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

From Wikiversity
Jump to: navigation, search

Lecture 03: Descriptives & graphing

Nuvola apps edu languages.svg 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.


Information

This page is complete for 2017.

3D Bar Graph Meeting.jpg

Outline[edit]

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 distribution

The lecture resources include presentation slides, and sometimes additional notes.

Readings[edit]

  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]

  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).

Slides[edit]

See also[edit]

External links[edit]