lecture 11-2

lecture 11-2 - November 2, 2004 Survey Research: Relating...

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon
November 2, 2004 Survey Research: Relating Variables in Survey Research For nominal data (discrete variables): Ex: Yes/No; M/F; support/oppose/no opinion Break down to percentage by category For interval/ratio data (continuous variables): Ex: likert, semantic differential items, etc. We compare mean scores (arithmetic average) We compute correlations Why you would use this vs. nominal data depends on what you’re looking for with data Comparing means IV: make it a categorical variable (divide into categories) Ex: cell phone use (hi/lo or yes/no) DV: compute mean scores for each category of the IV and compare them Compare two separate groups for one question Correlation Statistical tool for relating two or more continuous variables (interval/ratio) Compute a “Pearson r Tells you direction and magnitude of relationship Direction: Positive r : as x (ind variable) increases, y (dep variable) increases Negative r : as x increases, y decreases Magnitude: strength of relationship r
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Image of page 2
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 04/10/2008 for the course AS AM 1 taught by Professor Zhao during the Fall '08 term at UCSB.

Page1 / 2

lecture 11-2 - November 2, 2004 Survey Research: Relating...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online