reniel.pptx

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Quantitative research examines phenomena through collection and analysis of numerical data. It has strengths such as the ability to generalize results to larger populations and analyze data quickly. However, it also has weaknesses such as high costs and lack of contextual factors. It requires large sample sizes for accurate findings but may ignore individual responses and sensitive issues. Overall, the best approach depends on the research question, and combining quantitative and qualitative methods can be most effective.

STRENGTH AND
WEAKNESSES OF
QUANTITATIVE RESEARCH

INTRODUCTION
Quantitative research is a methodical empirical methodology that collects
and analyzes numerical data to examine phenomena.
The ability of quantitative research generalize results to a bigger population
is one of its key advantages. Quantitative research can offer insights that
can be applied to a larger group of individuals by gathering data from a
representative sample of users.
In the other hand quantitative data does,however,have several limitations
that might compromise the study’s relevance,correctness,or validity.

STRENGTH
1. It is selective. Since it provides numerical
data, it can't be easily misinterpreted.

2. The use of statistical techniques
facilitates sophisticated analyses and
allows you to comprehend a huge
amount of vital characteristics of data.

3. The numerical data can be analyzed in a
quick and easy way. By employing statistically
valid random models, findings can be
generalized to the population about which
information is necessary.

4. Quantitative studies are replicable
Standardized approaches allow the study to
be replicated in different areas or over time
with the formulation of comparable findings.

WEAKNESSES
1. Quantitative research requires a large
number of respondents. It is assumed that
the larger the sample is, the more
statistically accurate the findings are.

2. it is costly. Since, there are more
respondents compared to qualitative
research, the expenses will be greater in
reaching out to these people and in
reproducing the questionnaires.

3. The information contextual factors to help
interpret the results or to explain variations
are usually ignored. It does not consider the
distinct capacity of the respondents to share
and elaborate further information unlike the
qualitative research.

4. Many information are difficult to gather
using structures research instruments,
specifically on sensitive issues like pre-
marital sex, domestic violence, among
others.

5. if not done seriously and correctly, data
from the questionnaires may be incomplete
and inaccurate. Researchers must be on the
look-out on respondents who are just
guessing in answering the instrument.

CONCLUSION
In my conclusion, I learned the difference
between Qualitative and Quantitative
research.
Also the strength and weaknesses of
Quantitative research that it depends on the
question and goals of my study and often
combination of both methods is most
effective.

The document discusses quantitative research methods. It begins by defining quantitative data as pieces of information that can be counted, often from large random samples. Both qualitative and quantitative methods are then described as complementary approaches. Key points about quantitative research include: it aims to determine relationships between variables; designs are descriptive or experimental; it focuses on numbers, logic and objectivity rather than divergent reasoning; and characteristics include using structured instruments, representative large samples, reliability, clearly defined questions, and numerical data. The strengths are broader generalization while weaknesses include less detail and flexibility.

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This document provides an overview of quantitative research methods. It defines quantitative research as a systematic investigation of phenomena by collecting quantifiable data. The document then outlines the key characteristics of quantitative research, including that it is objective, uses clearly defined research questions, structured instruments, numerical data, large sample sizes, and can be replicated. Strengths and weaknesses of quantitative research are discussed. Finally, different types of quantitative research designs are described, including experimental, quasi-experimental, and various non-experimental designs like surveys, correlations, comparisons, and evaluations.

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Family Practice ? Oxford University Press 1996 Vol. 13, No. 6 Printed in Great Britain Sampling for qualitative research Martin N Marshall Marshall, MN. Sampling for qualitative research. Family Practice 1996; 13: 522-525. The probability sampling techniques used for quantitative studies are rarely appropriate when conducting qualitative research. This article considers and explains the differences between the two approaches and describes three broad categories of naturalistic sampling: convenience, judgement and theoretical models. The principles are illustrated with practical examples from the author's own research. Keyword. Qualitative sampling. Introduction The benefits of a qualitative approach to health care research are becoming increasingly recognized by both academics and clinicians, but misunderstandings about the philosophical basis and the methodological approach remain. The impression is sometimes given that qualitative research differs from the hypothetico- deductive model simply in terms of the way that data is collected. The process of sampling is one of the prin- cipal areas of confusion, a problem not helped by the inadequate way that it is covered in the literature, where there is little agreement on definitions and authors fre- quently invent new and complex terms which cloud simple fundamental issues. In this article I will describe both quantitative and qualitative methods of sampling and consider the basic differences between the two approaches in order to explain why the sampling techniques used are not transferable. I will consider issues relating to sample size and selection in qualitative research and illustrate the principles with practical examples. Quantitative sampling Choosing a study sample is an important step in any research project since it is rarely practical, efficient or ethical to study whole populations. The aim of all quantitative sampling approaches is to draw a representative sample from the population, so that the results of studying the sample can then be generalized back to the population. The selection of an appropriate method depends upon the aim of the study. Sometimes less rigorous methods may be acceptable, such as incidental or quota samples, but these methods do not guarantee Received 30 May 1996; Accepted 15 July 1996. Institute of General Practice, University of Exeter, Postgraduate Medical School, Barrack Road, Exeter EX2 5DW, UK. a representative sample. The most common approach is to use random, or probability samples. In a random sample the nature of the population is defined and all members have an equal chance of selection. Stratified random sampling and area sampling are variants of random sampling, which allow subgroups to be studied in greater detail. The size of the sample is determined by the optimum number necessary to enable valid inferences to be made about the population. The larger the sample size, the smaller the chance of a random sampling error, but since t ...

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Research Critique Essay example Advantages Of Quantitative Research Essay on Characteristics of Research Hypothesis and Research Question Essay example A Research Study On Research Methodology of Research Essay examples Ethics in Research Essay Mba English 101 Research Paper Ba 3129 Chapter 4 The Purpose Of Research Design Essay Experimental Research Designs Essay Importance And Purpose Of Research Essay Research Problem Essay on Types Of Research Essay on Research methods exam What I Have Learned About Research A Qualitative Research Question Paper

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reniel.pptx

1. NATURE OF INQUIRY AND RESEARCH

2. STRENGTH AND WEAKNESSES OF QUANTITATIVE RESEARCH

3. INTRODUCTION Quantitative research is a methodical empirical methodology that collects and analyzes numerical data to examine phenomena. The ability of quantitative research generalize results to a bigger population is one of its key advantages. Quantitative research can offer insights that can be applied to a larger group of individuals by gathering data from a representative sample of users. In the other hand quantitative data does,however,have several limitations that might compromise the study’s relevance,correctness,or validity.

4. STRENGTH

5. STRENGTH 1. It is selective. Since it provides numerical data, it can't be easily misinterpreted.

6. 2. The use of statistical techniques facilitates sophisticated analyses and allows you to comprehend a huge amount of vital characteristics of data.

7. 3. The numerical data can be analyzed in a quick and easy way. By employing statistically valid random models, findings can be generalized to the population about which information is necessary.

8. 4. Quantitative studies are replicable Standardized approaches allow the study to be replicated in different areas or over time with the formulation of comparable findings.

9. WEAKNESSES

10. WEAKNESSES 1. Quantitative research requires a large number of respondents. It is assumed that the larger the sample is, the more statistically accurate the findings are.

11. 2. it is costly. Since, there are more respondents compared to qualitative research, the expenses will be greater in reaching out to these people and in reproducing the questionnaires.

12. 3. The information contextual factors to help interpret the results or to explain variations are usually ignored. It does not consider the distinct capacity of the respondents to share and elaborate further information unlike the qualitative research.

13. 4. Many information are difficult to gather using structures research instruments, specifically on sensitive issues like pre- marital sex, domestic violence, among others.

14. 5. if not done seriously and correctly, data from the questionnaires may be incomplete and inaccurate. Researchers must be on the look-out on respondents who are just guessing in answering the instrument.

15. CONCLUSION In my conclusion, I learned the difference between Qualitative and Quantitative research. Also the strength and weaknesses of Quantitative research that it depends on the question and goals of my study and often combination of both methods is most effective.

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