Psychology Chapter 2 Reading
Studying Scientific Behaviour
Prof: Prof. T Biggs
Gathering Evidence: Steps in Scientific Process
The scientific method was used to make great progress in determining the
laws of the physical sciences
Diffusion of Responsibility – a psychological state in which each person
feels decreased personal responsibility for intervening
Steps for the Scientific Method (John Darley & Bibb Latane):
1. Identify a Question of Interest – from different sources (ex. Articles,
news, events, personal experiences, etc.), scientists observe something
that interests them and ask a question about it
2. Gather Information and Form Hypotheses – scientists determine
whether any studies, theories, and other information that might help
answer their question already exist. Then they form a hypothesis
3. Test Hypothesis by Conducting Research – They staged an
“emergency in the lab and recorded people’s responses to people
discussing college experiences.
4. Analyze Data, Draw Tentative Conclusions, and Report Findings –
Darley and Latane submitted their findings to a journal. This is important
because it allows fellow scientists to learn about new ideas and findings,
to evaluate the research and to challenge and expand on it.
5. Build a Body of Knowledge – they ask further questions – as evidence
builds up, they may attempt to build theories
Theory – a set of formal statements that explains how and why certain
behaviors and their causes
Theory of Social Impact – a combination of the principle of diffusion of
responsibility and other principles of group behavior; this is used to explain a
variety of social behaviours
Two Approaches to Understanding Behaviour
Approaches to understanding behavior:
1. Hindsight (After-the-Fact Understanding) – the problem with relying on
hindsight if that related past events can be explained in many creative,
reasonable, and sometimes contradictory ways
2. Understanding Through Prediction, Control, and Theory Building – if
we understand the causes of a given behavior, then we should be able to
predict the conditions under which that behavior will occur in the future.
Furthermore, if we can control these conditions, then we should be able
to produce that behavior
A good theory has important characteristics:
1. It organizes information in a meaningful way
2. It is testable. It generates new hypotheses and predictions whose
accuracy can be evaluated by gathering new evidence 3. The predictions made by the theory are supported by findings of new
research
4. It follows the law of parsimony: If two theories can explain and predict
the same phenomena equally well, the simpler theory is the preferred one
Defining and Measuring Variables
Variable – any characteristic or factor that can vary from one person to
another (ex. Age, income, hair colour, etc.)
Operational Definition – define a variable in terms of the specific
procedures used to produce or measure it
Some measurement techniques:
1. Self-Report Measures – ask people to report on their own knowledge,
beliefs, feelings, experiences, or behavior; this information is usually
gathered through interviews or questionnaires
- Social Desirability Bias – the tendency to respond in a way that is
acceptable, rather than according to how the person actually feels or
behaves
2. Measures of Overt Behaviour – record obvious behavior
- ex. In an experiment on learning, we might measure how many errors
a person makes while performing a task
- ex 2. We might measure people’s reation time – how rapidly they
respond to a stimulus) – after investigating various amounts of alcohol
- psychologists develop coding systems to record different categories of
behavior; the observations must be consistent between other
observers
3. Unobtrusive measures – records behavior in a way that keeps
participants unaware that certain responses are being measured
4. Archival Measures – records of documents that already exist
5. Psychological Tests – ex. Personality tests, intelligence tests,
neuropsychological tests
6. Physiological Measures – assesses what people are experiencing (ex.
Heart rate, blood pressure, respiration rate, hormonal secretions)
Descriptive Research: Recording Events
Descriptive Research – seeks to identify how humans and other animals
behave, particularly in natural settings
- Provides information about the diversity of behavior and may produce
clues about potential cause-effect relations that are later tested
experimentally
Case Studies – an in-depth analysis of an individual, group, or an event
- Advantages: This method enables scientists to study it closely
- It may challenge the validity of the theory or widely held scientific belief - It can provide important understanding of such diverse topics as brain
functioning, child development, mental disorders, and cultural
influences
- Limitations: cause-effect relations
- May not generalize to other people or situations
- Observers may not be objective in gathering and interpreting data
- They are based on the observer’s impressions
Naturalistic Observation – a researcher observing a behavior as it occurs
in a natural setting, and attempts to avoid influencing that behavior (ex.
Bullying)
- Does not look at the causes of things
- Bias in how researchers interpret what the observe is possible
- The presence of an observer may disrupt a person/animal’s behavior
Survey Research – information about a topic is obtained by administering
questionnaires or interviews to many people (ex. Political polls)
Disadvantages: survey data cannot be used to draw conclusions about
cause and effect
Surveys rely on participants’ self-reports, which can be distorted by social
desirability bias, interviewer bias, peoples’ inaccurate perceptions of their
own behavior, and misinterpretation of survey questions
- Representative Sample – a sample that reflects the important
characteristics of the population
It is better to have smaller rep. samples rather than a larger
unrepresentative one
Advantage: we can be confident that the findings closely portray the
population as a whole
- Random Sample – every member of the population has an equal
probability of being chosen to participate in the survey
Stratified Random Sampling – dividing the population into subgroups
based on such characteristics as gender or ethnic identity
Correlational Research: Measuring Associations
Between Events
Correlation Research
Three components:
1. The researcher measures one variable (X), such as people’s birth order
2. The researcher measures a second variable (Y), such as personality
trait
3. The researcher statistically determines whether X and Y are related
We cannot draw causal conclusions from correlational data, which is the
major disadvantage of correlational data
Correlation Coefficient – a statistic that indicates the direction and strength
of the relation between two variables
Positive Correlation – higher
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