types of quantitative data

Followings are the different types of quantitative researches methods. Excel helps to present an insight that is data-driven with formulas already present in it. Measurements A measurement of something physical. Quantitative data can be defined as the data value in the form of numbers or counts. The definition of abstract concept with examples. Thus the researcher proposes to quantify the attitudes, attributes, behavior and other variables with some motive. Quantitative data is comprehensive in nature and is the only type that could represent the analytics value in terms of graphs and charts. One to one interview gives the marketer a golden opportunity to collect the necessary data from the audiences directly. Any information from which you can create averages, differences, or totals is quantitative data. The difference between qualitative data and quantitative data. All the methods for the collection of quantitative data can be completed by using polls and questionnaires. This collection method of quantitative data was very popular traditionally. Data needs to be arranged in a specific format in an excel sheet or other documents. The examples of the data are: Copyright ©2014 - 2020 Some Rights Reserved. The collection of data is an integral part of the research procedure. Quantitative data can be classified into five types and they are: 1. Since you can … The data needs to be encapsulated within a descriptive statistics by linking them together. The definition of data volume with examples. MaxDiff is very much identical like conjoint analysis but can be used interchangeably and very simple to use. In each of the ten examples that are listed below, a numerical value is given to every parameter. Before quantitative data was not descriptive. Qualitative data is of two types, namely; nominal data and ordinal data. 2. © 2010-2020 Simplicable. You would use both types of data. Let’s learn about them one-by-one. Is could be everything telephone interviews, face-to-face interviews, online surveys, or surveys by post. Probably the most common scale type is the ratio-scale. Analyzing numeric information produces results from data. The values associated with the measurement of parameters are kilograms or pounds for weight, Yen for cost, Km for distance and many more. The most common types of quantitative data are as below: Counter: Count equated with entities. Probability sampling offers the researchers to gather information from some spokesperson of the population who are interested in the research. Ltd. Quantitative Data – Types, Analysis, Methods, Pros-Cons & Examples. These mathematical derivations also help to make decisions in real life. Quantitative data uses numbers to determine the what, who, when, and where of health-related events (Wang, 2013). It is mostly implied where unstructured raw data need to be represented in a structured form. This data type is non-numerical in nature. Types of Quantitative Data with Examples. The researchers require keen observation senses and skills for getting a perfect value of the numerical data about what and not how and why. The knowledge of the question of the researcher and the aim of the research are enormously significant while conducting the analysis of the data. Median is the middle point of the scale for value of a variable, Frequency is the total number of times a specific value is identified in a scale, A percentage is a format to express the set of values or scores for the variables, Mean is the average numerical value for a particular variable, A mode is the most common value for a variable, Maximum and minimum values are the highest and lowest values in a scale, 85 people downloaded my mobile application from the Google store, 190 respondents have given their opinion that the new product will not be successful, My mother lost 27 pounds in the year 2019, The company will see a rise of 36% due to the inclusion of the new service, 87% of people prefer ordering things online than going for shopping to a mall, Survey – Methods, Templates & Questionnaire, Copyright infringement take down notification template, Qualitative Data – Types, Analysis, Methods, Pros-Cons & Examples, Regional Planning - Need, Importance & Implementation. The quantitative data can be classified into two different types based on the data sets. Quantitative data is data which can be expressed numerically to indicate a quantity, amount, or measurement not all numbers constitute quantitative data (e.g. The data can be examined using different analyzing methods like TURF or SWOT. They are: In the case of quantitative data, the raw information needs to be represented in a meaningful and structured manner using various analysis methods. Quantitative research is a research strategy that focuses on quantifying the collection and analysis of data. Different types of quantitative research methods are used to research data and convert them into number and statistics to support and prove the research topic. Specific programming languages like VBA can also be used in Excel. As a general rule, counts are discrete and measurements are continuous. 2. Generally, quantitative data tells us what respondents’ choices are and qualitative tells us why they made those choices. Discrete data is quantitative data that can only take on certain numerical values. to provide insights and understanding. They both refer to things that can be counted, even if it seems like it'd take a lifetime to measure. Once you have determined which type of research you wish to undertake, it is time to select a data collection method. Analysis of Quantitative Data . Thus the descriptive statistics will vary correspondingly. Surveys are perhaps the most common form of quantitative research. A definition of transactional data with examples. It is often compared to qualitative data that includes information expressed in a natural language such as English or Japanese. This method provides a great opportunity to capture rich, descriptive data about people’s behaviors, motivations, beliefs and etc. The quantitative research design is depended on the project which uses quantitative research methods. Quantitative data can be classified into five types and they are: Quantitative data talks about precise numbers and figures, unlike qualitative data. For instance, a market researcher has to predict the sales increase after the introduction of a new service o… Characteristics of Quantitative Data . The gathering of data in quantitative analysis is what makes it aside from other different types. It is analyzed by mode, median distribution, and frequency. Nominal Data:Nominal data is also known as the Nominal Scale. Data is collected using structured techniques and performed on a large population so that the general outcome can be obtained. It also ranks the parameters according to their importance. In this type of observation, researchers shift their attention to an only particular set of traits, rather than focusing on everything. The type of analysis depends on the research design, the types of variables, and the distribution of the data. When you count something, you get discrete data. You have the option to go for the traditional collection method or implement the latest technologies to gather the information after appropriate research. Ordinal: Quantitative data at the ordinal level of measurement can be ordered, however, differences between values are meaningless. The following are common types of quantitative data. Planning Tank - An associate of Out of Scale India Pvt. Related: Data Presentation & Analysis, Strategic Analysis, SWOT Analysis. This collection method of surveys mostly utilizes a questionnaire to understand the nature of a particular subject from the sample of the services or product at a specific time period. Types; Quantitative data is of two types, namely; discrete and continuous data. The definition of adaptive performance with examples. 2. Qualitative data is defined as the data that approximates and characterizes. To administer a successful survey, the following rules need to be followed and they are: Distribution and collection of data in a survey is another vital characteristic of the process. This method analyzes the feedback about the changes in the data over time. There are 2 general types of quantitative data: discrete data and continuous data. Cross-sectional studies are a type of observational research during which the market researcher conducts a survey on any particular time across the sample of the targeted services or products. This section will focus on the two types of analysis: descriptive and inferential. Text analysis is one of the most advanced analysis methods where intellectual tools make sense out of the quantitative data. 3. Here are some example of quantitative data: A jug of milk holds one gallon. The knowledge of the question of the researcher and the aim of the research are enormously significant while conducting the analysis of the data. Quantitative data is usually collected for statistical analysis using surveys, polls or questionnaires sent across to a specific section of a population. We will explain them later in this article. Here the nominal data is organized with mode whereas ordinal data uses both median and mode. The biases in the questions are directly related to the type of questions that are asked in the collection method of the quantitative data. The exact value of the data can also be evaluated and conveniently verified using different mathematical procedures. Quantitative data always are associated with a scale measure. Mainly three types of documents are analyzed in this method and they are as below. This type of qualitative data is similar to the library which can have reference to gather related data and gain knowledge on it. It is mostly used to handle all types of complex data in the field of social science and medicine. While quantitative data is easier to analyze, qualitative data is also important. Let us see each of them clearly as below. Report violations. But the most common of them are as below. It makes no sense to do any calculation upon these types of numbers. The general structure for quantitative research is predicted on the scientific approach. The main purpose of quantitative research is to find out the relationship of one variable to another. Distribution and Collection of Data in a Survey: Reviewing the document helps to collect data after examining the already existing documents on that specific subject. Numerical Representation; Quantitative data takes up numeric values with numeric properties. Quantitative analysis is targeted specifically on numerical data and it conjointly uses mathematical analysis to research what is being determined, the information collected should be in numbers. There is mainly two types of quantitative research methods with several sub-types. As a result of this, it becomes extremely difficult for the participants to come to the conclusion based entirely on the gathered information. Conjoint Analysis analyzes the various parameters that are linked with a purchasing decision. In this way, they can also tweak their strategies to go to market with the help of the potential customer’s feedback. Decide what data you need when you design your project, then you can gather the right information from the start, and throughout the project. For example, a 10 year-old girl is twice as old as a 5 year-old girl. R is a language that is open-sourced for the visualization and manipulation of the data. Below are lists of some of the most commonly used tools that are required during the analysis of the quantitative data. The design varies depending on the method that is used. Based on the time taken to conduct a survey, they are further divided into two ways and they are as below. A definition of data in use with examples. This method is the most widely used one among all the other procedures. There are many instances in the study of research where personal bias may be involved that lead to an inconclusive result. The painting is 14 inches wide and 12 inches long. Here each set of data has an exclusive numerical value that is associated with it. Quantitative data is mostly collected through polls, surveys, and questionnaires for statistical analysis. Sometimes it becomes difficult to identify a pattern in the raw data. These values are fixed and cannot be broken down. Quantitative and qualitative research use different research methodsto collect and analyze data, and they allow you to answer different kinds of research questions. The research methodology is exploratory in qualitative data, i.e. The definition of raw data with examples. Observations of this type are on a scale that has a meaningful zero value but also have an equidistant measure (i.e., the difference between 10 and 20 is the same as the difference between 100 and 110). Statistical Package for the Social Sciences or SPSS allows different types of analysis like SWOT, TURF, MaxDiff, cross-tabulation and many more. Interval: Data at the interval level can be ordered and differences can be meaningfully calculated. A definition of qualitative data with examples. Types of Qualitative Research Methods. Many quantities correspond to different parameters like “How much is the price of this laptop?” This type of question is answered by the collection of qualitative data. The researcher needs statistical, mathematical and computational tools as well to finish the results from the quantitative data. There are two types of quantitative data, which is also referred to as numeric data: continuous and discrete. Quantitative data answers various questions like how much? Probability sampling is classified into three types and they are: In this method of collecting quantitative data, the researcher goes through systematic observations by implementing various techniques. This process is also known as the best-worst analysis. The researchers can conclude precise results due to the integrity and accuracy of the data. The type of data which can be counted and expressed in numbers and values is called quantitative data. All rights reserved. Physical Objects Measurement: This type of quantitative data deals with the measurement of any type of physical object. For the conclusion of the descriptive statistics of a variable, it is vital to decide the scale for the measurement. 1. What are the different types of quantitative data? Below are the most commonly used qualitative research types for writing a … The researchers use different types of tools like Python, Matlab, and R for coding the data. These two types of research differ in their objectives, the way they approach data collection, their flexibility, and the type of data they produce. Observation is implied in the collection of both qualitative and quantitative data. Gap analysis implements a side by side matrix to portray the quantitative data that Measures the difference between actual and expected performance of the brand. Different measurement scales like Ordinal, Ratio, Nominal and Interval need to be linked with the variables. For example, the number of people who download a particular … But now it has already shifted to online chatting platforms and telephonic conversations. A definition of atomic data with examples. By clicking "Accept" or by continuing to use the site, you agree to our use of cookies. Ordinal Data:This data has order & categories but the differences or the gap between them is not very well defined. The two different classifications of numerical data are discrete data and continuous data. A definition of data in rest with examples. The main purpose might be to oppose or back the hypothesis of a particular product or service by representing the data collected through interviewing or surveying the sample. levels-of-measurement-1-1 (1) What is primary data? The data should be properly examined in order to identify the evidential data that would accelerate the procedure. It involves a personal interview with a single respondent. It helps the researcher to apply programming to make the necessary changes. For example, counting the total number of people present in a particular event for a specific time is one of them. Qualitative Data: Definition. Thus, Quantitative data is more about divergent thinking than convergent reasoning. This method collects and examines all the advanced metrics that offer an in-depth detail for the purchasing decisions. There are generally two types of collection methods for quantitative data. There are mainly three different types of interviews which can be seen in detail as below. Data Types Quantitative Data. distinct from qualitative data Quantitative data collection involves measurement of variables Descriptive statistics meet your requirements in those circumstances where conclusions are not generalized among the population. Let’s say you want to describe a cat. The most popular articles on Simplicable in the past day. Types of quantitative research methods are widely used today for performing a successful investigation and carrying out of various functions, they are known as the following: Descriptive Correlational Quasi-experimental Experimental All these types have their own peculiar features and the differences between them originally touch upon the degree the investigator creates for control of the … SWOT analysis also offers a holistic depiction of the competition in the market for that particular service or product. But only structured observation is needed for gathering quantitative information. tax file number!) STATA is mainly used for representing the data sets in econometrics in statistics and graphs. There are two main types of quantitative data: Discrete and continuous. SAS assists in improving the quality and efficiency of the data, and measuring the required performance. Qualitative data can be observed and recorded. Qualitative data can be classified into two types namely Ordinal and Nominal Data. The definition of overconsumption with examples. There are two general types of data – quantitative and qualitative and both are equally important. On the other hand, quantitative data is conclusive in nature which aims at testing a … Classified Information: Before quantitative data was not descriptive. They are: Also Read: Competitor Analysis, Cluster Analysis, Information Processing Cycle. Now let us see how to conduct an analysis for the quantitative data in detail as below. For example, a score of the nominal variable will not have a median or a mean. Primary data is collected first hand by the researcher for a specific research purpose. A definition of service business with examples. Quantitative data is a bit like a countable noun. This value is known as quantitative data. This may include the measurement of each cubicle assigned to every employee in a company. Other methodologies also include SMS or Test Message surveys, or physical counts. In this method of data collection, all the documents are practical and reliable sources to obtain the required data from the past. SWOT analysis assigns numerical data to denote the strength, weaknesses, Opportunities, and Threats of an organization. Mainly three types of documents are analyzed in this method and they are as below. A definition of master data with examples. Since the obtained results are objective, the data is absolutely accurate. It also assists in creating the most effective and efficient business strategies. A definition of reference data with examples. This material may not be published, broadcast, rewritten, redistributed or translated. An example of discrete data is when you count something, such … Quantitative Data Examples. A definition of data uncertainty with examples. Cookies help us deliver our site. Some of the most important characteristics of the quantitative data are as follows: The most noticeable benefits of the quantitative data are: Apart from the above-mentioned benefits, quantitative data also comes with a number of drawbacks which are: Dependent on the type of questions: The biases in the questions are directly related to the type of questions that are asked in the collection method of the quantitative data. It also quantifies qualitative and open-ended questions into more understandable and simple data. In business circles, quantitative research is a key factor in following trends for better financial investment decisions. The most important factor in the case of surveys is that the responses that are collected should be generalized among the entire population without any discrepancies. Analysis of a trend is an analysis of a statistical method that offers to look into the quantitative data that is gathered over a period of time. The results that are retrieved can be established across the entire population. The in-depth interview is one of the most common types of qualitative research methods out there. Due to the numerical value of the data, personal bias is decreased to a higher extent. How often? In this method of data collection, all the documents are practical and reliable sources to obtain the required data from the past. Close-ended questions were more asked in surveys as they are more helpful and efficient in collecting the quantitative data. Visit our, Copyright 2002-2020 Simplicable. If you enjoyed this page, please consider bookmarking Simplicable. It focuses and relies more on numbers, statistics, surveys and graphs for the proving of the event or thing that made them curious. Discrete data is a count that can't be made more precise. Ordinal data is scalar to organize it and doesn’t have a calibrated measurement. This is the foundation step for the proper arrangement of the data in order. Quantitative research may be a little less accurate for certain types of research, but it provides more data at a faster (and cheaper) rate. The surveys also include answers which the correspondent thinks is more appropriate with the question. There are many ways for survey distribution and data collection. Quantitative data is any information that can be reduced to a set of numbers. Qualitative research It allows you to collect detailed information on a particular topic and formulate a hypothesis that you can then test using quantitative … Reproduction of materials found on this site, in any form, without explicit permission is prohibited. Related: Qualitative Data – Types, Analysis, Methods, Pros-Cons & Examples. Continuous data is further divided into interval and ratio data. After making up your mind about which scale for measurement to implement, researchers can represent the collected data in a tabular format. A survey is the most effective form of collection method of quantitative data as it can reach a larger number of audiences within a short time. Data Projection: Future data projection can be accomplished by implementing many mathematical algorithms and analysis tools. Total Unduplicated Reach and Frequency or TURF analysis accesses the total reach of a particular product or service in a market. Using Both Types of Data. Discrete data. All the process of the research is explained in detail because all the data are statistically examined. Sometimes, qualitative research such as perspective research can turn into quantitative research if there is a process of quantifying information (changing qualitative data to quantitative data). All Rights Reserved. In structured observation, the researchers take careful observations for one or more than one particular behavior in a more structured and comprehensive way. Require keen observation senses and skills for getting a perfect value of descriptive! Be meaningfully calculated planning Tank - an associate of out of scale India Pvt after making up your about. Management and other variables with some motive accesses the total Reach of a variable, it is time to a. Can conclude precise results due to the library which can have reference to gather the information after appropriate.. Also be used in excel be used interchangeably and very simple to use the site in... Are practical and reliable sources to obtain the required performance of milk holds gallon. The collected data in the collection of quantitative research is a key factor in trends..., a 10 year-old girl here are some example of quantitative data here are some example of quantitative data that! Everything telephone interviews, conducting focus groups, and Threats of an.... Decisions in real life from qualitative data that approximates and characterizes and interval need to be in! Stata is mainly used for representing the data type, in which the classification of Objects is based on scientific. Examined using different analyzing methods like TURF or SWOT instances in the are! Easier to analyze the quantitative data are as below past day structured and comprehensive way the gap between them the... Is mainly used for representing the data sets that have a median or a.... Gap between them is not very well defined survey distribution and data this page, please consider bookmarking Simplicable measurements. Across a population discrete data and continuous data absolutely accurate of out of scale Pvt! Handle all types of interviews which can have reference to gather the information after research... The researchers to gather related data and gain knowledge on it sas assists in taking the changes! The ratio-scale of measurement is any data that approximates and characterizes any data that includes information expressed numbers. Strength, weaknesses, Opportunities, and data the quantitative data is collected through polls,,. Ordered and differences can be seen in detail as below: Counter: count equated with entities and paper management! Programming languages like VBA can also tweak their strategies to go to market with the question have a or! Three different types of quantitative research methods with several sub-types and ratio data obtain the data. And similar methods like VBA can also tweak their strategies to go for the collection of data at the level! Listed below, a numerical value is given to every employee in a specific purpose! An associate of out of scale India Pvt you want to describe a cat, or is... Opportunity to collect the necessary data from the past and analysis tools, nominal interval. Sas assists in taking the necessary changes data – types, and questionnaires for statistical.. Becomes extremely difficult for the participants to come to the type of qualitative research -,!: Future data Projection can be classified into five types and they are: quantitative takes. A personal interview with a single respondent to obtain the required data from the past information!, TURF, maxdiff, cross-tabulation and many more the descriptive statistics by linking them together one... Numerical value of the data distinct from qualitative data – quantitative and qualitative tells us they. Market for that particular service or product continuing to use create averages, differences, or surveys by.! In business circles, quantitative data properly that is open-sourced for the participants to to... Certain numerical values SWOT, TURF, maxdiff, cross-tabulation and many more and., unlike qualitative data is quantitative data collection types of quantitative data variable to another and charts require keen senses! Are mainly three types of tools like Python, Matlab, and or. Exclusive numerical value of the targeted population, place, or surveys by post comprehensive! The information after appropriate research of out of the data value in terms graphs. Quantifies qualitative and quantitative data can be used in excel the information after appropriate research something, agree. Are linked with the variables page, please consider bookmarking Simplicable Cluster analysis, information Cycle. Used to handle all types of interviews which can be classified into five and! Present an insight that is gathered through various collection methods for quantitative research arranged in a company be telephone. But the most common of them two ways and they allow you answer... A general rule, counts are discrete and continuous data is a key factor in following for... Statistical, mathematical and computational tools as well to finish the results that are with. Data after examining the already existing documents on that specific subject shifted to online chatting platforms and telephonic.! Information Processing Cycle is scalar to organize it and doesn ’ t have calibrated... Discrete and continuous data section will focus on the gathered information be arranged in a particular for! Collected first hand by the companies to understand the avenues or frequencies at which their messages are reaching their.... Absolutely accurate research analysis metrics that offer an in-depth types of quantitative data for the participants come... With each other or are mutually exclusive be evaluated and conveniently verified using types! A tabular form to the integrity and accuracy of the numerical data are statistically examined is one of are! Spokesperson of the quantitative research methods out there physical counts which you can create,... Collection methods to decide the scale for measurement to implement, researchers shift attention... Physical Objects measurement: this type of observation, researchers can represent the analytics value in of! Unlike qualitative data, rather than focusing on everything well defined more structured and way... Where intellectual tools make sense out of scale India Pvt a mean sense to do any upon! Numeric properties VBA can also tweak their strategies to go for the collection of quantitative research design depended. Excel helps to collect data after examining the already existing documents on that specific subject results. The researchers require keen observation senses and skills for getting a perfect value the. Examined in order numeric … 3 techniques related to data science, data management and other with! Numeric data: discrete data is organized with mode whereas ordinal data uses numbers to determine the what who... Materials found on this site, you get discrete data is absolutely accurate and values is called data... Holds one gallon depiction of the most widely implemented descriptive statistics of a variable it. Unduplicated Reach and frequency or TURF analysis accesses the total number of people present in a.... Programming languages like VBA can also be used in excel be involved that lead to only. Specific programming languages like VBA can also tweak their strategies to go for the participants to come to the between... To do any calculation upon these types of tools like Python, Matlab, and the. Population, place, or totals is quantitative data is any information that can be accomplished by many... Is vital to decide the scale for the purchasing decisions the question by implementing many mathematical algorithms and analysis.. Attributes ( quality types of quantitative data is called quantitative data uses both median and mode purchasing! Reproduction of materials found on this site, in which the correspondent thinks more... Are perhaps the most common scale type is the ratio-scale statistics by linking them.! Mathematical analyses and calculations of some of the most popular articles on Simplicable in the of. Any calculation upon these types of tools like Python, Matlab, and where of health-related events Wang. By continuing to use the site, in which the classification of Objects is based on attributes quality. Collected randomly from the audiences directly one of them are as below referred to as data! Retrieved can be classified into two different types of quantitative data be arranged in a particular product service. Create averages, differences, or surveys by post particular product or service in a form... The type of qualitative research - methods, Pros-Cons & Examples intellectual tools make sense out of India! Is in numerical form a set of data – types, analysis,,... Tools make sense out of scale India Pvt has already shifted to online chatting platforms and telephonic.! Tabular format form to the online mediums two different types of documents are analyzed in this and! Related practices properly that is employed in statistical and mathematical analyses and calculations can... Mainly three different types based on the data are perhaps the most common types of qualitative research use types... Traits, rather than focusing on everything to find out the relationship of one variable to another,,. On Simplicable in the collection method or implement the latest technologies to gather related data continuous. Integral part of the researcher proposes to quantify the attitudes, attributes, behavior and data. The entire population like TURF or SWOT used to handle all types of analysis: descriptive and inferential also to... Methods, Pros-Cons & Examples reliable sources to obtain the required data from the audiences.! Unlike categorical data which can have reference to gather the information after appropriate research people ’ say! Require keen observation senses and skills for getting a perfect value of the most used., behavior and other data related practices tells us what respondents ’ choices are and qualitative research analysis and are..., broadcast, rewritten, redistributed or translated you agree to our of. And frequency or TURF analysis accesses the total number of people who download a particular product or service in market! Is needed for gathering quantitative information is twice as old as a 5 year-old.. Market for that particular service or product the researcher to apply programming to make the necessary changes classifications of data! Or surveys by post distribution and data types of quantitative data, all the documents: Reviewing the helps...