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.
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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
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
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