190 likes | 372 Views
Experimental vs. Causal-Comparative Studies. Topic 3. Experimental Study. Study where treatments are given to observe their effects Treatments – input or stimulus given by the researcher Not useful when a study would be physically, ethically, legally, or financially impossible. Demographics.
E N D
Experimental Study • Study where treatments are given to observe their effects • Treatments – input or stimulus given by the researcher • Not useful when a study would be physically, ethically, legally, or financially impossible
Demographics • Used to define groups in a study • People with similar background characteristics such as socioeconomic status
Causal-Comparison Study • Non-experimental study • Also called ex post facto study • Characteristics of the study • Observe and describe a current condition • Look to the past to identify possible causes • No treatment given • More potential pitfalls – need to select comparison groups carefully
Nonexperimental Studies • Purpose is to observe/measure • Researcher does not try to change participants in any way • Causal-Comparative Research • Survey • Census • Case Study • Longitudinal Research • Correlational Research • Research Methods
Causal-Comparative Research • Look to the past for causes of a current condition • Interested in the causality, but an experiment is not possible
Survey • Also known as a poll • Describes the attitudes, beliefs and behaviors of a population • Uses a sample or portion of the population being studied • With a good sample, generalizations about the population may be drawn
Census • Just like a survey, but all individuals in the population participate instead of using a sample
Case Study • Usually only one participant • Often used in clinical psychology • Focus on thorough knowledge of an individual over a period of time • In-depth questioning occurs
Longitudinal Research • A study over a long period of time to trace developmental trends
Correlational Research • Researchers study the degree of a relationship of quantitative variables • Example: college admissions test and GPAs • “Did those with high admissions scores tend to earn high GPAs?”
Research Methods • Quantitative • Qualitative • Historical
Quantitative Research • Data is easy to quantify or put a number to • Allows for statistical analysis
Qualitative Research • Data is gathered through open-ended interviews • Analyzed through major and minor themes in responses • Uses semi-structured interviews • Core list of questions • Deviating follow-up questions
Historical Research • To understand the past • Use facts and dates to understand the dynamics of human history • Driven by theories and hypotheses • Hypotheses are evaluated using collected data • Both qualitative and quantitative methods are used • Will not be a focus of this text