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Term 3 (Mid-Terms) | Experimental Psychology (7th Ed.) CH. 01 | EXPERIMENTAL PSYCHOLOGY & THE SCIENTIFIC METHOD Experimental Psychology & The Scientific Method ● Science comes from the Latin word scientia , meaning knowledge. ● Science – in modern usage, it refers to a systematic way of acquiring reliable knowledge about the world through observation, testing, and evidence. ● Psychology – is the scientific study of behavior and mental processes; uses scientific methods to understand how people think, feel, and act. ➔ Behavior includes observable actions, while mental processes include internal experiences. ● Psychological research relies on a scientific approach, which includes:
- Systematic Observation – behavior is observed in an organized and structured way rather than casually.
- Controlled Conditions – researchers attempt to control variables that might influence behavior; allows to determine cause-and-effect relationships.
- Evidence-Based Explanations of Behavior – explanations must be supported by empirical evidence (observable and measurable data). Conclusions are based on data collected through research. ● Science can be understood in two related ways:
- Content – refers to the knowledge that has been accumulated through scientific research (e.g., facts, principles, and theories).
- Process – refers to the methods used to collect, analyze, and interpret data (e.g., experimentation, measurement, and statistical analysis). ● Psychological Science – involves research aimed at understanding the psychological processes that underlie behavior. ● Psychologists use various research methods to investigate behavior:
- Laboratory Experiments – conducted in controlled environments where variables can be carefully manipulated; often used to study perception, cognition, learning, and social behavior.
- Surveys – collect information from people through questionnaires or interviews; commonly used to study attitudes, opinions, or behaviors in large populations.
- Naturalistic Observation – involves observing behavior in real-world settings without interference; useful for studying behavior as it naturally occurs.
- Clinical Methods – used in applied or therapeutic settings; include psychological tests, case studies, and observations during therapy sessions. ● Regardless of the method used, all psychological data must be evaluated using scientific standards, including reliability, validity, and objective analysis. The Need for Scientific Methodology The Need for Scientific Methodology ● In daily life, people constantly observe and interpret the behavior of others to guide their actions. These judgments help individuals predict how others might behave in certain situations (e.g., avoiding asking favors from someone in a bad mood, dressing well for interviews, keeping incompatible friends apart). ➔ Although these judgments may sometimes be helpful, they are not always accurate or reliable. ● Commonsense Psychology – refers to informal explanations of behavior based on personal experience, intuition, or cultural beliefs; relies on everyday observations. ➔ Heider (1958) described this kind of informal reasoning as nonscientific data gathering about human behavior. ● Commonsense psychology influences people's beliefs about why others behave the way they do, expectations in social relationships, decisions about how to interact with others (e.g., “opposites attract”). ● Although commonsense explanations can sometimes appear reasonable, they often produce inaccurate or misleading conclusions because: ➔ It is based on limited personal experiences. ➔ It uses small, non-representative samples of behavior. ➔ It is influenced by biases and what we’ve heard from others. ➔ It can produce conflicting conclusions (e.g., “absence makes the heart grow fonder” vs. “out of sight, out of mind”). ● Commonsense psychology relies on nonscientific sources of information. These sources often lack
Term 3 (Mid-Terms) | Experimental Psychology (7th Ed.) systematic observation and objective evaluation, making them less reliable than scientific evidence. ● As everyday observers, people face two major limitations that reduce the accuracy of their judgments:
- Sources of Psychological Information: Individuals often rely on incomplete or biased information when interpreting behavior.
- Inferential Strategies: People use informal reasoning processes to draw conclusions from observations. ● Because of these limitations, psychology relies on the scientific method, which provides systematic procedures for collecting and interpreting behavioral data more accurately. Nonscientific Sources of Data ● In everyday life, people gather psychological information from informal and nonscientific sources. ● Commonsense psychology frequently relies on familiar sources, such as friends, family, admired people, media, books. ➔ These sources may appear trustworthy, but they often provide opinions, anecdotes, or incomplete evidence rather than scientifically verified information. ● Once beliefs form, they often become stable and resistant to change. People rarely take the time to systematically test whether their assumptions are actually correct. ● Confirmation Bias – the tendency to notice, remember, and give greater weight to information that supports existing beliefs while ignoring contradictory evidence. ➔ Reinforces previously held assumptions, even if they are incorrect. ➔ Ex: The belief that full moons cause unusual behavior (“lunatic”). ● Many beliefs about behavior arise from cultural traditions, myths, or superstitions (e.g., crystals, horoscopes, knocking on wood, etc.). ➔ Most of these practices have no scientific basis, though in some cases beliefs themselves can influence behavior. For instance, anxiety surrounding Friday the 13th has been shown to affect people's behavior and perceptions. ● Persuasion by Certain Sources: People (who are attractive, popular, confident, an expert) are more likely to accept information when it comes from individuals who appear credible or appealing. ● Limits of Self-Observation: Individuals often believe they understand why they make certain decisions, but psychological research shows this is not always accurate. ➔ Many influences on behavior occur outside conscious awareness. ➔ Ex: In a well-known study, researchers played French or German music in a wine store. When French music played, customers purchased more French wine. When German music played, customers purchased more German wine. When asked afterward, most shoppers denied that the music influenced their choices. ● Behavior can also be shaped by subtle cues that people do not consciously recognize. ➔ For example, attractive individuals may be more persuasive, even when their attractiveness is unrelated to the message being communicated. ● Problems with Commonsense Inference ➔ Personal experiences often lead people to draw simple cause-and-effect conclusions about behavior. Because everyday reasoning can be misleading, psychology relies on scientific methods that test explanations through systematic observation and research. Nonscientific Inference ● Commonsense psychology involves informal reasoning processes. These reasoning strategies often lead to systematic errors in judgment. ● Trait-Based Judgments – people commonly explain behavior by attributing it to personality traits or stable characteristics. Individuals tend to assume that behavior reflects who someone is. ➔ Ex: If Stacy frequently checks her appearance, someone might conclude that she is vain. ● Ignoring Situational Factors: Situational circumstances can influence behavior, yet people often fail to consider these contextual factors. ➔ Although accuracy improves when we know someone well, we may still misinterpret behavior by overlooking situational pressures. ● Overestimating Trait Consistency: People tend to believe that personality traits predict behavior consistently across different situations. ➔ Research shows that individuals often overestimate this consistency by a large margin, sometimes by ten times or more. ● Stereotyping – occurs when people make assumptions about an individual based on group membership rather than personal characteristics.
Term 3 (Mid-Terms) | Experimental Psychology (7th Ed.) ● Researchers’ expectations can sometimes influence what they notice and report during research. This can lead to focusing only on predicted behavior and overlooking the unexpected. ● Scientists must rely on careful research design and critical thinking to minimize bias, and to avoid seeing only what a theory predicts. Good Thinking ● Good Thinking – an essential component of the scientific method; it ensures that scientific explanations are logical, clear, and supported by evidence. ● Data collection and interpretation must be systematic, objective, and rational. Scientists must avoid letting personal beliefs or expectations influence conclusions. ● Open-Mindedness – refers to the willingness to consider new ideas or evidence, even when they contradict existing beliefs or expectations. ➔ Scientists must be prepared to accept results that challenge their hypotheses. ➔ Conclusions should be derived from data, whether supportive or not. ● Parsimony – the principle that the simplest explanation that adequately explains the data should be preferred. ➔ Sometimes called Occam’s Razor; unnecessary complexity should be avoided when explaining phenomena. ● Ex: Crandall’s Bulimia Study (1988) ➔ Investigated the increase in bulimia among college women. ➔ Researchers considered several possible causes: (1) Social contagion, (2) social norms, (3) psychological disorders, and (4) epidemiological factors. ➔ The study followed sorority women over the course of an academic year. ➔ Findings: Women’s binge-eating behaviors became increasingly similar to those of their close friends over time. ➔ Conclusion: The social contagion explanation best matched the observed data. It was also the most parsimonious explanation. Self-Correction ● Self-Correction – modern science’s ability to correct itself over time. ● Science progresses through continuous updating and correction, replacing weaker theories with those supported by stronger evidence. ● Scientific knowledge is not permanent or unchangeable. As new evidence emerges, earlier explanations may be refined and replaced with stronger theories. ● Confidence in a scientific explanation increases when multiple studies produce consistent results. The more evidence that supports a theory, the more reliable and accepted it becomes. ● Popper argued that science progresses when new evidence supports a better explanation than the previous one. ● Ex: Media Violence and Aggression ➔ Social Learning Theory (Earlier Explanation): People imitate aggressive behaviors they observe in media. ➔ Cognitive Priming Theory (More Recent Explanation): Viewing violence activates aggressive thoughts and mental associations (schemas) already stored in memory. These activated ideas make aggressive responses more likely. ● This explains a wider range of aggressive responses. It accounts for aggression influenced by different types of media, such as television, films, and music. Publicizing Results ● Modern science depends heavily on communication and collaboration among researchers. ● Scientists do not work in isolation. Instead, they share their research with the broader scientific community through professional conferences and special interest meetings. ➔ These gatherings help researchers stay current with the latest findings. ● Thousands of studies are published each year in scientific journals. As research areas expand, new specialized journals are created to focus on particular topics within a discipline. ● Publicizing scientific results serves several purposes: ➔ Prevents unnecessary duplication of failures and successes. ➔ Allows researchers to build on each others’ work, speeding scientific progress. ➔ Ensures science remains dynamic, collaborative, and self-correcting. Replication ● Replication – the exact or systematic repetition of a research study in order to verify its findings; allows to determine whether similar results occur when the study is conducted again under similar conditions. ● Replication increases confidence that results are objective and reliable. When multiple studies produce similar outcomes, confidence in the validity of the findings increases.
Term 3 (Mid-Terms) | Experimental Psychology (7th Ed.) ● Some claims cannot be scientifically evaluated because they cannot be replicated or independently observed. ➔ Ex: A person may believe that their dream predicted a future event. Such experiences are subjective; other researchers cannot replicate the event. Because of this, these claims lack scientific value. ● Example of a Replicable Research: ➔ Suppose a study predicts children will imitate aggression seen on TV and this is confirmed, other researchers can repeat the experiment to verify the outcome. ➔ If repeated studies show similar results, the evidence for the effect becomes much stronger. ● Replication occurs in all scientific disciplines but is more common in the physical sciences than in behavioral sciences (e.g., 1989 cold fusion claim—numerous labs attempted replication but failed). ● Replication is more frequent when findings have major implications, or reported results challenge existing beliefs. The Objectives of Psychological Science The Objectives of Psychological Science
- Description – involves creating a systematic and unbiased account of observed behavior or psychological phenomena. The goal is to identify and document patterns of behavior. ● Case Studies – in-depth examinations of a single individual, group, or event. ● Field Studies – observations conducted in natural environments rather than controlled laboratory settings.
- Explanation – involves identifying the factors or conditions that cause or influence a particular behavior. Researchers attempt to determine why a phenomenon occurs. ● Correlational Studies – examine relationships between variables. ● Quasi-Experimental Studies – investigate cause-and-effect relationships when true experimental control is not possible.
- Prediction – refers to the ability to anticipate when certain behaviors are likely to occur. Researchers can forecast behavioral outcomes under specific conditions.
- Control – refers to the ability to influence or change behavior using scientific knowledge; involves designing interventions to produce desired outcomes. ● Often the ultimate goal of applied psychological research. Basic and Applied Research ● Basic Research – conducted to expand scientific knowledge and test theoretical explanations; focuses on understanding fundamental psychological processes. ➔ Ex: Research investigating why people help others in emergency situations. ● Applied Research – focuses on solving practical, real-world problems using psychological principles. ➔ Ex: Research examining methods to increase student graduation rates. The Scientific Method: Tools of Psychological Science The Scientific Method: Tools of Psychological Science
- Observation – involves the systematic noting and recording of behavior or events; must be conducted carefully and objectively to avoid bias. ● Often provides the initial data that inspire scientific questions and hypotheses.
- Measurement – the process of assigning numerical values to objects, events, or characteristics; allows to analyze data statistically and compare results across studies. ● A key feature of quantitative research, allowing psychological phenomena to be studied with precision.
- Experimentation – involves testing hypotheses through controlled manipulation of variables; allows to determine cause-and-effect relationships between variables. ● Through experimentation, psychologists can systematically test predictions derived from theories and evaluate their accuracy. Scientific Explanation in Psychological Science Antecedent & Treatment Conditions ● Antecedent Condition – the circumstances that come before the event or behavior that we want to explain. ● Treatment Condition – a specific set of antecedent conditions created by the experimenter and presented to subjects to test its effect on behavior. The Psychological Experiment ● Psychology Experiment – a controlled research procedure in which researchers apply at least two different treatment conditions to participants.
Term 3 (Mid-Terms) | Experimental Psychology (7th Ed.) ➔ These practices are generally not taught in accredited psychology programs because they lack reliable scientific evidence. ● Modern psychology became a legitimate science by adopting the principles of systematic investigation and empirical evidence. ● By rejecting pseudoscientific claims and embracing evidence-based methods, psychology continues to develop a deeper and more reliable understanding of human behavior. CH. 02 | RESEARCH ETHICS Research Ethics Research Ethics ● Research Ethics – refers to the principles and rules of proper conduct that guide researchers when designing and conducting studies. ➔ These ethical standards provide a framework of values that ensures research is carried out responsibly. ● A fundamental principle in psychological research is that the welfare and dignity of participants are just as important as the scientific goals of the study. ➔ Even if research could generate valuable knowledge, it is considered unethical if it poses serious harm or threat to participants. ● Ethics help researchers identify actions we consider acceptable or unacceptable, and explain the principles by which we make responsible decisions in actual situations. Relationship Between Law and Ethics ● Ethical conduct in research operates within a hierarchy of guidelines:
- Law – legal regulations governing research practices.
- Ethical Principles – broader moral guidelines about responsible behavior.
- Institutional and Professional Standards
- rules established by organizations that regulate research (e.g., APA, PAP). ● Institutional Review Boards (IRBs) – committees responsible for reviewing research proposals to ensure that they meet ethical standards before a study begins; composed of laypeople and researchers. ➔ All research involving human participants must undergo formal ethical review before it can be implemented to determine whether they follow established ethical guidelines. ➔ The IRB’s main task is to conduct a risk–benefit analysis; many of the law’s provisions are reflected in the ethical guidelines of the American Psychological Association (APA). ➔ An IRB may approve an at-risk study only if the expected scientific benefits outweigh the potential risks to participants. ➔ IRBs also ensure that researchers protect the rights, privacy, and welfare of participants, by making certain that each subject at risk gives informed consent to participate. ● Informed Consent – signifies that individuals voluntarily agree to participate in a study after being fully informed about its nature and procedures. ● Key Aspects of Informed Consent:
- Participants must be informed about the nature of the study so they understand what they are agreeing to.
- Consent must be given freely, without pressure, coercion, or manipulation.
- Participants must be told that they can leave the experiment at any time without penalty or negative consequences.
- Researchers must clearly describe what participants will be asked to do during the study and answer any questions.
- Participants must be informed about any possible risks, discomforts, or benefits associated with the research.
- Researchers must assure participants that their personal information and responses will remain private and confidential.
- Participants cannot be asked to waive their legal rights or release researchers from liability in case of injury or harm. Researchers remain responsible for the consequences of the study. The Evolution of Ethics in Research ● A major foundation for ethical research principles is the Belmont Report, which established three core principles guiding research with human participants. ● Three Basic Ethical Principles:
- Respect for Persons – recognizes that every individual is an autonomous person capable of making independent decisions.
Term 3 (Mid-Terms) | Experimental Psychology (7th Ed.) ➔ This principle forms the basis for informed consent, ensuring participants choose freely whether to participate.
- Beneficence – researchers must minimize potential harm and maximize possible benefits. ➔ This principle guides the risk–benefit analysis conducted before a study is approved.
- Justice – refers to fairness in the distribution of research burdens and benefits. ➔ No group should be unfairly selected to bear the risks of research/should be unfairly excluded from its benefits. The American Psychological Association Guidelines The American Psychological Association Guidelines ● Ethical standards for psychological research are largely guided by the American Psychological Association. ● APA ethical guidelines apply to licensed psychologists, researchers conducting psychological studies, and/or students and trainees acting in the role of psychologists. ● Whenever individuals conduct research, teach, or practice psychology in a professional capacity, they are expected to follow APA ethical standards. Deception and Full Disclosure ● Deception – occurs when researchers intentionally mislead participants or provide incomplete information about the true purpose of a study. ➔ Deception cannot be used to minimize the participants’ perception of risk or exaggerate their perception of potential benefits. ➔ When deception is used, it must be justified by the study’s scientific value and lack of alternative methods. ● Confederate – a person who secretly works with the researcher as part of the experimental design. ➔ Participants are led to believe that the confederate is another participant, observer, or bystander. In reality, the confederate is part of the experimental manipulation. ➔ Because participants are unaware of the confederate’s true role, this technique involves a form of deception. ● Some psychological studies require a degree of deception because participants’ behavior would change if they knew the study’s true purpose. ➔ Ex: The obedience research conducted by Stanley Milgram, in which participants believed they were administering electric shocks to another person as part of a learning experiment. The study relied on deception to examine how people respond to authority. ● Debriefing – refers to the process of fully explaining the study to participants after their involvement has ended. ➔ When deception is used, researchers must reveal the true nature and purpose of the study as soon as possible. ● If deception is used in research, several safeguards must be followed:
- Participants must always have the right to withdraw from the study at any time.
- Participants should never be pressured or forced to continue in a study once they express a desire to stop.
- Researchers must provide complete explanations of the study either immediately after the participant’s involvement or once the entire study has concluded. Anonymity and Confidentiality ● Anonymity – means that participants’ identities are not linked to their data; achieved by collecting data without recording names or identifying information. ➔ Participants may be identified only through code numbers or anonymous responses. ➔ Because the researcher cannot connect responses to specific individuals, anonymity provides strong protection of participant identity. ● Confidentiality – means that participants’ identities may be known to the researcher but are protected from disclosure. Data is securely stored and accessed only by authorized researchers. ➔ Personal information is not shared with others and is used only for the purposes explained to the participant. Protecting the Welfare of Animal Subjects Protecting the Welfare of Animal Subjects ● Psychological research sometimes involves animals, making ethical treatment essential.
Term 3 (Mid-Terms) | Experimental Psychology (7th Ed.) ● Psychologists should benefit others and avoid causing harm; protect the welfare and rights of individuals and research subjects; be aware of personal factors that may influence professional judgment.
- Principle B: Fidelity & Responsibility ● Build trusting relationships; accept responsibility for professional conduct; avoid conflicts of interest and cooperate with other professionals.
- Principle C: Integrity ● Promote accuracy, honesty, and truthfulness; avoid fraud, cheating, deception, or misrepresentation; if deception is used in research, its consequences must be addressed.
- Principle D: Justice ● Ensure fairness and equal access to psychological services; avoid bias or unjust practices in professional work.
- Principle E: Respect for People’s Rights & Dignity ● Respect privacy, confidentiality, and self-determination; be sensitive to cultural and individual differences; avoid discrimination and prejudice. Major Ethical Standards
- Resolving Ethical Issues ● Address misuse of psychologists’ work; handle conflicts between ethics and laws or organizational demands; attempt informal resolution first when appropriate; report serious ethical violations and cooperate with ethics committees.
- Competence ● Work only within areas of training and expertise; maintain professional competence through ongoing learning; base work on scientific knowledge; avoid practicing when personal problems impair performance.
- Human Relations ● Psychologists must avoid discrimination and harassment, prevent harm or exploitation, avoid harmful multiple relationships (dual relationships), manage conflicts of interest, and obtain informed consent for services.
- Privacy and Confidentiality ● Protect confidential information; inform clients about limits of confidentiality; disclose confidential information only with consent or when legally required; minimize unnecessary intrusions into privacy.
- Advertising & Public Statements ● Avoid false or misleading claims about services or qualifications; ensure accuracy in media statements and promotional materials; do not solicit testimonials from vulnerable clients.
- Record Keeping & Fees ● Maintain accurate records and documentation; protect confidentiality in stored records; clearly establish fees and financial arrangements; avoid exploitative financial practices (e.g., improper barter).
- Education and Training ● Training programs must provide appropriate knowledge and experiences; ensure accuracy in teaching; evaluate students fairly based on performance; avoid sexual relationships with students or supervisees.
- Research and Publication ● Obtain institutional approval; obtain informed consent from participants; avoid excessive inducements; limit or justify deception in research; provide debriefing after studies; avoid plagiarism, fabrication, or duplicate publication.
- Assessment ● Use valid and reliable psychological tests; obtain informed consent for assessments; interpret results appropriately and responsibly; protect test data and test security.
- Therapy ● Obtain informed consent before therapy; avoid sexual relationships with clients; manage therapy termination appropriately; provide continuity of care if services are interrupted. CH. 03 | ALTERNATIVE TO EXPERIMENTATION: NONEXPERIMENTAL DESIGNS Nonexperimental Approach ● Nonexperimental Approaches – are research methods used when true experiments are not practical, ethical, or possible. ● These methods are useful when: ➔ Manipulating variables is impossible or inappropriate. ➔ Researchers want to study behavior in real-life settings.
Term 3 (Mid-Terms) | Experimental Psychology (7th Ed.) ➔ The focus is on rare, unique, or naturally occurring events. ➔ Personal experiences or subjective data are important. ● Nonexperimental designs do not involve direct manipulation of variables, making them more flexible but less suited for establishing causation. ● Internal Validity – refers to the degree to which a study allows researchers to make cause-and-effect conclusions. ➔ High internal validity means the observed effects are clearly due to the variables being studied, and confounding variables are well controlled. ➔ Laboratory experiments typically have high internal validity but often lower realism. ● External Validity – refers to how well findings generalize to real-world settings, people, and situations. ➔ High external validity means results can be applied beyond the research setting. ➔ Nonexperimental designs typically have higher external validity because they often occur in natural environments. ● Research designs often involve a trade-off: ➔ High control (experiments) → higher internal validity, lower realism. ➔ High realism (no experiments) → higher external validity, lower control. Describing Research Activities Describing Research Activities ● Research methods can be understood along two important dimensions that determine how a study is conducted and how much control it involves.
- Degree of Manipulation of Antecedent Conditions – refers to how much the researcher controls or alters the conditions before behavior occurs. ➔ Low Manipulation → observing behavior in natural conditions; no intervention by the researcher. ➔ High Manipulation → creating controlled experimental conditions; actively changing variables to observe effects. ➔ Key Point: Experiments → high manipulation; nonexperimental designs → low manipulation. 2. Imposition of Units (Response Constraints) - refers to how much researchers limit or structure participants’ responses. ➔ Low Imposition → open-ended responses; participants can respond freely and naturally. ➔ High Imposition → fixed or restricted responses (e.g., multiple-choice, rating scales); participants choose from predefined options. Relationship Between Manipulation and Imposition ● High Manipulation + High Imposition = Strong control over variables and responses. ● Low Manipulation + Low Imposition = More natural, flexible, and realistic data. ● Each level of control has advantages and limitations: ➔ High Manipulation: Greater control over variables but less realistic settings. ➔ Low Manipulation: Greater ecological validity (real-world relevance) but less control over confounding factors. ● Research methods exist along a continuum, not as strict categories. ➔ Laboratory experiments represent only one end (high control). ➔ Nonexperimental designs vary widely in how much control and structure they involve. Five Common Nonexperimental Approaches
- Phenomenology – focuses on understanding individuals’ subjective experiences, and explores how people perceive and interpret their own experiences.
Term 3 (Mid-Terms) | Experimental Psychology (7th Ed.) unusual psychological phenomena that cannot be studied through experiments. ➔ Provide findings that may serve as evidence against widely accepted theories or practices. ➔ Are widely used in clinical settings to evaluate an individual’s overall psychological functioning, including behavior patterns, history, and symptoms. ● Deviant Case Analysis – an extension of case study research that focuses on cases that differ significantly from typical patterns. ➔ Provide insight into the etiology (origin) of psychological disorders. ● Retrospective Data – severe problem of case studies; recollections of past events. ➔ Memories may be inaccurate or biased, and important details may be forgotten. ● Reactivity – participants may change their behavior simply because they are being observed, reducing the accuracy of the data. Field Studies Field Studies ● Field Studies – nonexperimental investigations conducted in real-world settings, where behavior naturally occurs. ➔ Researchers do not manipulate antecedent conditions. ➔ Focus is on observing behavior in natural environments. ● Field studies are widely used in various areas, including: ➔ Ethology – the study of animal behavior in natural or controlled environments. ➔ Child development research. ➔ Market research and consumer behavior. ➔ Organizational and workplace studies. ● Field studies typically involve low manipulation–variable imposition (can range from low to high imposition). ● Types of Field Studies:
- Naturalistic Observation Studies – observe behavior as it occurs spontaneously in natural settings; positioned at low manipulation–low imposition.
- Participant–Observer Studies – the researcher actively becomes part of the group being studied, which allows for deeper understanding of group behavior; can range from low–low to low–high. Naturalistic Observation Studies ● Naturalistic Observation – involves systematically observing behavior in its natural environment without interference. ➔ No manipulation of antecedent conditions; behavior is recorded as it naturally occurs. ● Falls under low manipulation–low imposition. ● Systematic Observation – involves a structured plan for recording behavior to improve objectivity. Observations follow specific rules or coding systems. ● A well-designed coding system should produce consistent results across different observers (inter-observer reliability). The Strange Situation ● Developed by Mary Ainsworth. ● A structured observational method used to assess the quality of attachment between infants (1– years old) and their caregivers. ● Although conducted in a controlled setting, it relies on systematic observation of natural behaviors, such as reactions to separation and reunion. ● Reactivity – refers to the tendency of individuals to change their behavior when they know they are being observed. ➔ A common form is social desirability bias , where participants try to present themselves in a favorable way. ➔ Ex: The Hawthorne Effect, where individuals improve or alter their behavior simply because they are being watched. ● Unobtrusive Measures – involve observing behavior without participants’ awareness to reduce reactivity. ➔ Reduces observer effects and provides more natural and accurate data. Participant–Observer Studies ● Participant–Observer Studies – a type of field study in which the researcher actively becomes part of the group being studied while simultaneously observing behavior. ● Why This Method Is Useful ➔ Access to hard-to-reach or sensitive populations; enables study of groups that may be closed off to outsiders. ➔ Reduced artificiality; behavior is observed in natural settings. ➔ Reveals hidden or socially sensitive behaviors; participants may behave more naturally within their group, allowing researchers to observe behaviors that are
Term 3 (Mid-Terms) | Experimental Psychology (7th Ed.) not socially desirable and actions that individuals may not openly report. ● Despite its strengths, this method presents several methodological difficulties: ➔ Participants may alter their behavior if they become aware of the researcher’s presence or role (reactivity). ➔ Close involvement with participants may lead to emotional attachment and difficulty maintaining objectivity. ➔ Researcher bias; personal beliefs or relationships may influence observation. ● Participant–observer studies raise important ethical issues due to the close and sometimes concealed involvement of the researcher. ➔ Observing individuals without their knowledge may violate their right to privacy. ➔ Participants may be unaware they are part of a study (deception). ➔ Pretending to be a member of a group raises concerns about honesty and informed consent. ● Because of these concerns, such studies require careful ethical consideration and justification. ● Institutional Review Boards (IRBs) play a key role in evaluating the ethical acceptability of participant-observer studies. They assess whether: ➔ The scientific value justifies potential ethical concerns. ➔ Participants’ rights and welfare are protected. ➔ Public Settings: Observation is considered ethically acceptable without informed consent, since behavior is publicly visible. ➔ Private Settings: Researchers may be required to disclose their identity and obtain informed consent. ➔ Disclosure of the researcher’s role may protect participants’ rights but increase reactivity, altering natural behavior. ● Researchers must carefully balance ethical responsibility with the goal of obtaining valid data. Archival Study Archival Study ● Archival Study – a descriptive research method that involves analyzing previously collected records or data for a new research purpose. ➔ Allows researchers to study behavior that cannot be observed directly today. ● Researchers do not collect new data. Instead, they reexamine existing information to identify patterns, relationships, or trends. ● Archival research may use a wide range of existing records, such as census records, medical/school/government records, historical archives, or previously collected survey data. ➔ These sources allow researchers to study behavior across long periods of time or large populations. ● Ex: A psychologist may examine mental institution records from the early 1900s. The goal might be to determine the prevalence of depressive symptoms among patients during that period. ● Archival studies fall in the low manipulation—low imposition range of research designs. Qualitative Research ● Qualitative Research – a research approach that relies on words, descriptions, and narratives; focuses on meaning, experience, and context, and emphasizes understanding behavior in depth. ● Qualitative research typically involves: ➔ Careful observation of participants; ➔ Interaction with participants; ➔ Extensive note-taking; and ➔ Detailed narrative descriptions. ➔ Researchers then summarize findings in a descriptive report that interprets the phenomenon being studied. ● The increasing use of qualitative research reflects a paradigm shift, which refers to a change in scientific attitudes and values, in methods and research approaches, and greater acceptance of subjective and contextual data. ● Qualitative research falls into the low manipulation–variable imposition (can range from low to high imposition) range of designs. ● Qualitative research is particularly valuable for studying contextual phenomena—behaviors that are best understood within their natural context, rather than in controlled laboratory settings. CH. 04 | ALTERNATIVE TO EXPERIMENTATION: SURVEYS AND INTERVIEWS Survey Research Survey Research ● Survey Research – a method of collecting information by asking individuals about their opinions, attitudes, experiences, and behaviors.
Term 3 (Mid-Terms) | Experimental Psychology (7th Ed.) ● Ex: Satisfaction levels, socioeconomic status, birth order.
- Interval Scale – measures magnitude or quantitative differences and shows equal intervals between values, but no true zero point. ● Allows comparison of differences but zero does not indicate absence. ● Ex: Temperature in Celsius or Fahrenheit, some attitude scales.
- Ratio Scale – has equal intervals between all values, and has a true zero point. ● Allows all mathematical operations; zero represents complete absence. ● Ex: Age, reaction time, number of correct answers. Important Considerations for Survey Items Important Considerations for Survey Items ● According to Czaja and Blair (1996), the first questions should be: ➔ Relevant to the central topic; ➔ Easy to answer; ➔ Interesting to participants; ➔ Answerable by most respondents; and ➔ In closed format. ● These characteristics help build participant engagement, reduce dropouts, and encourage thoughtful responses. ● If collecting demographic information, it is often best to place demographic questions at the end, avoid making participants uncomfortable early on, and maintain participant engagement. ● Survey questions should not be value-laden, meaning they should not suggest a preferred or socially desirable answer. ➔ Value-Laden Questions – includes bias, assumptions, and emotionally charged wording. ➔ Ex: “Do you agree that responsible students study every day?” → assumes studying every day is responsible behavior and participants may feel pressured to agree; instead, use neutral wording → “How often do you study outside of class?” Collecting Survey Data Response Styles ● Response Styles – refer to tendencies of participants to answer survey questions in certain ways regardless of the actual content of the items. ➔ These tendencies can distort results and reduce accuracy and validity of survey findings. ● Researchers must identify and minimize response styles during survey construction and pretesting. ● Types of Response Styles:
- Willingness to Answer – occurs when participants respond differently depending on how comfortable they are answering certain questions; this can lead to inaccurate or incomplete data. ➔ Occurs when questions require specific knowledge, personal information, or sensitive topics. ➔ Participants may skip questions, guess answers, and/or provide socially desirable responses.
- Position Preferences – refers to the tendency to consistently select a particular response position, regardless of content. ➔ Ex: Always choosing the first option, or selecting “C” in multiple-choice questions. ➔ This creates systematic bias and reduces data reliability.
- Yea-Saying (Acquiescence Bias) – tendency to agree with statements regardless of content.
- Nay-Saying (Nonacquiescence) – tendency to disagree with statements regardless of content. ● After survey questions are created, they should be pretested. This helps improve reliability and validity before full data collection. ● Context Effects – occur when the order or placement of questions influences responses. Earlier questions may affect interpretation of later questions; occurs most often when questions are related. ➔ Pretesting helps detect context effects and improve question order. ➔ Ex: Asking about general happiness after asking about financial stress may lower happiness ratings. Evaluating Surveys and Survey Data Self-Administered (Written) Questionnaires ● Self-Administered Questionnaires – participants complete questionnaires independently, usually on paper (or digitally).
Term 3 (Mid-Terms) | Experimental Psychology (7th Ed.) ➔ Provide clear instructions and allow participants to complete privately or anonymously. ● Advantages: Inexpensive, efficient, high response and low drop-out rates, and good for reaching specific target samples. ● Disadvantages: Instructions must be very clear, possible privacy and reactivity issues, and may be time-consuming. Mail Surveys ● Mail Surveys – questionnaires are sent and returned through postal mail. Includes a professional cover letter, ensuring anonymity and confidentiality, monetary incentives, and sending follow-up surveys to increase response rate. ● Advantages: Inexpensive, can reach large samples, and covers wide geographic areas. ● Disadvantages: High non-response rates, requires clear instructions, privacy concerns, and time-consuming. Computer and Internet Surveys ● Computer and Internet Surveys – participants complete surveys online through websites or digital platforms. ➔ One of the most popular data collection methods where responses are collected automatically. ● Advantages: Inexpensive, automated data collection and coding, increased privacy, and fast data collection. ● Disadvantages: Lack of control over sample, some populations difficult to reach (e.g., older adults), and possible sampling bias. Telephone Surveys ● Telephone Surveys – researchers collect data by calling participants. ➔ Became popular in the 1980s (Dillman, Smyth, & Christian, 2009). ● Advantages: Inexpensive, can reach large geographic areas, and allows clarification of questions. ● Disadvantages: Sampling bias, interviewer bias, privacy and reactivity issues, and requires interviewer training. Interviews ● Interviews – face-to-face survey method where researchers directly interview participants; allows for more in-depth surveying. ● Advantages: Detailed instructions and clarification, in-depth responses, and high response and low drop-out rates. ● Disadvantages: Expensive, time-consuming, interviewer bias, requires interviewer training, and privacy and reactivity concerns. Focus Groups ● Focus Groups – a small, relatively homogeneous group participates in a group interview about a specific topic. Often used for program evaluation, survey development, and exploring opinions. ● Advantages: Useful for pretesting survey questions, detailed responses, clarification through group discussion, and rich qualitative data. ● Disadvantages: Expensive, group bias (participants influenced by others), facilitator bias, requires facilitator training, privacy and reactivity issues, and data may be unstructured and difficult to analyze. Evaluating Surveys and Group Data Evaluating Surveys and Group Data ● Reliability – refers to the consistency and repeatability of survey results; indicates stability of measurement. ➔ Reliable surveys produce similar results over time; high reliability increases confidence in findings. ➔ Types of reliability may include test-retest reliability, internal consistency, and inter-rater reliability. ● Validity – refers to whether a survey measures what it is intended to measure; ensures accuracy and meaningful interpretation. ➔ A survey may be reliable but not valid. ➔ Types of validity include content validity, construct validity, and criterion validity. Sampling Sampling ● Sampling – the process of selecting a representative group from a population for research purposes. ➔ Researchers typically cannot study entire populations. Instead, they study a sample and generalize findings to the population. ● Population – refers to the entire group of individuals, animals, or objects that share at least one common characteristic; the group researchers want to draw conclusions about. ➔ Ex: All college students, all licensed drivers, all children aged 5–10. ● Sample – the subset of individuals selected from the population to participate in the study; should represent the population accurately. ➔ Members of the sample are called participants.
Term 3 (Mid-Terms) | Experimental Psychology (7th Ed.) ➔ This makes correlational research a nonexperimental design. ● Steps in a Correlational Study:
- Measure variables of interest (e.g., IQ scores and academic performance).
- Convert measurements into numerical values; allows statistical analysis.
- Calculate the degree of relationship. Statistical procedures determine correlation strength and direction. ● Simple Correlations – refer to the relationship between two variables measured from each participant. ➔ Each participant contributes two scores and researchers compare pairs of scores to determine relationships. ● Pearson Product-Moment Correlation Coefficient (r)
- the most commonly used method for calculating correlations; measures strength and direction of a relationship. ➔ Used for continuous numerical data and produces a correlation coefficient value. ● Correlation coefficients range from -1.00 to +1.00. ➔ +1.00 → Perfect positive correlation. ➔ -1.00 → Perfect negative correlation. ➔ 0.00 → No correlation. ● Two key properties define correlations:
- Direction (positive or negative).
- Strength (how strong the relationship is; from the absolute value). ● Positive Correlation – occurs when both variables move in the same direction. As one variable increases, the other increases; as one variable decreases, the other decreases. ➔ Ex: High IQ and high academic performance. ● Negative Correlation – occurs when variables move in opposite directions. As one variable increases, the other decreases; as one variable decreases, the other increases. ➔ Ex: Stress and academic performance. ● No Correlation – occurs when there is no relationship between variables. Changes in one variable do not predict changes in the other. ➔ Correlation coefficient is close to 0. ➔ Ex: Shoe size and intelligence Strength of Correlation The absolute value of r indicates strength of relationship: Correlation Coefficient Interpretation 0.80 – 1.00 Very Strong 0.60 – 0.79 Strong 0.40 – 0.59 Moderate 0.20 – 0.39 Weak 0.00 – 0.19 Very Weak / No Relationship ● Scatterplots – visual representations of the relationship between two variables. ➔ Each point represents one participant; one variable is plotted on the x-axis; the other variable is plotted on the y-axis. ➔ Scatterplots help researchers visualize relationships, identify patterns, and detect unusual scores (outliers). ● Positive Correlation Scatterplot – points slope upward from left to right; indicates both variables increase together. ● Negative Correlation Scatterplot – points slope downward from left to right; indicates one variable increases while the other decreases ● No Correlation Scatterplot – points appear randomly scattered; no clear pattern or direction. ● Regression Lines (Lines of Best Fit) – lines drawn on scatterplots that best represent the relationship between two variables. ➔ Summarizes the overall pattern of data points and helps predict scores on one variable from another. ➔ The direction of the line reflects the type of correlation: a. Upward slope → Positive correlation. b. Downward slope → Negative correlation. ● Correlation coefficients can be strongly influenced by certain features in the data.
- Curvilinear Relationships – occurs when two variables are related but the relationship changes direction at some point. As one variable increases, the other increases, and after a certain point, one variable increases while the other decreases.
Term 3 (Mid-Terms) | Experimental Psychology (7th Ed.) ➔ Ex: Test anxiety and performance.
- Outliers – extreme data points that do not fit the general trend. Appear far from other data points; may distort results. ➔ Can change the regression line and inflate or reduce correlation coefficient, which may lead to incorrect conclusions. ➔ Researchers should identify outliers and determine whether they should be retained or removed. ● Correlation does not imply causation. Even though a relationship exists between two measures, we cannot say that one causes the other, even when such a statement appears reasonable. ➔ Because correlational designs lack manipulation, they cannot establish cause-and-effect relationships. ● Coefficient of Determination (r²) – estimates how much variability in one variable is explained by another variable. ➔ Calculated by squaring the correlation coefficient. ➔ Expressed as decimal (0.00–1.00), or percentage (0%–100%). ➔ Ex: r = .50 → r² = .25 → 25% of variability in one variable is explained by the other. ● Higher r² = stronger relationship. ● Lower r² = weaker relationship. Linear Regression Analysis ● Linear Regression Analysis – a predictive statistical method used to estimate scores on one variable from another correlated variable; uses a regression line to estimate outcomes. ● Regression answers two main questions:
- Does a set of predictor variables do a good job in predicting an outcome variable? ➔ Predictor Variable → IV ➔ Outcome Variable → DV
- Which variables in particular are significant predictors of the outcome variable, and in what way do they—indicated in the magnitude and strength of prediction (beta weights)—impact the outcome variable? Data Requirements ● Interval and ratio data → Use regression. ● Categorical data → Use ANOVA. Multiple Correlation and Multiple Regression ● Multivariate Analysis – examines relationships among more than two variables simultaneously; provides a more realistic understanding of behavior. ● Multiple Correlation – examines relationship between multiple predictor variables and one criterion variable. ➔ Represented by R; tests how well several variables predict one outcome. ➔ Ex: Study time, motivation, and attendance predicting academic performance. ● Partial Correlation – measures relationship between two variables while controlling for another variable. ➔ Removes the influence of the third variable and identifies true relationships; helps isolate unique relationships between variables. ➔ Ex: Relationship between stress and grades, controlling for sleep hours. ● Multiple Regression – predicts one behavior from multiple related behaviors. Extension of linear regression; uses several predictors simultaneously. ➔ Ex: Predicting job performance using salary, job satisfaction, and years of employment. Factor Analysis ● Factor Analysis – a data reduction technique used to identify relationships among many variables. Groups related variables together and identifies underlying factors. ➔ To simplify complex data and identify common dimensions. ● Exploratory Factor Analysis (EFA) – involves extracting possible factors, determining number of factors, rotating factors for easier interpretation. ➔ Used when researchers do not know the structure beforehand. ➔ Purpose: Discover underlying relationships. ● Confirmatory Factor Analysis (CFA) – tests whether a hypothesized factor structure fits the data. ➔ Used when researchers already have a theoretical model. ➔ Purpose: Confirm whether data supports expected structure. Choosing the Right Statistical Treatment
- IV Level of Measurement: Continuous DV Level of Measurement: Continuous Purpose: Determine relationship or association.
