LECTURE 1 Flashcards
FOUR CENTRAL QUESTIONS OF DEVELOPMENTAL SCIENCE
- Continuity / Discontinuity:
Gradual, continuous changes and/or sudden, discontinuous changes - Sources of Development
Genetics and/or Environment - Plasticity
To what degree can the course of development be changed with intervention - Individual Difference
What combination of nature and nurture makes individuals different from one another How do differences arise?
CONTINUITY/DISCONTINUITY (Give examples)
Gradual, continuous changes (Quantitative, eg: age, height) and/or sudden, discontinuous changes (Qualitative, eg: talking, walking from crawling)
SOURCES OF DEVELOPMENT
Genetics and/or Environment. What is the contribution of each to the organism
PLASTICITY
To what degree can the course of development be changed with intervention. E.g., exposure to language environment to develop complete language
skills. Sensitive periods – optimal development (children’s ability to distinguish language sounds in a wide array of languages)
INDIVIDUAL DIFFERENCES
Sources of stability and differences over time
CRITERIA FOR DEVELOPMENTAL RESEARCH
- Objectivity– free from bias and preconceptions
(e.g., girls are bad at science) - Reliability– same results each observation independent observer agreement (e.g., having two people look at the data, or seeing the same behaviors on different days)
- Replicability– replicate the results under same conditions
- Validity– data actually reflect the phenomena being studied (e.g., are you measuring what you intend to measure? cross-cultural research)
METHODS OF STUDYING DEVELOPMENT
- Naturalistic observation
- Experiment
- Clinical Interview
Naturalistic observation or semi-naturalistic observation
- Observing and recording the behavior of people in the course of their everyday lives
- Direct way to gather objective information revealing the full complexity of behavior
- People might behave differently under observation; expectations may shape observations; information may be lost or time consuming to analyze
Experiment (cause and effect relationships)
- Introducing a change in a group’s experience and measuring the effects of the change
- Best method of testing causal hypotheses
- People may behave differently in the experimental setting, distorting the validity of the results
Clinical interviews
- Asking questions tailored to the individual
- Possible to probe the child’s way of thinking in order to discover patterns, clarify
- Reliance on verbal expression makes the
method inappropriate with very young children
CAUSATION
When the changing of one variable causes the changing of another variable (cause and effect) Example: release of growth hormone & height
CORRELATION
Relationship that exists between two factors when changes in one factor are associated with changes in the other. Correlational methods do not identify causal relationships, but they do permit predictions (most frequently used in dev research)
- Correlation coefficient: Degree of association between factors, symbolized as r and ranging between −1
DEVELOPMENTAL RESEARCH DESIGN
- Longitudinal
- Cross Sectional
- Cohort sequential
- Microgenetic
Longitudinal
Collects information about the same group of people over time (test at 3, 5, 7, 9yrs)
Pros: Possible to discover patterns of continuity and change over time
Cons: Expense; long-term commitment may lead to
selective dropout; risk of confounding age differences with cohort differences
Cross Sectional
Collects information about groups of various ages at one time
Pros: Relatively less time consuming and expensive
Cons: Disconnected snapshots, requiring inferences about processes of change; if groups differ other than in age, risk of confounding age differences with those differences