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Introduction to Research Methods & Statistics - Semester 1, Lecture 1

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Psychology (Introduction to Research Methods & Statistics) Flashcards on Introduction to Research Methods & Statistics - Semester 1, Lecture 1, created by Beth Cavanagh on 25/04/2019.
Beth Cavanagh
Flashcards by Beth Cavanagh, updated more than 1 year ago
Beth Cavanagh
Created by Beth Cavanagh about 6 years ago
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Question Answer
Quantitative Research Derived from natural sciences Acquire & test knowledge through systematic observation/experimentation & objective measurement Theories are developed from observations / measurements
Falsifiability Our theory must predict both what will happen & what will NOT happen: it must be possible, in principle, to prove the theory wrong.
Methodological Naturalism Theories must restrict themselves to the physical, natural world, without recourse to the supernatural or magical.
Parsimony Theories with fewer unjustified assumptions are preferred.
Dualism The idea that our minds have a dual nature. Material component: brain, hormones, blood, etc. Immaterial component: a supernatural spirit, soul, or energy that uses the brain to interface with the physical world. This does not match any of the criteria of a scientific theory.
Research Process Steps 1. Problem 2. Model & Hypothesis 3. Research Design 4. Measurement 5. Data Collection 6. Data Analysis 7. Generalisation
Quantitative Qualitative Concerned with statistics, data collection, systematic analysis, sample size. Concerned with themes, discourse, complex thoughts & feelings; doesn’t involve maths or statistics.
Statistics The science of collecting, describing & interpreting numerical data, especially the analysis of population characteristics by inference from sampling.
Heuristics/Informal Reasoning Rules which people often use to form judgements and make decisions. They are mental shortcuts that usually involve focusing on one aspect of a complex problem and ignoring others. This type of thinking is fast & efficient, & often makes correct decisions, but is vulnerable to bias and false belief.
Positive Evididence We have a bias to looking for positive evidence to support our theories. We are also selectively exposed to information that re-validates our beliefs. Science & statistics was developed in opposition to these flaws in human intuition and reasoning.
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