The Process of Scientific Research Notes

Primary Objective of Scientific Research: The fundamental goal across all scientific disciplines is to gain a deeper, more accurate understanding of the surrounding world.
Focus Areas of Psychological Science:
- Behavioral Attention: Directing focus toward observable action and behavior.
- Underlying Mechanisms: Investigating the cognitive (mental) and physiological (bodily/neurological) processes that drive and shape behavior.
- Observability Distinction: Behavior is directly observable, whereas the internal workings of the human mind are non-observable. Scientific inquiry seeks to uncover and explain the underlying "why" behind observable behaviors.
Consequences of Omitting Research: Without systematic scientific investigation, understanding relies entirely on flawed alternatives:
- Intuition: Unverified gut feelings or subjective impressions.
- External Authority: Uncritical acceptance of what other people communicate or assert.
- Blind Luck: Random chance without empirical verification or systematic reasoning.

Myth 1: "We only use $10\%$ of our brain":
- Status: Completely debunked.
- Scientific Reality: Modern neuroscience demonstrates through neuroimaging and physiological studies that virtually all areas of the brain have active functions, and no large region remains completely dormant or unused.
Myth 2: "Correlation Equals Causation":
- Status: False and misleading assumption.
- Scientific Reality: A correlation between two variables does not prove that one variable directly causes the other to occur.
- Exemplar Scenario: Ice cream sales and shark attacks both show a strong positive correlation, rising simultaneously during summer months. Neither causes the other; instead, both are influenced by a third underlying variable (warm summer weather and increased ocean swimming).
Myth 3: "A bigger sample is always better":
- Status: Incorrect generalization.
- Scientific Reality: Increasing sample size does not fix structural flaws in sampling method. A large sample provides unreliable and invalid conclusions if it suffers from sampling bias.

Daniel J. Simons selective attention basketball passing experiment (2010)

Hypothesis: A specific, testable prediction regarding how the world will behave under given conditions if a theoretical idea is correct.
Population: The entire, complete group of individuals or instances about which a researcher wishes to draw conclusions.
Sample: A subset of individuals selected from the broader population to participate in a study.
Bias: Systematic error or deviation from the truth in sampling, data collection, or interpretation that skews results.
Correlation: A statistical relationship or association measuring how closely two or more variables co-vary.
Control Group: A baseline group in an experiment that does not receive the experimental treatment or manipulation, used as a benchmark to compare results.
Placebo Effect: A phenomenon where participants experience actual changes or outcomes purely due to their expectations rather than an active experimental treatment.
Variable: Any factor, characteristic, or condition that can exist in differing amounts or types and can be measured or manipulated.
Reliability: The consistency, stability, and repeatability of a measure or research outcome across multiple trials or evaluations.
Validity: The accuracy and soundness of a measure or study—specifically, whether a tool or experiment measures what it claims to measure.

Dual Modes of Scientific Reasoning:
- Inductive Reasoning: Moving from specific empirical observations to the formulation of broad general principles, theories, and patterns.
- Deductive Reasoning: Moving from general theories and existing hypotheses to specific predictions that are empirically tested through observation.
Iterative Workflow of Scientific Inquiry:
1. Theory Formulation: Constructing a broad framework or set of explanations regarding a phenomenon.
2. Hypothesis Generation: Formulating specific, testable predictions derived directly from the overarching theory.
3. Data Collection: Gathering empirical observations and experimental measurements in a structured environment.
4. Data Analysis: Processing, quantifying, and evaluating collected empirical evidence using analytical techniques.
5. Theoretical Confirmation or Modification:
  - If data align with predictions, the findings confirm the theory.
  - If data contradict predictions, researchers must modify the theory to align with empirical realities.
6. Summary and Reporting: Summarizing outcomes and reporting findings to the broader scientific community, which continuously feeds back into refined hypotheses and further empirical testing.

Step 1: Research Question: Defining a clear, targeted, and answerable query about a specific behavioral or cognitive phenomenon.
Step 2: Hypothesis: Formulating a clear, testable prediction that answers the research question based on theoretical grounds.
Step 3: Variables Identification: Defining independent variables (manipulated factors), dependent variables (measured outcomes), and controlled variables (held constant).
Step 4: Procedure: Outlining a standardized, step-by-step operational protocol to carry out data collection, control for confounding factors, and ensure replication.

Primary Psychology Reference: Spielman, R. M., Jenkins, W. J., & Lovett, M. D. (2020). Psychology 2e. Rice University.
Selective Attention Research: Simons, D. J. (2010). Visual Attention and Inattentional Blindness Research Studies.