Quantitative data examples

Research Examples. The opposite of this is quantitative data, which is data that uses numbers. As a general rule, counts are discrete and measurements are continuous. Qualitative data is descriptive, which is more difficult to analyze then quantitative data which is categorized, ranked, or in units of measurement. There are four black cats and five orange cats (quantitative). Quantitative data collection contains the use of statistics to assess information. Quatitative data are anything that can be expressed as a number, orquantified. Good examples of ratio variables include height, weight, and duration. The percent grade of students in a classroom. Example of Quantitative Data Quantitative data is 'number crunching' data, used for quantifying information segments. Christopher Tienken Dr. Data.


In future, machines may become equally adept at expressing complex ideas with words. Quantitative data is Information that can be expressed in numerical terms, counted, or compared on a scale. Many research involve a combination of qualitative and quantitative methods. Common examples of quantitative data collection strategies may include: Experiments and clinical trials. Quantitative data is information about quantities; that is, information that can be measured and written down with numbers. For this reason, scientists used standardized measurements for data. The painting is 14 inches wide and 12 inches long. Examples of quantitative data are scores on achievement tests,number of hours of study, or weight of a subject. However, not all numbers are continuous and measurable. While some business leaders have stronger innate abilities with this skill, learning to analyze data, derive Qualitative and quantitative information used together provide a full range of information for the topic or circumstances being researched. while quantitative data are length, width, height, weight, area, speed, age, etc.


5 calories (quantitative). A cost-benefit analysis is a common type of business decision-making tool Break-Even Analysis. In addition to explaining the basis of quantitative analysis, the site also provides Example of a Quantitative Writing Assignment. Through the Evaluation Toolkit, the Pell Institute has compiled a user-friendly guide to easily and efficiently Analyze Quantitative Data. The research manager must also think of ways the information can be used to the company's advantage. Weight and height are also examples of quantitative variables. Quantitative reasoning is one of the top skills any business executive can have. These data may berepresented by ordinal, interval or ratio scales and lend themselves to moststatistical manipulation. The number of cars in each row of a parking lot. Quantitative data is a numerical measurement expressed not by means of a natural language description, but rather in terms of numbers. On the other hand, grades of A, B, or C can’t be added together unless you convert them to numbers, so A, B, and C, are not quantitative.


A nurses’ guide to Quantitative Research. The weight of a person or a subject. Following are the examples of qualitative data and quantitative data: The cake is orange, blue and black in color (qualitative). You are writing a dissertation exploring the impacts of foreign direct investment (FDI) on the levels of economic growth in Vietnam using correlation quantitative data analysis method. 1. Databib is a searchable catalog / registry / directory / bibliography of research data repositories. John is six feet tall. The basic examples of this type of data include the height, weight, size of shoe, number of oranges, length of your nails and so on. Examples of Quantitative Reasoning for a Business Cost-Benefit Analysis. Barbara Strobert Dr. If s person is made to undergo a blood test, and it confirms that alcohol percentage is 0.


Quantitative data . There is no order associated with male nor female Each category is assigned an arbitrary value (male = 0, female = 1) Ordinal data – data has a logical order, but the differences between values are not constant Example: T-shirt size (small, medium, large) Example: Military rank Sample Problem. Kelly Cooke Dr. This helps the researcher develop a real sense of a person’s understanding of a situation. Quantitative Analysis Examples The act of examining the performance of a business, or the results of one of your choices, or researching the impacts of possible business actions you can take is called making an analysis. Quantitative information including attendance records and production reports assist with identifying individual and team problems within an organization. As discussed in Module 4 (click here to review this module), there are two types of data: qualitative and quantitative. Focus groups and interviews are common methods used to collect qualitative data. To do the assignment, students must make inferences from the table, do calculations, convert tabular data to bar or line graphs, and then use the data meaningfully in their own arguments. You want to find how many cars pass by a certain point on a road in a 10-minute interval. 3), so that means it’s quantitative.


Females have brown, black, blonde, and red hair (qualitative). It has roots in both the positivist view of the world, and the modern marketing viewpoint that marketing is an interactive process in which both the buyer and seller reach a satisfying agreement on the "four Ps" of marketing: Product, Price, Place (location) and Promotion. ), each has value. Qualitative data isn't exact like quantitative data, so there isn't an exact answer in qualitative all the time. readers with the terms associated with data collection tools, methodology, and sampling. Deductive reasoning used to synthesize data . That is to say, that processing qualitative data requires natural language processing using advanced techniques such as artificial intelligence. For example, qualitative data are gender, country, city, nationality, etc. 0 = 7. This information can then be evaluated using statistical analysis which offers researchers the opportunity to dig deeper into the data and find out the required ins Quantitative marketing research is the application of quantitative research techniques to the field of marketing. Develops theory.


The number of hours of study. Measurement of physical objects: Calculating measurement of any physical thing. Common techniques include surveys and observation. If you have quantitative data, like time to complete a task or number of questions correct on a quiz, then the data can be either continuous or discrete. The result is often in the form of statistics that is meaningful and, therefore, useful. A variable is a factor that can be controlled or changed in an experiment (Wong 2014 p125). Counter: Count equated with entities. The gender of respondents in a study, dividing light bulbs into categories like "very bright," "somewhat bright" and "dim," or the type of pizza a customer prefers are all examples of qualitative data. 1. In our medical example, age is an example of a quantitative variable because it can take on multiple numerical values. Quantitative data may be used in computation and statistical test.


Studies may be univariate, bivariate or multivariate in nature. The word quantitative implies quantity or amounts. Quantitative questions will result in data that is easy to convert into objective, numbers-based analysis. Continuous data technically have an infinite number of steps, which form a continuum. Therefore it becomes evident that quantitative data provides information about quantities which means the type of information that is measurable or which can be written down in the form of numbers. However, such data can highlight potential issues which can be explored in quantitative research. For example, the number of people who download a particular application from the App Store. Quantitative research Learn the difference between these two forms of data and when you should use them. A nominal scale is a scale where no ordering is possible or implied (except for alphabetical ordering like New York, Washington, West Virginia or Chelsea, Edinburgh, London). Interpreting data through analysis is key to communicating results to your stakeholders. Categorical data are often information that takes values from a given set of categories or groups.


3 + 4. Quantitative Data Collection Methods Data can be readily quantified and generated into numerical form, which will then be converted and processed into useful information mathematically. Let’s take another example. This allows the respondent to talk in some depth, choosing their own words. For example, quantitative data is used to measure things precisely, such as the temperature, the amount of people in a crowd or the height of a structure. The Center for Social Science Computation and Research located at UWS, has a searchable data archive. It also makes sense to think about it in numerical form; that is, a person can be 18 years old or 80 years old. Qualitative research . A. The Role and Function of Quantitative Methods in Health Services Management Learning Objectives After studying this chapter, you should be able to: . For example: molecule length = "450 nm" height = "1.


2. More on quantitative variables. Quantitiative data can be measured and analyzed, while qualitative data can only be observed and reported, and The most common sources of quantitative data include: Surveys , whether conducted online, by phone or in person. S. g. Hybrid Sampling – For the uncomfortable Pillow Pet design, a new design offered a bigger pillow-head area, the pillow snake was given a happier smile and the Panda Pillow Pet was offered in recognizable black and white colors. Quantitative data is numerical data. The main difference between qualitative and quantitative data is that qualitative data is descriptive while quantitative data is numerical. Quantitative Analysis in Evaluation. Data for this research was then analyzed using statistical methods. The following are common examples of qualitative data.


Quantitative data collected before and after an intervention can show its outcomes and impact. The following Slideshare presentation, Quantitative Data Analysis explains the use of appropriate statistical analyses in relation to the number of variables being examined. Describe how health services managers analyze, design, and implement in a systems context. Quantitative Data Analysis 1. Realism, subjectivism and the ‘paradigm wars’ Now we have defined quantitative research, it is a good idea to compare it with qualitative research, to which it is usually put in opposition. Quantitative Data Analysis Presenter: ASMA MUHAMAD FARHANA BINTI YAAKUB 1 2. Quantitative data stands in contrast to qualitative data, which is descriptive data. Function. What is the Difference Between Categorical and Quantitative data? Definitions of Categorical and Quantitative data: Quantitative data are information that has a sensible meaning when referring to its magnitude. The following are common types of quantitative data. It uses mathematical analysis and data to shed light on important statistics about your business and market.


Quantitative data is the language of science. Objective . Let’s look at examples of both Examples of quantitative data would be The number of pets, time of day, the temperature outside Quantitative data can be graphed If you count or measure, you are The U. P. Discrete data is a count that can't be made more precise. This type of data, found via tactics such as multiple-choice questionnaires, can help you gauge interest in your company and its offerings. Quantitative data is easier to measure using statistical analysis, because you can (usually) assign numeric values and directly compare different answers to the same questions. 85, 67, 90 and etc. Focus—concise and narrow . Inaccurate data collection can impact the results of a study and ultimately lead to invalid results. Observing or recording well-defined events such as the number of visits A good example of a qualitative research method would be unstructured interviews which generate qualitative data through the use of open questions.


Of course, data visualizations are usually only used with quantitative data. Tests theory . Quantitative data is any kind of data that can be measured numerically. Surveys, interviews and questionnaires that collect numerical information or count data by using closed-ended questions. Data thatrepresent nominal scales such as gender, socieo economic status, religiouspreference are usually considered to be qualitative data. A statistical analysis is any study of These examples of what it means for a word or expression to be qualitative can be used as a measure to determine if a description is qualitative or quantitative. 8+ Quantitative Risk Analysis Examples- PDF, Word In the corporate world, there is a need to analyze risks especially since most transactions and activities involved here costs huge sums of money. The tabular and diagrammatic presentation of data is also possible, in the form of charts, graphs, tables, etc. Qualitative data includes any information that can be captured, that is not numerical in nature. It is concerned with measurements like height, weight, volume, length, size, humidity, speed, age etc. For example, the social security number is a number, but not something that one can add or subtract.


Quantitative data is numerical data, whereas qualitative data has no numbers attached to it. You might want to count many 10-minute intervals at different times during the day, and on At the risk of repeating myself, everything above about interval data applies to ratio scales, plus ratio scales have a clear definition of zero. 1 glass of fizzy drink has 97. With current technologies, it is possible for almost anyone to distill quantitative data into text, or more visually, into a table or chart. The qualitative data indicates that 10% of the grain was unfit for sale due to fungal rot, 15% was unsuitable for human consumption, and should be used as animal feed. Inductive reasoning used to synthesize data. Quantitative vs. It allows for vast amounts of data to be collected -- and analyzed -- from a large number of people or sources. The aim of this short guide is to provide an introduction to using Microsoft Excel (hereafter: Excel) for quantitative data analysis within the context of a business and management research project. You can count them. 0 INTRODUCTION • Quantitative analysis involves the techniques by which researchers convert data to numerical forms and subject them to statistical analyses.


The hard numbers behind any good research project are called quantitative data. See similar articles YourDictionary definition and usage example. Considered soft science. Basis of knowing—cause and effect relationships Unlike in the case of qualitative analysis, in the quantitative analysis the data is analyzed through statistical means. Analysis of a Quantitative Research Article Introduction “My PICOT statement was: “In elderly hospitalized patients 60 years of age and above, do specific fall prevention interventions, as compared to standard care, reduce the amount of falls in an inpatient setting, during their hospitalization?” Data can be qualitative or quantitative. The lifetime of a batch of a certain electronic component. The Quantitative and quantitative variables Are properties that can change and whose fluctuation is observable in some way. Examples of Quantitative Data. •The data analysis that can be done depends on the data gathering that was done •Qualitative and quantitative data may be gathered from any of the three main data gathering approaches •Percentages and averages are commonly used in Interaction Design •Mean, median and mode are different kinds of Quantitative data collection contains the use of statistics to assess information. Quantitative methods emphasize objective measurements and the statistical, mathematical, or numerical analysis of data collected through polls, questionnaires, and surveys, or by manipulating pre-existing statistical data using computational techniques. 5 Most Common Types of Quantitative Data with Examples.


There are 4 cakes and three muffins kept in the basket (quantitative). Quantitative data can be expressed as numbers. Information was collected and distributed to individual schools, who then granted permission to the researcher to use that data. Quantitative research is designed to collect cold, hard facts. Analysis Of A Quantitative Research Article Essay 1908 Words | 8 Pages. Differentiate between efficiency and effectiveness as vital managerial interests. A tablet weighs 1. Quantitative Data Analysis. See also: categorical variable. height; weight; number of objects; volume; temperature; pressure; price; speed; percentages; Using Both Types of Data. This is a basic statistical form of data, considered raw data before analysis, and statistical data after the relevant controls are used to check for accuracy.


The volume of a gas and etc. Analyzing the numeric information produces results from data. Qualitative or Quantitative Data? The type of data collected depends on the question to be answered and the available resources. A bag of broccoli crowns weighs four pounds. gov The home of the U. Data analysis in mixed methods research consists of analyzing the qualitative data using qualitative methods and the quantitative data using quantitative methods; therefore, knowing the steps in both forms of analysis is necessary in mixed methods research (Creswell & Plano Clark, 2007). For example, quantitative research has the advantage of scale. Examples of quantitative data: Scores on tests and exams e. In other words, the nominal scale is where data is assigned to a category. Quantitative research focuses on gathering numerical data and generalizing it across groups A Quantitative Study of Teacher Perceptions of Professional Learning Communities' Context, Process, and Content By Dariiel R. The strengths of quantitative data for evaluation purposes include their generalizability (if the sample represents the population), the ease of analysis, and their consistency and precision (if collected reliably).


Examples of discrete data include anything that can be counted, such as the number of girls in a class, the number of apples in a fruit basket, and the number of boys who eat ice cream every day. In order to make sense of quantitative data, a reliable system of measuring and interpreting data must be created. Quantitative data is any data that is in numerical form. Qualitative information provides multiple points of view about a research topic, while quantitative data provides direct and objective information. Definition of Qualitative Data. Data collection methods used in qualitative research includes focus groups, triads, dyads, interviews and observation (Creswell, 2013). The boys have brown, black, blonde, and red hair (qualitative). Data in this study was gathered using the SAI survey instrument, which was an online, anonymous Likert scale tool. Let us comprehend this through an example. Here are some example of quantitative data: A jug of milk holds one gallon. Example of Quantitative Data.


Also, secondary data needs to be integrated in data analysis in a logical and unbiased manner. Michael Valenti Submitted in Partial Fulfillment Of the Requirements for the Degree Doctor of Education Seton Hall University Definition and meaning of Quantitative research Quantitative research is a means for testing objective theories by examining the relationship among variables (Polit and Hungler 2013; Moxham 2012). Quantitative data is structured on a subjective basis, dealing only with quantities, and not qualified by any qualitative analysis. Focus—complex and broad. There are two types of quantitative data, which is also referred to as numeric data: continuous and discrete. Quantitative and qualitative research techniques are each suitable in specific scenarios. In this way, qualitative variables speak of properties that can not be measured with numbers and the quantitative ones include those to which a numerical value can be assigned (Bonton, 2017). The trouble comes when we talk about “qualitative” measures, for example about the taste of food or a beverage. Research uses a combination of qualitative and quantitative methods because the qualitative data and description backs up the numerical data with the help of better explanations and information. A break-even analysis is a quantitative inquiry businesses make Statistical Analysis. 08 in his blood, it is said to be a quantitative test as the result comes out with numbers.


It is often compared to qualitative data that includes information expressed in a natural language such as English or Japanese. Quantitative and qualitative data can be gathered from the same data unit depending on whether the variable of interest is numerical or categorical. Examples of Categorical Variables: Qualitative data can assist human resources departments with identifying personnel problems and sources of employee morale problems. This kind of data is often revealing and useful, but it is costly and time-consuming to collect, particularly for a start-up or small business. 8 m" Definition of Quantitative Data. of 3. Foundations of quantitative research methods 1. Johnson Dissertation Committee Dr. Observe which are qualitative and which are quantitative data sets in the following examples: The cats' have orange, brown, black, or white fur (qualitative). If we say this, we've taken our quantitative data and put it into categories. It uses mathematical models, theories, and hypotheses.


If you can measure it, it can be expressed as a quantity. The new baby weighs six pounds and five ounces. While quantitative data is easier to analyze, qualitative data is also important. Presenting Findings Visually Data Collection is an important aspect of any type of research study. Discrete data have finite values, or buckets. Some examples of quantitative data are your height, your shoe size, and the length of your fingernails. This mini-tutorial will help you understand the differences between qualitative and quantitative forms of data. Census is an example of large-scale quantitative research in action: census-takers survey households and then use the data to help determine the number of Congressional districts in a state, or where to allocate federal funds. 3 and a G. It is important to note that while quantitative and qualitative data collection methods are different (cost, time, sample size, etc. It includes data that is discrete (can be counted) and data that is continuous (can be measured).


This information can then be evaluated using statistical analysis which offers researchers the opportunity to dig deeper into the data and find out the required ins Example of Quantitative Data in Research. The data . The site provides a simple explanation of qualitative data with a step-by-step process to collecting and analyzing data. AUTHOR Rebecca (Becky) Ingham‑Broomfield. Finally, the type of data analysis will also depend on the number of variables in the study. 5 Lesson Summary. Quantitative Data Quantitative data collection is a method in which data that can be numerically counted or expressed is collected. usually deal with quantitative data and eschew the collection of too much qualitative data. The temperature in a room. of 4. SCHOLARLY PAPER.


When using quantitative research, a project manager can go about this process a few different ways. CIA - The World Factbook contains data on the world's countries. But qualitative data has a different set of stories to tell. Considered hard science . An example of a quantitative data is: 'the number of 911 calls received in a month'. A coffee mug holds 10 ounces. Subjective. Qualitative Business Research. Government's open data. So: stand near that road, and count the cars that pass by in 10 minutes. Examples of quantitative questions include: Qualitative and Quantitative Data.


How To Use Quantitative And Qualitative Data For Search If you want to better understand your target audience, both qualitative and quantitative research are key. RN (NSW); CertEd; DipNurs (London); BSc (Hons); MSc (Health Psychology) Lecturer in Nursing, University of New England, Armidale, NSW, Australia. 3. What Does Quantitative Data Mean? Quantitative data is any kind of data that can be measured numerically. The square feet of an apartment. Thanks to this type of data, we know things like the distance between the sun and the moon, and why we have seasons, days, and nights. This data comes from interviews, direct observations, or open-ended survey responses. Qualitative research collects information that seeks to describe a topic more than measure it. A measurement of something physical. 2. Data collection methods for impact evaluation vary along a continuum.


The categories are "5 to 6 feet tall," "4 to 5 feet tall," and so on. If the dog wants to play, we'll need to add a "1 to 2 feet tall" category. Qualitative Research: Quantitative (numerical) research produces data that is numerical. Analyzing Quantitative Research. Examples of Qualitative Data: The quantitative figures for a grain harvest show that 100,000 tons of grain were harvested. 0 can be added together (3. Quantitative data interpretation is only part of the overall analysis for a survey. For example, if data are collected on annual income (quantitative), occupation data (qualitative) could also be gathered to get more detail on the average annual income for each type of occupation. The type of analysis you use depends on the research design, the type of variables you have, and the distribution of the data. Qualitative data cannot be expressed as a number. For example, quantitative research is useful for answering questions such as: AUSTRALIAN JOURNAL OF ADVANCED NURSING Volume 32 Number 2 32.


At present, it is mostly humans that create qualitative data. Each of the following is an example of quantitative data: The heights of players on a football team. While quantitative research is based on numerical data analysed statistically, qual- If one cannot quantify something, one will not be able to measure it, so by corollary, everything that is measurable is quantity driven – quantitative. Sometimes it can be relative, which means that the answer might vary from person to person depending on their perspective. These rely on the same questions being asked in the same way to a large number of people; For example, a G. Qualitative research on the other hand, produces categorical (non-numerical) data and is often obtained through interviews and open-ended questions. Quantitative data collection involves the use of numbers to assess information. The values of homes in a neighborhood. This information can then be evaluated using statistical analysis which offers researchers the opportunity to dig deeper into the data and look for greater meaning (see Step 6: Analyze Data ). Analysis of Quantitative Data. Quantitative research .


Some examples of qualitative research include a study on the culture of a religious school to evaluate the same as an alternative to public education, a research to increase patronage of a retail store, and more. Your shoe size. While quantitative research is based on numerical data analysed statistically, qual- The hard sciences, physics, chemistry, etc. . The following notes are guidelines for how to display your data as clearly as possible. 7 Examples of Qualitative Data. Ratio scales provide a wealth of possibilities when it comes to statistical analysis. quantitative data examples

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