Title: Scientific Methods in Psychology
1Scientific Methods in Psychology
2The Scientific Method
- Science is a word derived from Latin roots
scientia meaning knowledge. - Why do we need it?
- scientific method provides guidelines for
scientists in all fields to use in evaluating
hypotheses and broader theories
3Scientific Theories
- What is a theory?
- A theory is a comprehensive explanation of
observable events and conditions.
4The Scientific Method
- How do we support claims scientifically?
- A hypothesis is a testable prediction of what
will occur under a stated set of conditions.
5Figure 2.1
- Figure 2.1 A hypothesis leads to predictions. An
experimental method tests those predictions a
confirmation of a prediction supports the
hypothesis a disconfirmation indicates a need to
revise or discard the hypothesis. Conclusions
remain tentative, especially after only one
experiment. Most scientists avoid saying that
their results prove a conclusion.
6The Scientific Method
- The importance of replication
7General Principles of Research
- Definitions of Psychological Terms
- The problems of measurement
- Need to measure the phenomena we are studying
- Sometimes what we study in psychology is not
tangible
8General Principles of Research
- Definitions of Psychological Terms
- An operational definition is one that specifies
the operations or procedures used to produce or
measure something. Its a way to give an
intangible idea a numerical value.
9General Principles of Research
10General Principles of Research
- Samples
- A convenience sample is a group chosen because of
its ease of availability and study. - A representative sample closely resembles the
population in terms of gender, ethnic or racial
groups, age levels, other characteristics might
have some relevance to the results.
11General Principles of Research
- Population Samples
- random sample is one in which everyone in the
population has equal chance of being selected. - cross-cultural sample is one that contains groups
of people from at least two distinct cultures.
12General Principles of Research
- Experimenter Bias
- tendency of experimenter to unintentionally
distort procedures or results of an experiment
based on the expected or desired outcome of the
research.
13General Principles of Research
- Methods to counteract Experimenter Bias
- Using blind observers who record data without
knowing what the researcher is studying. - Using a placebo control. A placebo is a sham
treatment that makes it very difficult for the
subjects (single-blind) or the subjects and
experimenter (double-blind) to know who has
received the treatment and who has not.
14General Principles of Research
- Research Design
- There are many methods used to study
psychological concepts and phenomena.
15General Principles of Research
- Observational (non-experimental) Research Design
- Naturalistic Observation
- Careful monitoring and examination of what people
and animals do under more or less natural
circumstances.
16General Principles of Research
- Observational Research Design
- Case History
- A thorough observation and description of a
single individual
17General Principles of Research
- Observational Research Design
- Survey
- A survey is a study of the prevalence of certain
beliefs, attitudes, or behaviors, based on
peoples responses to specific questions.
18General Principles of Research
- Correlational Studies
- Correlation
- Correlation is a measure of the relationship
between two variables which are both outside of
the investigators control.
19General Principles of Research
- Correlational Studies
- The value of the correlation coefficient can
range from 1.00 to 1.00. - The higher the absolute value, the stronger the
relationship is, regardless of the direction. - A negative correlation (-) means that as one
variable increases, the other decreases.
20General Principles of Research
- Experiments
- Experiment
- A study in which the investigator manipulates at
least one variable (independent) while measuring
at least one other variable (dependent).
21General Principles of Research
- Experiments
- Other important terminology
- Experimental group
- Control group
- Random assignment
22General Principles of Research
- Possible problems in carrying out and
interpreting the results of experiments - Demand Characteristics Cues that tell a subject
what is expected of him or her, and what the
researcher hopes to find.
23General Principles of Research
- Possible problems in carrying out and
interpreting the results of experiments - Ethical Considerations Researchers must weigh
possible harm and benefits
24General Principles of Research
- Safeguarding human subjects well-being
- Use of informed consent
- Institutional Research Board (IRB)
25Descriptive Statistics
- Descriptive statistics are mathematical summaries
of results. There are two broad categories of
descriptive statistics - Measurements of central tendency
- Measurements of variation or dispersion
26Descriptive Statistics
- Measurements of Central Tendency
- The mode
- The Mean
- The Median
27Descriptive Statistics
- Measurements of Variation
- The range is a statement of the highest and
lowest scores - If our distribution has the following scores 1,
2, 3, 5, 7, 9, 9, 10, the range is from 1 to 10.
28Descriptive Statistics
- Measurements of Variation
- standard deviation (SD) is a measurement of the
amount of variation among scores in a normal
distribution.
29Â Figure 2.17
- Figure 2.17Â In a normal distribution of scores,
the amount of variation from the mean can be
measured in standard deviations. In this example
scores between 400 and 600 are said to be within
1 standard deviation from the mean scores
between 300 and 700 are within 2 standard
deviations.
30Evaluating Results Inferential Statistics
- Probability Values
- A probability value is a way to estimate if a
score would be extremely rare given what we know
about the likely range in which the population
mean falls. - If there is a 95 certainty that the population
mean falls between 5.0 and 7.0, and a score falls
at 8.2, then that score has a probability value
of less than 5 (p lt .05) and it is an
exceptional score in some way.
31Evaluating Results Inferential Statistics
- Probability Values and Statistical Significance
- scores that are exceptional are interpreted as
being unlikely to have arisen by chance. - A result that is unlikely to have occurred by
chance in a distribution is interpreted as being
statistically significant.