Main Menu for Chapter 7 of Research Design Explained

• Outline
• Powerpoint lecture/Chapter outline
• Key Terms and Issues

• Lecture 7.1: Interpreting Descriptive Data
• Lecture 7.2: Descriptive Methods
• Powerpoint lecture/Chapter outline
• Bonus powerpoint lecture (password is the first non-hyphenated word on page 3 of the Instructor's Manual)

Chapter 7 section of the student website

Handouts

• Handout 7.1: Different kinds of correlation coefficients
• Handout 7.2: Scales of measurement and analysis
• Handout 7.3: Interpreting Null Results
• Detailed Learning Objectives for Chapter 7
• Crossword puzzle
  • Completed crossword puzzle (password is the first nonhyphenated word on page 3 of the Instructor's Manual)

• Have students read an interesting correlational article (article summary and reading tips handout provided)
• Value of description
• Demonstrate why scientific procedures are necessary to do accurate descriptive research
• Have student conduct descriptive research  (ideas for both observational and archival research)
• Discuss the strengths and weaknesses of descriptive research
• Have students use a computer program on the web to calculate chi squares to help them better understand the concept of correlation. If you want them to have use a computer program to calculate Pearson r, click here.
• Assign this interactive Excel spreadsheet if you want to help students understand how different Pearson rs correspond to different effect sizes.
• Make sure students understand the difference between positive and negative correlation coefficients and that the absolute value of the correlation coefficient corresponds to its size.
• Assign or demonstrate this online tool--an interactive visualization--that helps students interpret correlation coefficients
• Correlation and causality
• Advanced issues in correlation and causality
• Have students go through a Chi-square tutorial.
• Statistical significance
• Different modes of analyzing correlational data
• Subject variables
• Discuss links between experimental and correlational research