# Chapter one Statistics

 Quantitative data is represented in numbers Qualitative  data is represented in words The experiment     is the way to test for causes and to get results Survey a way to collect quantitative data Content analysis analyzing text such as books and using that as your data (pictures, clothing) Secondary analysis using data that you did not collect Variable  empirical representations of concepts; something that changes or varies; has categories or values. Concept an idea or mental abstractions. These concepts become variables in quantitative methods. Steps for concepts to become variables 1. conceptualization-you need a variable2. operalization-you need measurement  Independent Variable caused change to another variable, manipulated by the experimenter (IV) Dependent Variable what we want to measure, come after the IV (DV) Intervening Variable links IV and DV (comes between) Control Variable  to test whether the inital relationship will stay the same between (IV) +(DV)  Categorical Variable Separated in categories  Numerical Variables The quantity of a concept being measured   Continuous  a variable that can only be measured with numbers that can be subdivided into smaller increments. (income, age) Discrete Variables measured with a limited number of fixed categories (gender, religion, race) Mutually exclusive attributes  should only fit into one category  Exhaustive Attributes should provide a category for all possible responses (every person should be able to answer the question) Causal Alternate States there is a relationship between IV+DV  Symbol (H) Null Hypothesis  Is a statement of no relationship between IV+DV Symbol (HO) AuthorNickbodnar ID193289 Card SetChapter one Statistics DescriptionGeneral Statistics Updated2013-01-17T01:43:15Z Show Answers