Quantitative Research PDF

Summary

This document defines quantitative research, describing it as an objective, systematic investigation of observable phenomena. It highlights the characteristics, strengths, and weaknesses of this research approach, emphasizing its focus on numerical data and empirical observations. The importance of quantitative research across various fields is also discussed, but without much detail.

Full Transcript

Quantitative Research Quarter 1 : Lesson 1 Learning Objectives: After this lesson, you should be able to: define what is Quantitative Research; identify the similarities and differences between Quantitative and Qualitative Research; annotate the impo...

Quantitative Research Quarter 1 : Lesson 1 Learning Objectives: After this lesson, you should be able to: define what is Quantitative Research; identify the similarities and differences between Quantitative and Qualitative Research; annotate the importance of quantitative research across fields; and illustrate the characteristics, strengths, weaknesses, and kinds of quantitative research. What is Quantitative Research? is an objective, systematic, empirical investigation of observable phenomena by gathering quantifiable data analyzed using mathematical, computational, or statistical techniques (PRICE & OSWALD, 2006) is a systematic scientific investigation of data and their relationship. Designs are structurally scientific methods, utilizing deductive reasoning in the form of hypotheses. (FRANKFORT-NACHMIAS & NACHMIAS, 2008) Designs are factual and based on data-driven information from specific measurement instrument (s) rather than perception. ❑ OBJECTIVE ❑ CLEAR Characteristics ❑ CLOSE-ENDED QUESTIONS of ❑ SYSTEMATIC Quantitative Research ❑ DEALS with NUMBERS ❑ FEASIBLE ❑ OBJECTIVE - it is logical. (What and How) ❑ CLEAR - the researcher must know what he wants to find out through variables and indicators. ❑ CLOSE-ENDED QUESTIONS – questions must be leading to the needed data. Close-ended questions are more reliable than open-minded questions. ❑ SYSTEMATIC – there is an orderly procedure to arrive at the discovery of truth or a scientific acceptance. ❑ DEALS with NUMBERS– that is measurable: length, height, temperature, frequency, cost, brand and level. ❑ FEASIBLE – workable, practicable and possible. Strengths of Quantitative Research 1. It is objective. The researcher remains separated from the subject matter or from the respondents. 2. It is empirical. It can be observed and verified. It can be experienced. 3. It is data-driven. The focus is on counting and measuring. 4. It is structured. Categories of responses are allowed to facilitate analysis of data in a quick and easy way to derive at a generalization. 5. It can be replicated. Equivalent measurement of the same set of variables may be done to ensure the results of the hypothesis in a previous study. Weaknesses of Quantitative Research 1. Large Sample. It may require a large number of respondents to determine pattern. 2. It is generally expensive. The large number of responses entails production of research instruments with a ratio of 1:1 (1 research instrument: 1 respondent). 3. Close-ended. If the researcher limited the options for respondents, it may affect the accuracy of the research. Thank you for listening! ☺

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