06:09:43 EST Reply-To: csgro@watarts.UUCP (Carlo Sgro) Organization: U of Waterloo, Ontario Lines: 18 An introduction to correlation and significance levels: A correlation is a measure of how closely changes in the value of one variable corresponds to a change in another variable. Correlational values range from -1.00 to +1.00. -1.00 indicates that one variable decreases when the other increases. +1.00 indicates that one variable increases when the other increases. 0.00 indicates no relationship. Thus, the relationship between age and number of grandchildren would be a positive correlation (0.70?) while the relationship between age and number of living grandparents would be a negative correlation (0.50?) and the relationship between income level and number of living grandparents would be near 0. The correlation coefficient used was the Spearman Rank Correlation Coefficient (if that means anything to anyone). The strength of a correlation is measured by its significance level (p). Significance level indicates how likely the results obtained are to be obtained by chance. A value of p < .05 means that the chance of the results occurring by chance was less than 5%. A lower significance level indicates a stronger result. Usually, p < .05 is accepted in statistical and other circles as being strong.