Notes on Scientific Psychology, Levels of Analysis, and Evidence-Based Study Skills

Scientific Psychology vs Intuition

• Goal of the course: understand what makes psychology a science and how it differs from our everyday intuition.

• Key aim: relate intuitive ideas to scientific psychology, using findings from cognitive and educational psychology to study and to analyze data.

• Emphasis on expanding study skills and repertoire beyond what you learned in high school or other settings.

• Brief history of psychology will be touched to frame what we’ll learn in later units.

Course Context and People

• Introduction of Sequora Kasimir (Zekora Kasimir in the transcript): a Diamond Peer Teacher and senior at Temple.

• Sequora works with CLI advising and in the lab on assessments and interventions for fourth graders at Dunbar focused on teaching, problem solving, and health-related interventions.

• Sequora has research and clinical experience and serves as a reliable course resource.

• Office hours: Zoom, 2:30–3:30 PM; will be recorded and posted; attendance is not strictly required for office hours but is for recitation.

• Required vs optional: attendance at lecture is required for participation in learning; recitation is where practice and review happen.

The Mind, Measurement, and Levels of Analysis

• Philosophical questions about the mind exist alongside brain/neuroscience questions; we study valid, observable constructs.

• We use multiple levels of analysis to understand constructs and measure them in ways that are observable.

• Depression is used as an example to illustrate levels of explanation from social to molecular.

• You don’t measure everything; you measure the factors important for the questions you’re asking.

• Different levels of analysis are studied by different teams of researchers; the question determines the level of analysis.

Depression Across Levels of Explanation

• Social level: focus on dynamics, relationships, and social context; not about giving medications.

  • Emphasis on coping skills and mindfulness as general tools for everyone.

• Neurochemical level: neurotransmitters and neurochemical differences related to depression (e.g., serotonin, norepinephrine).

  • Purpose of this research: to improve treatment effectiveness.

  • Medication timelines: antidepressants do not act immediately; onset typically takes $2 ext{ to } 3 ext{ weeks}$ after titration.

  • Example: patients and clinicians track changes over time and real-world variability in response.

• Neurological/physiological level: autonomic nervous system, fight-or-flight responses; questions about exercise, yoga, and relaxation as physiological interventions.

• Mental, behavioral, and social levels: Cognitive Behavioral Therapy (CBT) as a framework; triad of thoughts, feelings, and behaviors; changing one part can influence others.

  • CBT triad: thoughts (cognitions), emotions, behaviors.

  • If you modify negative thoughts, you can improve emotions and related behaviors (e.g., countering the belief “things never work out for me” with evidence of resilience).

• Molecular level: genetic polymorphisms and gene–environment interactions; examples include the serotonin transporter gene (5-HTTLPR).

  • Alleles can be long (L) or short (S); having two short alleles with a stressor increases risk for depression; two long alleles are more protective; one short and one long reduces risk in some cases (illustrative).

  • Genetic differences can also influence how individuals metabolize medications (e.g., some patients metabolize certain antidepressants more quickly).

• The big picture: multiple levels provide complementary information; each level yields different kinds of data and implications for treatment.

Validity, Evidence, and Scientific Reasoning in Psychology

• Psychological scientists aim to assess the quality vs. quantity of information: how solid and generalizable the data are.

• Design and evidence quality: use controlled designs (e.g., randomized comparisons) to test specific claims.

• Example: evaluating a knee-pain remedy using a controlled trial: random assignment to a medication vs placebo and measurement after a fixed period to determine if there is a true effect.

• Phenomena should be observable and testable. Some theories (e.g., Freud’s unconscious) are theoretically interesting but difficult to test empirically, limiting their scientific testability.

• Summary of the scientific process:

  • Systematic observations generate hypotheses.

  • Hypotheses are tested; consistent support leads to theories.

  • Science is democratic and cumulative: findings are open to replication and revision; theories adapt in light of new data.

• Example from education research: teachers may perceive students as lacking empathy, but data may reveal anxiety as the underlying factor; replication and broader samples may shift conclusions.

Effective Learning: Data from Classrooms

• Two major data themes:
  1) Laptop use in class and learning outcomes
  2) Note-taking format (typing vs handwriting) and study strategies

• Laptop study: 85 students; 15 lectures (~2 hours each); tracked time spent online during lectures.

  • Academic content minutes per lecture: $4 ext{ minutes}$ on average.

  • Nonacademic content minutes per lecture: $0.5 ext{ minutes}$ (30 seconds).

  • Across the hour-and-a-half, almost 10x more time was spent on nonacademic sites than on lecture content.

  • Nonacademic internet activity included $539 ext{ requests}$ to nonacademic sites vs about $5 ext{ academic}$ requests.

  • Higher overall internet use correlated with poorer performance on exams, contradicting the multitasking belief.

• Note-taking: typing vs handwriting

  • Typing tends to produce more words but not necessarily better learning; more material to review later.

  • Handwriting or slower note-taking can capture key ideas more effectively and support better later recall.

  • Typing verbatim can cause cognitive overload and reduce deep processing; better to summarize and capture main points.

• Lecture recordings are captioned and accessible; use them as study support, not as the sole learning activity.

• The Cournot method for notes (a structured note-taking approach):

  • During class, create notes with:

  • Keywords

  • Main ideas

  • Questions you have

  • A short summary

  • Example layout in practice:

  • Day’s notes (today’s lecture)

  • A column for keywords and questions

  • A separate summary at the bottom

  • The goal: produce concise, high-quality notes you can review later to identify recurring themes and hypotheses.

• Studying with notes: extract hypotheses, main ideas, and themes; generate questions to test yourself in recitation or with the lecturer.

Study Strategies That Work: Practice Testing and Distributed Practice

• Practice testing is highly effective: test yourself on material repeatedly rather than just rereading.

• Distributed (spaced) practice is superior to massed practice:

  • Longer gaps between study sessions generally improve long-term retention.

  • Regular daily engagement with material yields higher performance on exams.

• Practical scheduling tips:

  • Put study blocks into your calendar just like any other obligation (e.g., study for Intro for 20 minutes on Thursday after recitation).

  • Use structured study blocks to maintain consistency.

• Recitation and questions:

  • Use recitation to answer questions and test understanding.

  • Bring questions from your notes or they can be provided by the instructor.

• Recordings and review:

  • Recordings are available the Thursday before the next exam; use them for review and to reinforce learning.

• Overall takeaway: develop organized notes, actively engage with material, practice with tests, and distribute study time rather than cramming.

Practical and Ethical Considerations

• Ethics and history of psychology will be discussed as part of the curriculum to ground practice in ethical guidelines and historical context.

• The course emphasizes data-driven conclusions, transparency in methods, and critical evaluation of evidence.

• Real-world relevance includes clinical intervention planning, educational practices, and understanding how different levels of analysis inform treatment and policy.

Recap and Core Takeaways

• Psychology is a science that requires observable, testable phenomena and systematic data collection.

• Depression can be understood across multiple levels of analysis (social, neurochemical, neurological, cognitive-behavioral, and genetic) with each level contributing unique insights and treatment implications.

• CBT’s triad highlights how thoughts, feelings, and behaviors interact; changing one element can influence the others.

• Scientific psychology values testable hypotheses, replication, and cumulative knowledge; beliefs must be supported by data.

• In learning contexts, multitasking and heavy nonacademic internet use can impair exam performance; note-taking quality matters more than raw word count.

• The Cournot method provides a practical template for organizing notes to support effective study.

• Practice testing and distributed practice are among the most robust methods for improving retention and performance.

• Organization, scheduling, and use of available recordings can enhance study efficiency and outcomes.

• Ethical practice and historical context are essential foundations for responsible psychological science.

Quiz 1: on the syallaybus open moday september 1st at 9am- wednesdau, september 3rd at 8pm