CMNS 260 Lecture Notes - Lecture 10: Quartile, Percentile, Interquartile Range
10 May 2016
School
Department
Course
Professor
Document Summary
Cmns 260 week 10 coding, data preparation and beginning of descriptive statistics. Coding data: variable attributes must be: exhaustive, mutually exclusive, consistent for all cases, comparable with other studies. Post collection coding: common types: grouping response categories for closed-ended questions, converting continuous measures into discrete measures (i. e. dates of births into age groups, combining responses from more than one measure (ex. Cleaning data: check for plausible responses (example from class discussion: do you have a. Pre defined coding schemes: ex; close-ended questions, ex. Coding schemes are: an information-gathering or data collection technique, a technique used for data analysis. Direct-entry method via pre-programmed computer (ex, websurvey) Other automated methods: optical scans, bar codes, tracking software (and many new techniques for monitoring cookies , gps, and so forth ) Possible code cleaning (also called wild code checking: impossible codes (codes that should not exist)
