1 / 29

Quantitative Studies

Quantitative Studies. Curriculum Designed by Dorothy Kropf. Module 1. Instructor: Dorothy Kropf, M.A. Doctoral Student of Education at Walden University Specialization: Educational Technology Area of Interest: Research and Higher Educational Issues.

sabina
Download Presentation

Quantitative Studies

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Quantitative Studies Curriculum Designed by Dorothy Kropf

  2. Module 1 • Instructor: Dorothy Kropf, M.A. • Doctoral Student of Education at Walden University • Specialization: Educational Technology • Area of Interest: Research and Higher Educational Issues

  3. Quantitative Research Design • In a quantitative research design, the researcher poses several hypotheses to analyze the cause and effects of specific variables in order to predict and explain certain phenomenon (Creswell, 2009).

  4. Theoretical Framework • To conduct a study, you must have a theoretical framework. What are you basing your research on?

  5. Deductive Reasoning • What new questions or observations do you have? • Do you want to investigate a phenomenon? • Do you want to see if an intervention that worked for a small school will work in a larger school?

  6. Deductive Reasoning • Start with a research problem.

  7. Deductive Reasoning • Start with a research problem. A research problem is a question that stimulates a response through scientific inquiry.

  8. Quantitative Research Design • Quantitative research designs start with observations that need further explanations and theories. They make predictions that can potentially answer the hypotheses.

  9. Quantitative Research Design • Quantitative research designs are structurally scientific methods, utilizing deductive reasoning in forms of hypotheses (Price & Oswald, 2009).

  10. Quantitative Research Design • The outcomes measured in a quantitative research design are factual and based on data-driven information from specific measurement instrument(s) rather than from perceptions (Frankfort-Nachmias & Nachmias, 2008).

  11. Quantitative Research Design • The overarching goal of a quantitative research design is to draw relationships between dependent and independent variables, thereby assisting the researcher in developing generalizations that explain or predict certain phenomenon (Creswell, 2009).

  12. Quantitative Research Design • Variables • According to Frankfort-Nachmias & Nachmias (2008), “the variable whose changes the researcher wishes to explain is known as the dependent variable, while the variable the researcher thinks induces or explains the change is the independent variable” (p. 49).   Wow! My kite flies higher when the wind blows harder!

  13. Quantitative Research Design • There are 3 types of measures in quantitative research designs: • Nominal • Ordinal • Interval • Ratio

  14. Quantitative Research Design • Example of Nominal measures: • 01 = Female • 02 = Male

  15. Quantitative Research Design • Example of ordinal measures: • College Education • 1=some college courses taken • 2=Associates Degree conferred • 3=Bachelor’s Degree conferred • 4= Master’s Degree conferred • 5= Doctoral Degree conferred

  16. Quantitative Research Design • Example of Intervals: • Test Scores: • A: =90-100% • B = 80-89% • C= 75-79% • D= 70-74% • F= 69% and below

  17. Typesof Quantitative Research Designs

  18. Quantitative Research Design • Experimental Design • A design in which the researcher controls and manipulates variables to determine cause and effects.

  19. Quantitative Research Design • Balanced Experimental Design: allows “equal number of observations” despite of the randomness of the study (University of Texas at Austin, n.d.)

  20. Quantitative Research Design • Correlational Research Design: A study that examines the relationship between variables and outcomes. • Hypothetical Example: There is a strong correlation (or link) with income and the type of car one drives. Again, this is only hypothetical – the more income a salesperson makes, the nicer his car....

  21. Quantitative Research Design • Quasi-experimental Design: • The researcher has control over the selected participants and the selected instrumentation. However, the researcher doesn’t have control over who will be exposed and when will the exposure occur.

  22. Quantitative Research Design • Single case research: • Continuous study of human behavior over time. Example: an intervention study

  23. Quantitative Research Design • Meta-analysis research • The researcher studies the aggregation of results with other relevant studies. • This type of research usually explores the effectiveness of a specific method (Frankfort-Nachmias & Nachmias, 2008). • .

  24. Variables • Properties or attributes a researcher would like to identify and measure. • Types of variables: • Independent variable • Dependent variable • Control variable

  25. Independent Variable • Independent variable is the variable that the • Researcher has control over. This means that this variable can be manipulated.

  26. Dependent Variable • Is not a variable that a researcher can manipulate. Instead, a dependent variable can be observed and measured as a result of the variations of the independent variable.

  27. Control Variable • A variable that the researcher will keep constant.

  28. End of Module 1 To prepare for module 2: Review the terminologies in this module then decide on a quantitative study you would like to conduct. Identify what type of research design it is, what your variables are, and your research questions

  29. Bibliography • Creswell, J. W. (2009). Research design: Qualitative, quantitative, and mixed methods approaches (3rd ed.). Thousand Oaks, CA: Sage Publications. • Frankfort-Nachmias, C., & Nachmias, D. (2008). Research methods in the social sciences (7th ed.). New York: Worth Publishers. • Price & Oswald (2008). Experimental research. Retrieved from http://psych.csufresno.edu/psy144/Content/Design/Types/experimental.html • Price & Oswald (2009). Developmental research. Retrieved from http://psych.csufresno.edu/psy144/Content/Design/Types/experimental.html • Simon, M. (n.d.) Quantitative research: The “N” side in the paradigm war [PowerPoint slides]. Retrieved from https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=12&ved=0CDIQFjABOAo&url=http%3A%2F%2Fmyweb.cebridge.net%2Fkimblum%2FQuantitative%2520Researchpresentation.ppt&ei=x9cpU9_hMo7eoASg5oCwDw&usg=AFQjCNGnys3Q6t6w5sgnIyTIvd8rqcqmww&sig2=Eum26gRrDj_vW_RKKdtlwg • University of Texas at Austin (n.d.). The statistics glossary. Retrieved from University of Texas at Austin website: http://www.stats.gla.ac.uk/glossary/?q=node/543

More Related