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Quantitative Design Options

Quantitative Design Options . Non-Experimental. Non-Experimental Research:. Investigates the current status of something (the way things are or were) Describes participants, traits, scores, etc. Descriptive Studies.

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Quantitative Design Options

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  1. Quantitative Design Options Non-Experimental

  2. Non-Experimental Research: • Investigates the current status of something (the way things are or were) • Describes participants, traits, scores, etc.

  3. Descriptive Studies • Describes phenomenon in terms of statistics, frequencies or percentages or variability • Typical when an area is first investigated • Refer to pp. 186-188 in ER

  4. Comparative Studies • Used to investigate the relationship of one variable to another (Exm. Male or female teachers and CRCT scores) • These studies can show relationships but not causation • See pp. 189-193 of ER

  5. Correlational Studies • Examines the extent to which differences in one characteristic (or variable) are related to differences in one or more other variables. • At least two scores are obtained from each participant

  6. Causal-Comparative & Ex Post Facto Studies • Designed to determine cause & effect • C-C monitors intervention as it occurs • EPF studies the possible effect of an intervention after the fact

  7. Surveys • Usually study a large population • Used to gather demographic or attitudinal data • Can be used as one source of data in other non-experimental studies

  8. Observation Studies • The focus is on quantifying a particular behavior • Can be used to provide data for other types of studies • Emphasis is on objectivity of observer

  9. Common A.R. Designs • Interrupted Time Series Pr1 Pr2 Pr3 Intervention Po1 Po2 Po3 • Equivalent Time Series M/O Intervention M/O Intervention M/O

  10. Common A.R. Designs • Repeated-Measures M/O Treatment #1 M/O Treatment #2 M/O • Single-Subject 1. A/B 3. Alternating 2. Multiple Baseline Treatments

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