Research Methods
Research Methods
Overview of Research in Human Development
Scientific Method: A structured approach to answering questions through systematic observation and information gathering (Kuther, 2023, p. 28).
Basic Steps:
Identify the research question and formulate hypotheses.
Gather information.
Summarize the information and evaluate the hypothesis.
Interpret findings within the context of existing research and share results.
Central Concepts
Probability Density and Normal Distribution
Normal Distribution Characteristics:
Visualization illustrates distributions with various percentages reflecting standard deviations from the mean (c3).
Key markers include:
Mean (μ)
Standard deviations (σ)
Example: At μ - 4σ, only 0.13% of cases are present.
Hypothesis Formation
Hypothesis: A testable prediction derived from a theory; proposed explanation for a phenomenon (Berk, 2013, p. 41; Kuther, 2023, p. 674).
Example: "If students receive better teaching, then their exam scores will improve."
Measurement Reliability and Validity
Reliability
Definition: The consistency of a test's results over time.
Synonym: Consistency
Validity
Definition: The degree to which an instrument accurately measures what it intends to measure.
Synonym: Accuracy
Types:
Good vs. Poor Validity
Target A: Poor Validity, Good Reliability
Target C: Good Validity, Good Reliability
Generalizability
Definition: The applicability of results from a sample to a larger population.
Key Concepts:
Population: The complete set of items (individuals).
Sample: A subset of the population used for research.
Research Designs
Correlational Research Design
Definition: Examines relationships among measured characteristics, behaviors, and events (Kuther, 2023, p. 32).
Correlation Coefficient:
Magnitude: Ranges from 0 to 1.00; closer to 1 indicates stronger relationships.
Direction: Positive (+) vs. Negative (-) correlations.
Examples:
Positive Correlation (+): Higher warmth corresponds with higher compliance in children.
Negative Correlation (-): Increased restriction corresponds with decreased compliance in children.
Experimental Design
Components:
Independent Variable (manipulated)
Dependent Variable (outcome)
Groups:
Experimental Group: Receives the treatment.
Control Group: Similar conditions without treatment.
Random Assignment: Ensures equal chance of group placement.
Data Collection Methods
Types of Measures
Observational Measures
Naturalistic: Real-world settings, behaviors as they occur.
Structured: Controlled environments, manipulating conditions.
Self-Report Measures: Interviews, questionnaires.
Physiological Measures: Techniques like EEG, MRI to assess biological data.
Advantages and Disadvantages
Observational Methods:
Advantage: Real-time data collection.
Disadvantage: Observer presence can influence behavior.
Designs for Studying Development
Cross-sectional Design
Definition: Compares different age groups at one time (Kuther, 2023, pp. 35, 671).
Advantages: Efficient, no issues with attrition.
Disadvantages: Cannot study individual development or cohort effects.
Longitudinal Design
Definition: Follows the same group over multiple points (Kuther, 2023, p. 36).
Advantages: Can assess developmental changes over time.
Disadvantages: Potential for biased sampling, selective attrition, and practice effects.
Ethics in Research with Children
Considerations
Protection from harm,
Risks vs. benefits,
Informed consent,
Privacy,
Debriefing.
Critical Thinking Skills
Ask Questions
Examine the Evidence
Avoid Emotional Reasoning
Consider Alternate Explanations
Tolerate Uncertainty
Conclusion: Seeking and Sharing Truth
Align scholarship with gospel principles.
Recognize that all truth, whether scientific or religious, can coexist peacefully.
Foster a spirit of inquiry and reflection that nurtures faith and understanding.