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by: Emil Labadie


Marketplace > Texas A&M University > Sociology > SOCI 220 > METH OF SOC RESEARCH
Emil Labadie
Texas A&M
GPA 3.71

Judith Linneman

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Judith Linneman
Class Notes
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This 2 page Class Notes was uploaded by Emil Labadie on Wednesday October 21, 2015. The Class Notes belongs to SOCI 220 at Texas A&M University taught by Judith Linneman in Fall. Since its upload, it has received 19 views. For similar materials see /class/225843/soci-220-texas-a-m-university in Sociology at Texas A&M University.

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Date Created: 10/21/15
Univariate Data Analysis A Descriptive Statistics Summarize and describe findings on one variable in a sample 1 Measures of Central Tendency Identify typical common usual average middle a Mean average Disregard missing cases The mean might not even be near where most cases are Only one measure of the center b Mode most common The number that occurs most frequently 6 Median middle Formula for nding the middle case or cases N1 divided by 2 N Number of cases 2 Measures of Dispersion Measures of Speed a Range b Variance The merage square distance of all the cases from the mean Find the mean of all cases find the distance each case is from the mean square each of the distances from the mean add up all of these squared numbers and divide by the total number of cases Variance c Standard Deviation Average distance of all the cases from the mean 139 Variance B Inferential Statistics Allow conclusions about one variable in a population based on sample ndings 1 Standard Error A measure of Sampling Error Bivariate Data Analysis A Descriptive Statistics Describe Summarize a relationship in a sample measure Substantive Significance how strong the relationship is 1 Lambda Possible Range 0 1 a Levels of Measurement NN ND 0N 2 Gamma Possible Range 1 0 1 a Levels of Measurement 00 3 Eta Possible Range 0 1 4 Etaz Possible Range 0 1 a Not used forstrength Example quot12 12 of the variation in income is explained by sex 5 r Pearson Correlation Coefficient Possible Range 1 0 1 1 Levels of Measurement NR OR 6 R2 See Etaz39 interpretation a Levels of Measurement NR OR b Example r is 12 weak R2 01 quot1 of the variation and how they feel about alcohol policy is explained by how many orgs they are in B Inferential Statistics Allow conclusions about a relationship in a population based on a relationship in a sample 1 Chi Square a Statistical Significance Measures chance that a relationship in a sample regardless of strength exists in the population or resulted from sampling error A number printed out with Chi Square 1 Statistical Signi cance determines whether there is enough evidence to reject the null hypothesis in favor of your hypothesis a Null Hypothesis In the population there is no relationship between ltindependent variablegt and ltdependent variablegt i gt05 Fail to reject the Null Hypothesis Your hypothesis is NOT supported ii lt05 Reject the Null Hypothesis Your hypothesis is supported if predicted relationship appears even if it is weak b Levels of Measurement NN NU ON 00 quotFquot Variation between groups Variation within groups graphs


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