BBH 310 - Research Strategies for Studying BBH: Scientific Understanding of Behavior

Research Foundations in Biobehavioral Health

  • Definition of Research: According to Remler and Van Ryzin (Research Methods in Practice, 2nd ed., 2015), research is defined as a "social and intellectual activity that involves systematic inquiry aimed at accurately describing and explaining the world."
  • Core Characteristics of Scientific Research:
    • May be primary (collecting original data) or secondary (analyzing existing data).
    • Manifests in diverse methodologies, study designs, and scales.
    • Is inherently fallible and imperfect.
    • Frequently aims to generalize findings from a sample to broader populations.
    • Involves institutionalized competition, critical evaluation, and continuous peer debate.
    • Incorporates quantitative methods, qualitative methods, or mixed-methods approaches.
    • Can be categorized along a spectrum from basic theoretical science to applied practical interventions.

Importance of Research Literacy and Consuming Research

  • Becoming a Skilled Consumer of Scientific Literature:
    • Professional Necessity: Numerous careers require applying empirical research findings to practice, including clinicians, healthcare providers, corporate leaders, market analysts, and educators.
    • Medical Practice Translation: Healthcare professionals systematically review high-impact peer-reviewed medical journals to integrate cutting-edge evidence into direct clinical practice. Core medical publications include:
    • New England Journal of Medicine (NEJM)
    • Journal of the American Medical Association (JAMA)
    • The Lancet
    • British Medical Journal (BMJ)
    • Annals of Internal Medicine
    • Corporate and Market Optimization: Social media user data is systematically analyzed to adapt products and services (von Hoffen et al., 2017, Information Systems and e-Business Management):
    • Airbnb analyzes social media user feedback to modify platform services.
    • Starbucks actively tracks social media trends to guide new product development.
  • Public Policy and Legal Precedents:
    • Behavioral, developmental, and neuroscientific research directly impacts local, state, and federal policies.
    • Adolescent Sleep and School Start Times: The American Psychological Association (APA) highlights that delaying high school start times yields quantifiable improvements in adolescent health and academic metrics:
    • Increased total sleep duration.
    • Higher school attendance rates.
    • Enhanced classroom attention and cognitive focus.
    • Higher Grade Point Averages (GPAs) and academic performance.
    • Elevated college admission test scores.
    • Improved quality of family interactions.
    • Empirical Sleep Study Findings: A national urban cohort study published in Sleep Health by Nahmod, Lee, Buxton, Chang, and Hale (2017) demonstrated that high school start times after 8:30 AM are significantly associated with later wake times and increased total time in bed compared to earlier start times.

Time in Bed and School Start Times Graph

  • Juvenile Justice Regulations: The United States Supreme Court integrated developmental psychology and neuroscience research regarding adolescent brain maturity to establish that severe juvenile sentences violate the Eighth Amendment's prohibition against cruel and unusual punishment:
    • Roper v. Simmons (2005): Abolished the death penalty for crimes committed while under the age of 18.
    • Graham v. Florida (2010): Banned life imprisonment without the possibility of parole (LWOP) for juveniles convicted of non-homicide offenses.
    • Miller v. Alabama (2012): Struck down mandatory life sentences without parole (LWOP) for juvenile offenders convicted of homicide.
    • Program Development, Performance Management, and Evaluation:
  • Performance Management: Systematic measurement of current organizational or clinical outcomes to identify areas requiring quality improvement.
  • Evaluation Research: Empirical assessment to determine whether specific interventions or policy changes achieve their intended outcomes.
  • Key Literature Examples:
    • Schroers, Ross, and Moriarty (2020, Joint Commission Journal on Quality and Patient Safety): Qualitative systematic review analyzing nurses' perceived causes of medication administration errors.
    • Ullberg, Toivanen, Tillander, and Bälter (2023, Frontiers in Public Health): Evaluation of workplace health promotion initiatives to facilitate physical activity among Swedish office workers.
    • Casimiro-Andújar, Checa, Lirola, and Artés-Rodríguez (2023, International Journal of Environmental Research and Public Health): Qualitative investigation on promoting workplace physical activity among university personnel in Spain.
    • Addressing Fundamental Scientific Questions:
  • Research methodologies provide structured strategies to investigate complex behavioral and health questions:
    • Impact of social media usage (e.g., Instagram) on self-image and mental health.
    • Factors influencing altruistic behavior versus bystander apathy.
    • Long-term developmental impacts of adverse early childhood experiences.
    • Biological and environmental etiology of clinical depression and severe anxiety disorders.
    • Systemic impacts of racism on physiological and psychological health.
    • Mechanisms driving gender identity development.
    • Determinants of human flourishing and psychological resilience.

Evaluating Ways of Knowing: Non-Scientific Approaches vs. Scientific Empiricism

  • Non-Scientific Ways of Knowing:
    • Intuition: Accepting conclusions based on personal feelings, gut instincts, or immediate cognitive processing without structured logical reasoning.
    • Subject to significant cognitive and motivational biases.
    • Illusory Correlation: A cognitive bias where two salient, memorable events occur in close temporal proximity, leading an individual to perceive a false relationship or causal link between them when none exists.
    • Anecdote: Personal accounts, individual stories, narratives, or urban legends used to draw sweeping conclusions.
    • Unreliable due to lack of systematic measurement, absence of control groups, and selective recall.
    • Authority: Blindly accepting assertions as factual simply because they originate from prestigious, powerful, or trusted sources (e.g., news outlets, books, celebrities, government officials, religious leaders, or academic figures).
    • While authoritative figures may possess valid information, their assertions are not immune to error. The scientific framework explicitly prohibits accepting claims based solely on authority or faith.
  • The Scientific Approach and Empiricism:
    • Scientific Skepticism: The standard practice of evaluating all claims, ideas, and observations using systematic logic, rigorous methodology, and empirical evidence rather than baseline trust.
    • Empiricism: The practice of acquiring knowledge through structured observation and experimentation. Empirical data collected under standardized conditions serve as the sole baseline for scientific conclusions.
    • Goodstein's Evolved Theory of Science (2000): Outlines four core features of scientific inquiry:
    • Data Play a Central Role: Scientific theories must be supported by empirical observations and verifiable data.
    • Scientists Are Not Alone: Research is conducted within an open community where methodologies and findings are shared, scrutinized, and replicated.
    • Science Is Adversarial: Hypotheses are continuously tested, debated, and challenged.
      • Falsifiability: A critical criterion stating that any valid scientific hypothesis must be testable and structured in such a way that empirical evidence could potentially prove it false.
    • Scientific Evidence Is Peer Reviewed:
      • Peer Review: A rigorous screening process where expert scientists in the same field critically evaluate a study's methodology, statistical rigor, and conclusions prior to publication.
    • Advantage of the Scientific Approach: Establishes objective, standardized rules for gathering, interpreting, and communicating observations, ensuring personal beliefs and opinions are separated from empirical evidence.

Identifying Pseudoscience and Evaluating Health Claims

  • Definition of Pseudoscience: The application of scientific-sounding terminology, superficial equipment, or non-rigorous demonstrations to support claims that lack empirical foundation and scientific validity.
  • Indicators of Pseudoscientific Claims:
    • Assertions are non-falsifiable and cannot be empirically tested or disproven.
    • Reliance on vague, ambiguous, or scientific-sounding jargon without clear operational definitions.
    • Heavy reliance on personal testimonials, anecdotal success stories, or subjective ratings instead of controlled data.
    • Claims supported by self-proclaimed "experts" lacking credible, relevant credentials or peer-reviewed publication records.
    • Confirmation bias: selective highlighting of positive results while ignoring or dismissing conflicting scientific evidence.
    • Methodologies are obfuscated or proprietary, preventing independent verification and replication.
  • Case Examples in Health and Behavioral Science:
    • Facilitated Communication: A disproven procedure where a facilitator supports the hand or arm of a non-verbal individual with severe autism to assist in typing. Controlled studies proved that the typed messages originated entirely from the facilitator rather than the individual.
    • Astrology: The belief that celestial movements influence human personality and terrestrial events. Whenever astrological predictions have been operationalized for empirical testing, scientific studies have consistently falsified them.
    • Feng Shui: An ancient Chinese system of spatial aesthetics and environmental energy (qi). Evidence remains entirely anecdotal, lacks a plausible biological or physical mechanism, and exhibits major contradictions between different practitioners.
    • Carnivore Diet: An extreme diet restricting consumption strictly to animal products. Lacks long-term clinical trial evidence, poses significant cardiovascular and metabolic health risks, and carries high environmental costs.
    • Aromatherapy: Use of plant-derived essential oils claiming to improve physiological and psychological outcomes.
    • Empirical Synthesis (Gong et al., 2020, Journal of Affective Disorders): A systematic meta-analysis evaluated 25 articles comprising 32 randomized controlled trials (RCTs) investigating the effect of essential oil inhalation and massage on anxiety using the Spielberger State-Trait Anxiety Inventory (STAI).
    • Quantitative Findings: Aromatherapy produced statistically significant reductions in anxiety:
      • State Anxiety Inventory (SAI) weighted mean difference = −5.16-5.16 (95% CI:[−5.78,−4.55]95\%\,\text{CI}: [-5.78, -4.55], p<0.001p < 0.001).
      • Trait Anxiety Inventory (TAI) weighted mean difference = −2.85-2.85 (95% CI:[−3.95,−1.75]95\%\,\text{CI}: [-3.95, -1.75], p<0.001p < 0.001).
    • Illustrates how scientific research methodologies (meta-analyses of RCTs) can rigorously evaluate complementary health interventions.

Four Goals of Behavioral Science and Inferring Causation

  • The Four Major Goals of Scientific Behavioral Research:
    • 1. Description: Systematically observing, defining, and categorizing behaviors and events.
    • Examines both directly observable metrics (e.g., daily step counts) and latent unobservable constructs (e.g., chronic stress, mood, mild cognitive impairment).
    • Evaluates how variables systematically relate (e.g., investigating gender differences in public space utilization or tracking screen time during COVID-19 lockdowns).
    • 2. Prediction: Anticipating future behaviors or health outcomes based on observed relationships between variables.
    • Example: Identifying an association between early childhood poverty and reduced academic achievement allows researchers to predict academic trajectories for children in low-socioeconomic status environments.
    • Critical Note: Predictions are probabilistic. A predictive correlation between two variables does not establish that one directly causes the other.
    • 3. Determination of Cause: Identifying explicit causal relationships between specific variables.
    • 4. Explanation of Behavior: Understanding why a causal relationship exists and uncovering the underlying biological, psychological, or social mechanisms.
    • Mechanistic understanding allows researchers to design effective clinical interventions to improve population health and equity.
    • Science operates as an iterative cycle: new empirical findings continually generate new questions, forcing existing explanations to be refined, expanded, or discarded.
  • Three Essential Criteria for Inferring Causation (Cook & Campbell, 1979):
    • Temporal Precedence: The hypothesized cause must precede the observed effect in chronological time (Cause→Effect\text{Cause} \rightarrow \text{Effect}).
    • Covariation of Cause and Effect: The cause and effect must vary together systematically:
    • When the cause is present, the effect occurs.
    • When the cause is absent, the effect does not occur.
    • Elimination of Alternative Explanations: All extraneous or confounding variables that could account for the observed effect must be ruled out through rigorous experimental control or statistical adjustments.
  • Correlational Relationships vs. Direct Causation:
    • Correlation: A statistical association where changes in variable A systematically correspond with changes in variable B.
    • Causation: A direct mechanism where manipulating variable A causes a direct change in variable B.
    • Alternative Causal Structures in Correlational Data:
    • Reverse Causation: Incorrectly assuming variable A causes variable B, when in reality variable B directly causes variable A (B→AB \rightarrow A).
    • Common Cause / Spurious Relationship: An unmeasured third variable (C) independently causes changes in both variable A and variable B (C→AC \rightarrow A and C→BC \rightarrow B), producing a deceptive statistical correlation between A and B without any direct causal link.

Categorizing Scientific Investigations: Basic vs. Applied Research

  • Basic Research:
    • Designed to address theoretical questions regarding fundamental biological, behavioral, and psychological processes.
    • Focuses on expanding the general body of scientific knowledge rather than immediate clinical application.
    • Essential for long-term societal benefit; theoretical discoveries frequently lead to unforeseen practical interventions.
  • Applied Research:
    • Designed to solve specific, immediate real-world problems and implement direct interventions.
    • Program Evaluation: A core branch of applied research focused on assessing the efficacy, outcomes, and safety of new policy changes, health initiatives, or clinical interventions.
    • Implementation Science: The study of strategies used to effectively integrate and scale up evidence-based programs within real-world clinical and community settings.
  • Direct Comparison of Research Categories:
    • Basic Research Characteristics: Expands core knowledge, theoretical orientation, general knowledge-specific, explanatory focus.
    • Applied Research Characteristics: Solution-driven, practical orientation, specific problem-focused, action-oriented.
    • Interdependence: Basic and applied scientific approaches are complementary. Applied research relies on basic science principles to design interventions, while applied research challenges generate new questions that propel basic theoretical science forward.