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Quantitative research methods refer to a systematic investigation of phenomena dealing with objective measurement of quantifiable data and statistically, mathematically, and numerically analyzing the numerical data that is collected through surveys, questionnaires, polls, or by manipulation of the collected statistical data through computational techniques. Quantitative research methods are focused on gathering numerical data and then generalizing the obtained data across various strata of people or using the data to interpret some individual phenomenon.
The objective of quantitative research methods is to find averages and patterns, ascertain the causal relationship between the independent and dependent variables within a population, and predict the results of the future. This method is employed by researchers to test theories about the attitudes and behaviours of people based on statistical and numerical evidence. Quantitative research designs employ either descriptive methods or experimental methods, where the descriptive method establishes only one relationship between the variables, and experimental methods demonstrate different causality.
The collection of data in quantitative research methods is the characteristic of quantitative research that sets it aside from other forms. Quantitative research methods are targeted distinctly on numbers, objective stance, and logic. Quantitative research methods basically focus on unchanging and numeric data with convergent and detailed reasoning rather than divergent reasoning. Research objectives and research time are the most significant aspects of carrying out quantitative research. Quantitative research methods include a set of methods, strategies, and assumptions that are employed to study social, psychological, and economic processes by exploring the numeric patterns.
Survey Research: It is the fundamental tool for all the various types of quantitative research methods. The major objective of this research is to describe the specifications of a bunch of people or a particular group. This type of research method is employed by both small and large business entities to explore the needs of their customers, product reviews, and merchandise. Longitudinal and cross-sectional surveys are the two major types of surveys that can be used to carry out the survey research. The cross-sectional survey method is performed on a target population at a provided time frame, and longitudinal research methods are conducted at a variable time frame.
Descriptive Research: The objective of descriptive research is to identify, describe and interpret the present status of a specified variable, including people, events, conditions, or settings. Descriptive research does not begin with a pre-determined hypothesis, but the hypothesis is developed as per the data after the data is collected. The units must be selected carefully by measuring every variable for assorting the data in a systematic manner.
Experimental Research: Experimental research, also referred to as true experimentation, is based on one or more theories. Scientific methods are employed in an experimental study to build the cause-and-effect relationship within a stratum of variables. Experimental research can be conducted using multiple approaches. The basic constituents of the design of an experimental research include a randomly selected comparison group, an independent variable also referred to as experimental variable, and a dependent variable, also referred to as test or effect variable.
Correlational research: Correlational research is employed to build a relationship between any two significant entities and further identify what impact one entity poses on the other. Two distinct groups are required for this kind of research to identify the patterns and trends in data. It is considered as a type of descriptive research method since no variable is manipulated during this research.
Causal-comparative research: Causal-comparative research deals with determining the cause-and-effect relationship among two or more variables, where one variable is dependent on the other. In this type of research, the independent variables are not manipulated; just the effect that the independent variable poses on the dependent variable is determined. This is basically a process of comparison rather than being an experiment.
In quantitative research, attitudes, opinions, behaviours, and several other variables are measured to support or reject a hypothesis. To analyse the results, numerical data needs to be first collected using close-ended questions, including multiple-choice questions or Likert scales. After obtaining the response from the audience, the responses can be easily quantified.
Sampling methods: Quantitative research can be carried out by two main sampling methods: probability sampling and non-probability sampling.
Probability Sampling: Probability sampling method is employed to gauge samples from a population. In probability sampling, a random selection process is utilized to select the samples, or each member of the population is provided with an equal opportunity to be chosen. The four major types of probability sampling include.
Non-probability sampling: In non-probability sampling, the insight and experience of the researcher are employed to form samples. As the researcher is being involved in this type of selection, so all members of the population do not stand an equal probability to be selected. The five types of non-probability sampling techniques include:
Once the sample is determined, various data collection tools are employed to obtain the data.
Surveys: Survey is defined as a research method that is employed for collecting information from a predetermined strata of samples to obtain insights and knowledge on various areas of interest. It is one of the easiest data collection methods and can cover a wide range of people depending on research objectives and research time. The four fundamental measurement scales for creating the multiple-choice question in a survey include nominal, interval, ordinal, and ratio measurement scales, without which the multiple-choice questions for a survey can be created. Close-ended questions are used in the survey for quantitative research. The survey is carried out generally through web-based questionnaires and mail questionnaires.
Polls: Polls are the methods employed to collect feedback by getting several closed-ended questions answered from a sample. Exit polls and election polls are the most common types of polls used to collect from a large sample size for quantitative research. Data in polls is collected using multiple-choice questions.
Interviews: Interviews are one of the standard methods of data collection. Structured interviews are conducted to collect data for quantitative research, where only a particular set of questions are asked by the researcher; they don’t ask anything out of the questionnaire. Telephone interviews, face-to-face interviews, and computer-assisted personal interviews are the several types of interviews.
Observations: It is a very simple and straightforward method of data collection. In this method, quantitative data is collected by the researchers through systematic observations and also by employing various techniques like counting the total number of individuals present at a particular event at a specific time. A naturalistic observation approach requiring keen observation skills and inquisitive nature is adopted for data collection in quantitative research.
SWOT Analysis: SWOT analysis stands for strengths, weaknesses, opportunities and threat analysis. This type of statistical analysis is employed by the organization to evaluate the performance of employees internally and externally for the development of effective strategies for improvement.
Conjoint Analysis: It is a type of method deployed for analyzing the market to understand the complicated purchase decisions made by individuals. Trade-offs tend to be a part of the daily functioning of the individual, reflecting their ability to choose from a complex list of service or product options.
Cross-tabulation: It is one of the preliminary statistical methods of market analysis that forms trends, patterns, and relationships between different requisites of the research.
TURF Analysis: TURF Analysis stands for Totally Unduplicated Research and Frequency Analysis is carried out in situations where we need to analyze an acknowledged communication source using the frequency of the communication. It is employed in order to understand the capabilities of a target market.
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