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Quantitative Research. SPED 500 Dr. Sandra Beyda. Designs that maximize objectivity by using numbers, statistics, structure, and experimenter control. Modes Experimental mode Non-experimental mode. Quantitative Research. Structure of a Data Based Study. Abstract Introduction Method
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Quantitative Research SPED 500 Dr. Sandra Beyda
Designs that maximize objectivity by using numbers, statistics, structure, and experimenter control Modes Experimental mode Non-experimental mode Quantitative Research
Structure of a Data Based Study • Abstract • Introduction • Method • Results • Discussion • Summary & Conclusions • References
Experimental Research Types True experiment Quasi-experimental Single Subject
True Experiments • Internal validity • External validity • Randomization • Systematically vary or manipulate • Hold constant • Assume invariance or irrelevance • Matching • Statistical control
Threats to Internal Validity Maturation When there is a statistically significant result (X > Control) History Testing Nonequivalence Regression Interactions with Selection Mortality Instrumentation
Threats to Internal Validity Insensitive dependent variable When there are non-significantly different results: Small sample size Treatment implementation Treatment not long enough John Henry Effect Treatment diffusion
Threats to External Validity • Population validity • Ecological validity • Operations validity
True Experiment Designs • Posttest only • Pretest-Posttest • Solomon 4 Group Design • Factorial Design
Quasi-experimental Research Designs • No Random Assignment! • One group • Time series approach • Two groups • Static group comparison • Non-equivalent control group
Reliable measurements Repeated measurements Baseline Introduction of treatment Reversal or withdrawal Maintenance Replication Single Subject Research Characteristics
Single Subject Research Designs AB ABA ABAB Multiple Baseline
Descriptive Comparative Correlational Ex Post Facto Non-Experimental Modes of Inquiry
Descriptive Research • Single Group • Cross-sectional • Longitudinal
Correlational Research • Purpose:What is the relationship between variable A and B? • Uses: • Theory building • Establish predictive relationships
Correlational Research • Bivariate correlational studies • Prediction studies • Predictor variable • Criterion variable
Correlational Research Limitations • Correlation and Causation • Spurious Correlations • Size of Correlation Coefficients
Ex-Post Facto Research • Purpose: • To examine how an identified independent variable effects the dependent variable when circumstances do not allow for the manipulation of the independent variable • Conditions for establishing cause-effect connections • (1) statistical significance- • (2) IV before DV. • (3) Alternative causes
Ex-Post Facto ResearchDesigns • Single Group • Between Group • Problems • Self selection • Correlation-causation fallacy • Direction of causality