overview of the day research methods statistical reasoning
TRANSCRIPT
Overview of the Day
Research Methods
Statistical Reasoning
What Characterizes Science?
– The use of theory • conceptual schemes for:
– organizing scientific observations
– organizing facts
– generating hypotheses
– Empiricism: • confirming or falsifying theory
– with data and facts
– and using standard methods for collecting data
Why do we Need a Science ofPsychology
• Limits of common sense and casual reasoning– overconfidence – hindsight
• Perceptual limitations• Human nature is complex • Increase our understanding of why we behave
as we do and mechanisms underlying behavior
How do Scientists get Data?
• Scientific Method
– controlled procedures that help to rule out other explanations
Variables
• Causal mechanisms and outcomes– independent variable (assumed cause)– dependent variable (assumed effect caused by
independent variable)
• Example:– anxiety (IV) --> self-esteem (DV)
Types of Scientific Studies
• naturalistic observation
• correlational study
• field experiment
• laboratory experiment
Statistics
• What scientists use to:– summarize data– understand relationships between variables– estimate the probability of events occurring by
chance– make inferences
Sampling
• Population – everyone or thing in a particular class
• Sample – a portion of people or things in a particular
class
• Random sample– each person or thing has an equal probability of
being included in a sample
Summarizing Data
• Graphs and Histograms (bar graphs)
• Measures of Central Tendency
• Measures of Variability
• Measures of Association
Graphs
• Visual display of data grouped by categories – example: the percentage of 3rd graders whose
IQ scores fall within various intervals
Central Tendency
• Mean (the average)
• Median (score in the middle)
• Mode (most frequent score)
• Example: what is the mean, median, and mode of the following five heights: 60, 63, 63, 65, 67, 68, 69?
Variability
• Degree of dispersion around the middle– standard deviation
• Example 1: which sample would have the largest standard deviations in height?
– a classroom of CMU students
– all people in an elementary school
• Example 2: What would indicate the most consistency in free-throw performance (percentage made per game) in a season? a high or low standard deviation?
Degree of Association
• Correlation coefficient (-1.0, 0, +1.0)
• Degree to which two variables are associated with each other (does not imply causality)
• Examples: – height and weight– packs of cigarettes per day and incidents of
lung cancer
Summary
• Science and scientific method
• Variables and types of scientific studies
• Statistics
• Sampling
• Summarizing data (graphs, central tendency, variability, association)