American Psychological Association
Data Exploration in Psychology Specialization
American Psychological Association

Data Exploration in Psychology Specialization

Data Exploration in Psychology . Introduce the use of descriptive statistics in psychological research, including descriptions of how data sets are structured in statistical software, the construction of basic frequency distributions, understanding of measures of central tendency, variability, correlation, and contingency, and the use of statistical software for exploring these descriptive statistics.

Peter Cardamone
Mike Stadler, PhD

Instructors: Peter Cardamone

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Beginner level

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3 months
at 5 hours a week
Flexible schedule
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Get in-depth knowledge of a subject
Beginner level

Recommended experience

3 months
at 5 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • A comprehensive understanding of how data sets are structured in statistical software.

  • A comprehensive understanding of measures of central tendency, variability, correlation, and contingency.

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Taught in English
Recently updated!

September 2024

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Specialization - 4 course series

What you'll learn

  • Describe the elements and structure of a data set.

  • Give examples of the effective use of frequency distributions.

  • Learn operation and use of jamovi to create and navigate a data set and generate its frequency distributions,

Skills you'll gain

Category: Frequency Distribution
Category: Jamovi
Category: Data Set Analysis
Category: Statistical Software
Category: Graphing

What you'll learn

  • Compute and interpret the measures of central tendency.

  • Distinguish among the measures of central tendency in frequency distributions.

  • Select appropriate measures of central tendency based on a variable’s scale and frequency distribution.

Skills you'll gain

Category: Central Tendency
Category: Frequency Distribution
Category: Data Analysis
Category: Measures of Central Tendency
Category: Statistical Graphics

Measures of Variability

Course 33 hours

What you'll learn

  • Explain the nature and basic measures of variability.

  • Calculate and interpret variance and standard deviation.

  • Describe variability in frequency distributions.

Skills you'll gain

Category: Standard Deviation
Category: Data Variability
Category: Variance Analysis

What you'll learn

  • Explain the logic of the Pearson correlation and its appropriate uses.

  • Describe a correlation in terms of direction and strength.

  • Explain the use of contingency tables to describe patterns of association between variables.

Skills you'll gain

Category: Contingency Table
Category: Contingency Tables
Category: Correlation Analysis
Category: Data Analysis
Category: Social Statistics

Instructors

Peter Cardamone
American Psychological Association
1 Course7 learners

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