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What is research?
A systematic investigation to determine facts.
List the 10 steps of The Research Process
Develop a research idea.
2. Formulate a hypothesis and prediction.
3. Determine how to define and measure variables.
4. Identify subjects for the study.
5. Select a research strategy.
6. Select a research design.
7. Conduct the study.
8. Evaluate data.
9. Report results.
10. Refine research idea
Name the five non-scientific methods of acquiring knowledge.
Tenacity, Intuition, Authority, Rationalism, Empiricism.
What is tenacity as a method of knowing?
Accepting information because it’s always been believed true (habit, superstition, familiarity).
Why do people rely on tenacity
The brain is wired to look for patterns, infer meaning from random events, and accept familiar ideas without question
What is intuition as a method of knowing?
Accepting information based on a hunch, instinct, or feeling. It can be partly based on subtle subconscious cues
Strength and weakness of intuition?
Can spark novel research ideas when no prior info exists; but must be tested scientifically.
What is authority as a method of knowing?
Accepting information without detailed vetting or questioning because it comes from an expert or trusted source
what does authority stem from?
complete trust in the authority figure (e.g., parents, religious figures, doctors) and it is often the quickest and easiest way to obtain answers (e.g., ChatGPT)
Problem with authority as a knowledge source?
Experts can be biased, wrong, or overgeneralized.
What is rationalism?
Accepting info based on logical reasoning. It is valuable if the premises are absolutely true
what is the logical conclusion from those 2 premisies using rationalism:
Premise 1: All children love eating chocolate.
Premise 2: Melissa is 9 years old.
Melissa loves to eat chocolate
what method of knowing do scientists use to form researcdh hypotheses
rationalism but it must be tested by the scientific method
What is the problems with Rationalism as a method of acquiring knowledge?
It assumes that all premise arguments are true. Any inaccuracies in the premises will inevitably lead to false conclusions
What is empiricism?
Accepting information based on direct observation or personal experience. based on the collection of data
Problem with empiricism?
Observations can be misinterpreted or lack operational definitions
what is an operational definition
specifies how a variable is measured so that other researchers can observe it in the same way. without it, oservations can be subjective (Children are not as smart as adults)
Are non-scientific methods of knowing obsolete?
No, they are not obsolete. They may be used in the scientific process if in conjunction with the scientific method
How do non-scientific methods fit into the scientific process?
They can be useful, but only reliable when combined with the scientific method.
Explain the Scientific Method
It is a systematic approach to finding answers, that starts with a set of observations then produces a general question/answer technique.
It may combine elements from non-scientific methods (e.g., empirical, rational, authority for research ideas; rational for predictions; empirical for data collection).
• Leads to better-quality answers and higher confidence in validity.
• Good science is reproducible, and data reproduction is necessary and important
What are the steps of the scientific method?
Observation / Research idea
Hypothesis / Prediction
Systematic plan to collect data
Evaluate data
support/refute/refine hypothesis
New observation
where do research ideas usually vome from
Research ideas often come from previous research, but can also originate from personal observations, others' observations (informal sources), or practical problems
what makes a good reseacrh idea
should be interesting, novel, fundable, and publishable
what is the requirement to formulationg a research idea
Must have comprehensive knowledge of what is known to figure out what is not known
what is applied research
Research directly aimed at solving problems. Aims to provide answers to practical problems
what is basic research
Research that aims to answer theoretical questions. Goal is to gather knowledge for the sake of gathering knowledge
What is a benefit of basic research
can give rise to applied research by providing underlying components for greater understanding of disease
what is an hypothsis
A statement describing the relationship between variables, usually a generalization (induction)
define variables
Conditions that may change or have different values for different individuals
what are characteristics of a hypothesis
must be:
Logical: Based on knowledge from literature.
Testable: Variables, events, subjects can be observed and defined.
Directional: Predicts the direction of the relationship.
Specific: Prediction is focused.
Refutable: There is an opportunity for results to contradict the hypothesis
is this a good or bad hypothesis: Nicotine affects cholesterol
bad - not directional or specific
what is a prediction
Predicts a small set of possible outcomes based on observations or from the hypothesis - Uses deductive reasoning (a top-down approach from theory to guide ideas)
what are some requirementsfor variables
must be measured by carefully-controlled and well-defined methods of observation
should be specific and unambiguous (observable and measurable)
what is validity
You are measuring what you claim to measure - Crucial for accurate findings
what is accuracy
A property of your instrument - Involves calibration and precision
“How much error is present?”
what is reliability
Measurements are consistent and produce nearly identical results when used repeatedly-Relates to replicability
what are the different types of variables
Independent Variable: Manipulated.
Dependent Variable: Responding/Measured.
Control Variables: Held constant.
Confounding Variables: Not held constant (ideally none)
what is an independent variable
The manipulated variable, it is determined by researcher before experiment and is Determined by the treatment conditions
what is a dependent variable
The responding variable - Measured in each of the treatment conditions. determined during the course of experiement
what is a factor
Differentiates between a set of groups being compared in an experiment - ssentially the independent variables of an experiment, impacts experiment
what are some example fo factor
Animal handling, drug administration
what is condition
Describes "How is the group treated in an experiment?". A combination of factors the animal experiences (e.g., timing, handling, administration)
what is an example of condition
Handled for 10 minutes and given 10 mg of drug; Not handled and given 10 mg of drug
what are levels
Different values of the independent variable that are selected to create the treatment condition
what are some examples of levels
Examples (Animal handling): Handling vs. no handling; handling for 10, 20, 30 minutes.
Examples (Drug administration): Drug dosage (10, 30, 100 mg); time course (1, 2, 3, 4 hr)
what are some characteristics of a variable
Observable: Can be measured directly or indirectly.
Replicable: Can be consistently measured.
Specificity: Must be specific and unambiguous for observability and replicability.
Levels: Must have at least 2 levels/values (e.g., Sleep/Wake, Glasses/No glasses, Drug dose: 1, 5, 10 mg).
What are Operational Definitions
Converts an abstract construct into a concrete variable that can be directly observed and measured
What is the purpose of an Operational Definition
improve validity and reliability of measurments
what is a benefit of Operational Definitions
Makes replication possible
what is a situational variable
Describes characteristics of a situation or environment. focuses on What aspect of the environment changes for the subjects
ex. Amount of drug administered, time of day
what is a response variable
Refers to the responses or behaviors of subjects/participants, Typically measured after manipulating the situational variable.
Many experiments examine the effect of a situational variable ON a response variable
what is a participant variable
Refers to differences between individuals. Constant within individuals, but variable between individuals.
ex.Gender, height, genetic composition
what is a mediating variable
Help explain how and why a relationship exists between two other variables
Independent variable causes a mediating variable, which then causes a dependent variable
what is an intervention goal
often designed to change outcomes by targeting mediating variables.
what is the mediating variable of this theory:
How increased social support results in positive health practices
Decreased loneliness and increased hopefulness
where do the independent and depended variables go on a graph
x-axis: independent y-axis: dependent
what is the difference between continuous and discrete variables
discrete variable: Measured in categories (distinct/separate values) whole number obtained by counting. ex Number of chocolate pieces, number of children
continous variable: Measured on a continuum (any value in a range) whole unit or fraction can have decimal places obtained by measuring. ex Calories of chocolate, weight, height, age
what is the relationship between predictions and hypothesis
Predictions are derived from the hypothesis
What are the characteristics of a good hypothesis?
Logical, testable, directional, specific, refutable.
What is the difference between hypothesis and prediction?
Hypothesis = statement about variable relationship; Prediction = expected specific outcomes (via deductive reasoning).
What is an independent variable (IV)?
The manipulated variable, determined by the researcher.
What is a dependent variable (DV)?
The measured responding variable, determined during the experiment.
What are key qualities of good measurements?
Validity (measuring what you claim), Accuracy (instrument precision), Reliability (consistent results).
What is applied research?
Research directly aimed at solving practical problems (e.g., weight loss to improve sleep apnea).
What is basic research?
Research conducted to answer theoretical questions and gain knowledge for its own sake.
Why is basic research still important?
It often provides the foundation for applied research and deepens understanding of disease mechanisms.
What makes a hypothesis testable?
Variables, events, and subjects must be observable and measurable.
What makes a hypothesis directional?
It predicts the specific direction of the relationship (e.g., increase or decrease).
What makes a hypothesis refutable?
It must allow for the possibility of being proven wrong by results.
Why must variables be carefully defined and measured?
To ensure accuracy, replication, and that results are interpretable.
What are the main types of variables?
Independent variables (IVs), Dependent variables (DVs), and Control variables.
Example: “Does diet soda cause greater weight gain in men or women?”
IV: Gender; DV: Weight gain.
What 3 qualities must measurements have?
Validity, Accuracy, Reliability.
What is the difference between participants and subjects?
Participants = humans; Subjects = nonhumans (neurons, animals, tissues, etc.).
What factors must be considered when selecting participants?
Ethical considerations, demographics (species, sex, age, weight, etc.), and sample size.
what is the purpose of scales of measurments
Rules for how properties of numbers change with different uses
4 scales:
Nominal, Ordinal, Interval, Ratio
what is the nominal scale
Qualitative differences in levels of a variable. Used for categorization; numbers represent something/someone. Indicates the proportion of subjects/participants in each category. Examples: Marital status, fur coat colour…
what is the ordinal scale
Measurements that convey order or rank. Numbers are meaningful in terms of order. Example: Difference between A-B grades is not the same as C-D grades. Rank order of athletes in a race
what is a limitation of the ordinal scale
Distance between numbers are not necessarily equal
what is the interval scale
Similar to ordinal, but intervals between adjacent values are constant. You know the order of values AND the distance between two values and No true zero (zero does not mean absence of the phenomenon)
Examples: Temperature, year
what is the ratio scale
Similar to interval, but has a true zero. zero means the absence of a phenomenon. Can divide and express as a fraction.
• Examples: Weight, time, age
what is the most informative scale of measurement
Ratio Scale
what is a control group
A comparator for the experimental group that provides baseline data and does not receive treatment
in an ideal scenario are there any Confounding Variables
no
identify the independent, dependedn, control and confounding variable in this study:
Dose of amphetamine required to stimulate rat locomotor activity
Independent Variable: Amphetamine dose.
• Dependent Variable: Locomotor activity.
• Control Variables: Time of day, age of rats, rat species, amphetamine source, locomotor box, housing conditions, gender.
• Confounding Variable: Ideally none; but timing/housing considerations could be confounds if not controlled
how is error generally dealt with
Error is reduced (never eliminated) when the testing procedure is standardized
what are the diffenet types of sources of error:
experimenter: Error arising from the person conducting the experiment
environmental: Error arising from the testing environment
participant: Error arising from the characteristics of the individuals/subjects being studied
instrument:Error arising from the tools or equipment used for measurement
how to reduce each type of sources of error:
experimenter: Ensure experimenter behaves similarly with each subject; use same clothing/experimenter/script per participant
environmental: Choose best conditions for testing; control temperature, time of day, noise level, and lighting
participant: Use inclusion/exclusion criteria decided before starting the study (e.g., animal body weight, overall health)
instrument: Use the same instruments, and ensure proper calibration for precision
what is face validity
The measurement "looks" like a good measure; "That makes sense!"
Based on subjective judgment - Sometimes useful for disguising the true purpose of a measurement
Example: Learned helplessness behavioral tests (forced swim, tail suspension) resemble aspects of depression
what is Predictive Validity
Scores from a new measure accurately predict future behavior, May only be assessed after the experiment is done
Examples: High blood sugar → diabetes; IQ → GPA
what is Concurrent Validity
Scores obtained using a new measure correlate with a previously established measure (the "gold standard") of the same construct. New measure is done at the same time as the gold standard
what is Convergent Validity
Two different methods of testing produce strongly related scores and converge on the same construct
what is divergent Validity
The same method used to measure two different constructs can discriminate between the constructs. Demonstrate your measurement does NOT correlate with two different constructs
what is reliability
Consistency of a measurement
what is the relationship between validity and reliability
A valid test must be reliable, but a reliable test may not be valid - ex. A scale reliably measures weight, but it's not a valid test for height
what is validity
Demonstrate that the measurement procedure is measuring what it claims to be measuring
5 types:
face validity
Predictive Validity
Concurrent Validity
Convergent Validity
Divergent Validity
what are the 2 types of reliability
Inter-Rater Reliability:Determine correlation between scores from two independent scorers
Test-Retest Reliability: Determine correlation between scores from measurements taken at same two time points
what is the purpose of wthics in reseach
To ensure accurate, honest research conduct and reporting. Without ethics, many confounding variables can occur