Survey research and design in psychology/Lectures/Descriptives & graphing

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Lecture 03: Descriptives & graphing

Resource type: this resource contains a lecture or lecture notes.

This is the third lecture for the Survey research and design in psychology unit of study.

Outline[edit | edit source]

Overviews descriptive statistics and graphical approaches to analysis of univariate data.

  1. Getting to know a data-set
  2. Parametric & non-parametric statistics & level of measurement
  3. Univariate descriptive statistics
  4. Univariate graphs
  5. Properties of the normal distribution
  6. Non-normal distributions

Readings[edit | edit source]

  1. Howitt and Cramer (2011a):
    1. Chapter 01 - Why you need statistics: Types of data (pp. 1-10)
    2. Chapter 02 - Describing variables: Tables and diagrams (pp. 11-22)
    3. Chapter 03 - Describing variables numerically: Averages, variation and spread (pp. 23-35)
    4. Chapter 04 - Shapes of distributions of scores (pp. 36-45)
    5. Chapter 05 - Standard deviation and z-scores: The standard unit of measurement in statistics (pp. 46-58)
  2. Howitt and Cramer (2014a):
    1. Chapter 01 - Why statistics? (pp. 1-16)
    2. Chapter 02 - Some basics: Variability and measurement (pp. 19-28)
    3. Chapter 03 - Describing variables: Tables and diagrams (pp. 29-43)
    4. Chapter 04 - Describing variables numerically: Averages, variation and spread (pp. 44-57)
    5. Chapter 05 - Shapes of distributions of scores (pp. 58-70)
    6. Chapter 06 - Standard deviation and z-scores: The standard unit of measurement in statistics (pp. 71-85)

Videos[edit | edit source]

  1. Video: Science is beautiful - explores 3 different visualisations, Florence Nightingale (health), genome overlaps, ocean currents (Nature Video, Youtube, 5:30 mins).
  2. Video: Is Pivot a turning point for the web? - demonstrates the potential for dynamic data visualisation in order to discover patterns and links (Gary Flake, TED talk - 6:25 mins).

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