Key Topics in Quantitative Research

This book gives an overview of the key topics in quantitative methods. Written by an academic who has specialised in quantitative methods in Psychology across a range of sub disciplines, it highlights how crucial understanding quantitative methods is to understanding research in psychology and beyond.

Autorentext

Paul Christiansen is a professor in statistics at the Department of Psychology in University of Liverpool. He is interested in research integrity with a particular focus on accurate measurement (psychometrics). He works across a range of fields in Psychology (appetite and obesity, addiction, forensic and health psychology) as well as medical research.

Inhalt

Section 1 Key Foundations

1.1: Introduction
1.2: Key early figures in quantitative methods
1.3: Understanding psychological phenomena through numbers
1.4: The types of numerical data we encounter and their properties

Section 2 Key Theories: An overview of the key theories and models relevant to the topic
2.1: Experimental models
2.2: Quasi experimental models
2.3: Correlational models
2.4: Sampling theory
2.5: Null hypothesis significance testing

Section 3 Key Methodologies: which research techniques are typically used for research on this topic
3.1: Sampling methods
3.2: Testing associations
3.3: Comparing differences

Section 4 Key Impacts on Research or Practice and Policy: What wider impact has this topic had on the field/other fields/practice/policy
4.1: Robust quantitative methods and ecological validity of studies
4.2: Robust quantitative methods and reliability of studies

Section 5 Key Emerging Areas: Where is the research headed
5.1: Reproducibility crisis
5.2: Increasing reproducibility
5.3: Inclusivity in research