PSYC1000 W25 Week 2_Posted
Principles of Scientific Research
Psychologists utilize research to explore cause-and-effect relationships.
Example research topics:
Nature of memory.
Brain function.
Emotional expression.
Types of Research:
Basic research: Seeks to answer theoretical questions.
Applied research: Aims to address real-world problems using theoretical insights.
Characteristics of Quality Scientific Research
Five Characteristics:
Based on objective, valid, and reliable measurements.
Findings should be generalizable.
Implementation of techniques that reduce bias.
Research must be made public.
Research must be replicable by others.
Objectivity vs. Subjectivity in Research
Objectivity:
Foundation of scientific methodology; involves objective measurements consistent across different observers.
Subjectivity:
Personal interpretations of events influenced by biases and prior experiences.
Scientific Measurement: Variables
Variables are fundamental in psychology research—any object, concept, or event being measured or manipulated.
Instruments like standardized surveys assist in measuring these variables.
Operational Definitions in Research
Operational Definitions specify procedures and measures used in observations.
Multiple operational definitions may exist for a single variable.
Reliability and Validity in Measurements
Reliability: Consistency of measurements.
Types of Reliability:
Test-retest reliability.
Interrater reliability.
Validity: Extent to which a measure accurately reflects the concept it aims to assess.
Essential for a measure to be valid, it must first be reliable.
Causation Between Variables
Research can explore relationships, e.g., debt stress and health issues.
Questions to consider:
Does debt stress cause health problems?
Do health problems lead to debt stress?
Is there an external variable influencing both?
Generalizability of Research Results
Important for findings to apply to real-world contexts outside the lab.
Random Sampling: Crucial for accurately reflecting the population.
Sources of Bias in Psychological Research
Objective research must minimize bias.
Types of Bias:
Researcher bias from those conducting measurements.
Participant bias from subjects being observed.
Techniques to Reduce Bias
Anonymity and confidentiality for participants can diminish bias.
Procedures:
Single-blind: Participants unaware of the study purpose or treatment type.
Double-blind: Both participants and experimenters are unaware of treatment specifics.
Characteristics of Poor Research
Five Characteristics:
Lack of falsifiable hypotheses.
Reliance on anecdotal evidence instead of solid data.
Selective data reporting.
Appeals to Authority and Common Sense:
Claims must be supported by data, not just ‘expert’ opinion or intuition.
Scientific Research Designs
Good research begins with a focused research question (e.g., factors affecting the color of the sky).
Hypothesis formulation includes operational definitions of the problem.
Testing hypotheses through appropriate research methods is necessary.
Types of Research Designs
Researchers select methods for testing hypotheses based on research goals:
Quantitative Research: Statistics-driven.
Qualitative Research: Interviews and participant insights.
Mixed Methods: Combination of both types.
Overview of Major Research Methods
Types of Research:
Experimental Research: Control and manipulation of variables.
Descriptive Research: Observations, surveys, case studies.
Correlational Research: Analyzing relationships between variables.
Biological Research: Studying neurological systems.
Goals:
Identify cause-and-effect relationships.
Describe and record behaviors.
Clarify variable relationships and predictions.
Ethics and Research Guidelines
Strict adherence to ethical standards for human participants:
Informed consent.
Voluntary participation.
Debriefing and confidentiality.
Oversight is provided by The Canadian Tri-Council Research Ethics Code.
Core Principles of the Canadian Tri-Council Research Ethics Code
Respect for human dignity and informed consent.
Protection of vulnerable persons.
Privacy, confidentiality, and justice.
Balancing potential harms with benefits of research.
Descriptive Statistics
Importance of descriptive statistics for interpreting research outcomes.
Key concepts include:
Frequencies
Distributions (Normal vs. Skewed)
Central Tendencies: Mean, median, mode.
Variability: Standard deviation and hypothesis testing.