It is used to quantify attitudes, opinions, behaviors, and other defined variables — and generalize results from a larger sample population. Quantitative Research uses measurable data to formulate facts and uncover patterns in research.
Quantitative data collection methods are much more structured than Qualitative data collection methods. Quantitative data collection methods include various forms of surveys — online surveys, paper surveys , mobile surveys and kiosk surveys, face-to-face interviews, telephone interviews, longitudinal studies, website interceptors, online polls, and systematic observations.
Snap has many robust features that will help your organization effectively gather and analyze quantitative data. While defining quantitative and qualitative research based on their uses and purposes may be considered a practical approach for researcher, the difference actually lies on their roots: Procedures, designs, concepts, purposes and uses emanate from there.
Example on qualitative research referring to quality where problems are answered without generally focusing on quantity, are descriptions in words coming form interviews, discussions or observations. However when words are translated to quantity in order to describe or to generalize, then the research is now called quantitatitive research. The bottom lines are the questions: Many thanks for giving me clear understanding around the differences between the qualitative and quantative research.
Thanks a millions time. I was struggling to get an idea of how to approach the definitions. In fact I was even hesitating to answer the questions confidently. Thanks for the distinct comparison between qualitative and quantitative Research, very very helpful. Thank you for making me to understand the difference between qualitative Research and quantitative research.
Thanks a lot for the insightful distinction between Qualitative and Quantitative research. However, the differences as you enumerated did not factor in the advantages and disadvantages of both research tools.
My special thanks goes to Camilo Tabinas for suggesting that the difference between quantitative and qualitative research method stems from the roots of quantity and quality. Quantitative approach stems from the ontological view that objective reality exist independently of human perception Slevitch, Qualitative and quantitative methodologies compared: Ontological and Epistemological Perspectives.
Journal of Quality Assurance in Hospitality and Tourism, 12, Qualitative research is inductive , descriptive research, how ever some researcher use both inductive and deductive depends on the nature and purpose of the research the hyposis you intend to examine.
Table 1 shows an age frequency distribution with five categories of age ranges defined. The same frequency distribution can be depicted in a graph as shown in Figure 1. This type of graph is often referred to as a histogram or bar chart. Frequency distribution bar chart. Distributions may also be displayed using percentages. For example, you could use percentages to describe the:. The central tendency of a distribution is an estimate of the "center" of a distribution of values. There are three major types of estimates of central tendency:.
The Mean or average is probably the most commonly used method of describing central tendency. To compute the mean all you do is add up all the values and divide by the number of values. For example, the mean or average quiz score is determined by summing all the scores and dividing by the number of students taking the exam.
For example, consider the test score values:. The Median is the score found at the exact middle of the set of values. One way to compute the median is to list all scores in numerical order, and then locate the score in the center of the sample. For example, if there are scores in the list, score would be the median.
If we order the 8 scores shown above, we would get:. There are 8 scores and score 4 and 5 represent the halfway point. Since both of these scores are 20, the median is If the two middle scores had different values, you would have to interpolate to determine the median. The mode is the most frequently occurring value in the set of scores. To determine the mode, you might again order the scores as shown above, and then count each one.
The most frequently occurring value is the mode. In our example, the value 15 occurs three times and is the model. In some distributions there is more than one modal value. For instance, in a bimodal distribution there are two values that occur most frequently. Notice that for the same set of 8 scores we got three different values -- If the distribution is truly normal i.
Dispersion refers to the spread of the values around the central tendency. There are two common measures of dispersion, the range and the standard deviation. The range is simply the highest value minus the lowest value. The Standard Deviation is a more accurate and detailed estimate of dispersion because an outlier can greatly exaggerate the range as was true in this example where the single outlier value of 36 stands apart from the rest of the values.
The Standard Deviation shows the relation that set of scores has to the mean of the sample. Again lets take the set of scores:. We know from above that the mean is So, the differences from the mean are:. Notice that values that are below the mean have negative discrepancies and values above it have positive ones. Next, we square each discrepancy:. Now, we take these "squares" and sum them to get the Sum of Squares SS value.
Here, the sum is Next, we divide this sum by the number of scores minus 1. Here, the result is This value is known as the variance. To get the standard deviation, we take the square root of the variance remember that we squared the deviations earlier. This would be SQRT Although this computation may seem convoluted, it's actually quite simple.
To see this, consider the formula for the standard deviation:. In the top part of the ratio, the numerator, we see that each score has the the mean subtracted from it, the difference is squared, and the squares are summed.
In the bottom part, we take the number of scores minus 1. The ratio is the variance and the square root is the standard deviation.
Descriptive research design is a valid method for researching specific subjects and as a precursor to more quantitative studies.
Chapter 11 Descriptive and interpretive approaches to qualitative research Robert Elliott and Ladislav Timulak Qualitative research methods today are a diverse set, encompassing approaches such as.
Focus on Research Methods Whatever Happened to Qualitative Description? of Nursing, Chapel Hill, NC Received 10 September ; accepted 14 January Abstract: The general view of descriptive research as a lower level form of inquiry has inﬂuenced some researchers conducting qualitative research to ing qualitative descriptive. Qualitative description (QD) is a label used in qualitative research for studies that are descriptive in nature. This genre is particularly common in qualitative studies of health care and nursing-related phenomena (Polit & Beck, , ).
Quantitative Descriptive Analysis (QDA) is a registered trademark with the United States Patent and Trademark Office. The term was coined by Herbert Stone (a food scientist) and Joel L. Sidel (a psychologist)  in while at the Stanford Research Institute, . 1 Supplement for Chapter 14 Qualitative Descriptive Studies M any nursing studies that involve the collection and analysis of qualitative data do.