APSY2216 Lecture Notes - Lecture 22: Descriptive Statistics, Data Analysis, Internal Validity

• School: Boston College
• Department: Counseling, Developmental, and Educational Psychology
• Course: APSY2216
• Professor: Thomson

Document Summary

Today - understanding data analyses and interpreting and presenting results, course wrap-up. Research proposals are due the following wednesday - see professor thomson if you need an extension. Pictures and visuals can be very powerful tools to use in the presentation. Justify why your study is important - you can use existing literature. Data analyses slide - important to include . Sample slide - include sampling technique, sample size, and other relevant information. Measures slide - describe how the variables are measured hypotheses for causal-comparative studies. If a hypothesis is not appropriate, explain why. If you have a grouping variable, describe how those groups were created. Hypotheses can be in words, but it makes more sense to have them written symbolically (m1 > m2) Use in hypotheses for studies with two continuous variables (cid:523)correlation coefficient(cid:524), m in. Note name of instrument, number of items, sample items, continuous vs. categorical.