Mar 28, 2024  
2022-2023 College Catalog 
    
2022-2023 College Catalog [ARCHIVED CATALOG]

PSY 230 - Psychological Measurements and Statistics

3 Credits, 3 Contact Hours
3 lecture periods 0 lab periods

Measurement, quantitative description and statistical inference as applied to psychological variables. Includes scientific research and statistics, descriptive statistics, inferential statistics, correlation and linear regression, and non-parametric tests.

Prerequisite(s): PSY 101 , and completion of MAT 097 , MAT 142 , MAT 151  or higher .
Information: Prerequisite(s) may be waived with consent of instructor before enrolling in the class.
Gen-Ed: Meets AGEC - SBS; Meets CTE - SBS.





Course Learning Outcomes
  1. Analyze data for Descriptive Research Methods: Including select, prepare and interpret appropriate tables and graphs; Calculate and interpret measures of central tendency and variability. Determine and interpret distribution shapes.
  2. Analyze data for Inferential Research Methods: Including calculate and interpret standard scores; determine probabilities within the normal curve and sampling distributions. Apply and understand the steps and logic of hypothesis testing for the t-statistic, analysis of variance, and correlation. Determine and interpret statistical power and treatment effect.
  3. Choose the correct statistic for different research situations: Including descriptive, observational correlational, inferential and non-parametric tests. Obtain correct mathematical results and communicate arguments based upon that data.
  4. Define, calculate and analyze data using appropriate statistical software.

Outline:
I.    Scientific Research and Statistics
      A.  Overview
      B.  Terminology

II.   Descriptive Statistics
      A.  Tables and graphs
      B.  Measures of central tendency and variability
      C.  Shapes of distributions
      D.  Normal curve and standard scores

III.   Inferential Statistics
      A.  Random sampling and probability
      B.  Sampling distributions
      C.  Hypothesis testing, power and treatment effect 
      D.  Student’s t-test for single samples, correlated groups, and independent groups
      E.  Analysis of variance

IV.   Correlation and Linear Regression

V.    Non-Parametric Tests
       A.  Chi-square
       B.  Other non-parametric tests