Week 2- Methods and statistics Flashcards
Explain the difference between an experiment and a correlation study (utility, advantages, disadvantages)
Naturalistic observations: observation in a natural environment
Clinical observations: observation while undergoing treatment/diagnosis for psychological condition
Correlation study: relationship between at least 2 measurements of behaviors (cant determine causation)
Experiment: research alters independent variable and observes if it affects dependent variable (can determine causation)
Step 1 of scientific method (3 parts)
Identify the problem:
-formulate cause and effect relationship
-create hypothesis
Theory: statements designed to explain set f phenomena that summarizes group of hypothesis
Step 2 of scientific method (6 parts)
Design Experiment:
-independent variable: manipulated by experiment (x)
-dependent variable: measured data (y)
-operational definition: measurable definition
-validity: how appropriate a construct is in testing hypothesis
-confounding variable: accidental manipulation of more than one variable
-counterbalancing variable: varying the conditions of experiment to avoid confounding, habituation, fatigue
Control group: Not effected by independent variable (placebo group)
Experimental group: Group of participants exposed to a particular value of independent variable (one group=5 pills, one group= 2 pills, and one control group)
Step 3 in scientific method (4 parts)
Perform Experiment:
- reliability: likeliness of measurement being repeatable and the same results found every time
- random assignment: each individual has equal chance of being assigned to any group (condition)
- single-blind experiment: researcher aware of independent variable (participant is not)
- double blind: neither researcher nor participant is aware of independent variable
Step 4 of scientific method (1 part)
Evaluate hypothesis:
-Generalization: conclusion that results are obtained from a sample can also apply to population
Step 5 of scientific method (1 part)
Communicate results
Summarize the ethical issues involved in psychological research
- ensure safety of participants
- benefits outweigh risks
- consent is obtained
- lack of coercion
- privacy
- debriefing
Distinguish between the 2 main types of design and the conclusions that we can draw from each
Validity: Procedure actually measures what it perceives to measure
Reliability: Provides consistent answers across multiple observations and points in time
conclusions: we can use it to determine our hypothesis through a population
Explain the use of descriptive statistics and measures of association/ inferential statisctics
Descriptive statistics: Summarizes data ex. mean, median, mode (measures of central tendency)
- measures of variability: range, std. dev, variance
- measures of relations: correlation coefficient, scatter plot
- measures of association: relationship between 2 measured quantities (related to correlation)
- inferential statistics: whether or not results are statistically significant (5% or less variance)
Utilize methods and processes used in inferential statistics, including correlation and causation
Inferential statistics: used to determine what data means
- test reliability of data
- infer and apply results from sample to larger population
- correlations: determine nature of relationship between 2 variables
- causation: action of causing something
Explain the definition and use of measures of central tendency and measures of variability and measures of rellations
Central tendencies: mean (average), median (middle), mode (most frequent #)
Measures of relations: correlation coeffeicent, scatter plot, positive/negative correlation
Measures of variability: range (difference between highest and lowest score), std. dev. (how scores in a data set differ from mean)
Apply knowledge of psychological research, critical thinking, and research design to critically evaluate psychological claims in the popular media (ask questions like)
- need to analyze reliability, variability, and generalization of information presented
- ask q’s like: does study produce same results every time, is it measuring what it is intended to, are the results true across population (if repeated with many different samples, same outcome?)