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Review Sheet for Exam 2: PSY 395 Computer Data Analysis - Chapters 4 and 5, Exams of Psychology

University of La Verne (ULV)Psychology

A review sheet for exam 2 of the psy 395 computer data analysis course. It covers the material from chapters 4 and 5, including definitions of key terms, data cleaning techniques, transforming data, identifying correlations, cross tabulations, significance tests, and interpreting output data. Students are expected to be able to define various terms, identify positive and negative correlations, know when to use crosstabs versus correlation, and produce and interpret output data using spss.

Typology: Exams

Pre 2010

Uploaded on 08/16/2009

koofers-user-dyp
koofers-user-dyp 🇺🇸

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PSY 395: Computer Data Analysis 1
Review Sheet for Exam 2: Chapters 4, 5
Chapter 4
Be able to define the following terms:
- Alpha Coefficient
- Cleaning Data
- Contingency Cleaning
- Recoding
Know how to recode variables into different variables
Be able to transform data using the compute statement
Be able to sort data
Chapter 5
Be able to define the following terms:
- Correlations
- Cross Tabulations
- Null Hypothesis
- Significance Level
- Significance Tests
- Thin cells
- Ecological fallacy
Identify positive correlation versus negative correlations by looking at scatterplots
Know when to use crosstabs (chi-square analysis) and when to use correlation
Be able to produce a crosstabs analysis using SPSS
Be able to produce a correlation analysis using SPSS
Know how to interpret output data for correlations and crosstabs

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Download Review Sheet for Exam 2: PSY 395 Computer Data Analysis - Chapters 4 and 5 and more Exams Psychology in PDF only on Docsity!

PSY 395: Computer Data Analysis 1 Review Sheet for Exam 2: Chapters 4, 5 Chapter 4 Be able to define the following terms:

  • Alpha Coefficient
  • Cleaning Data
  • Contingency Cleaning
  • Recoding Know how to recode variables into different variables Be able to transform data using the compute statement Be able to sort data Chapter 5 Be able to define the following terms:
  • Correlations
  • Cross Tabulations
  • Null Hypothesis
  • Significance Level
  • Significance Tests
  • Thin cells
  • Ecological fallacy Identify positive correlation versus negative correlations by looking at scatterplots Know when to use crosstabs (chi-square analysis) and when to use correlation Be able to produce a crosstabs analysis using SPSS Be able to produce a correlation analysis using SPSS Know how to interpret output data for correlations and crosstabs