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Dillman Tailored Design Method: The Complete Guide
Introduction The survey research field is constantly evolving and any researcher interested in growth and keeping abreast with the trends in the reach field would need to have a voracious thirst for knowledge and keep abreast with useful trends in the industry. According to data from a global S&E publishing outfit Scopus, the rate of…
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Questionnaire Design: What Are Transition Questions
Introduction When it comes to designing effective questionnaires and surveys, one crucial element often overlooked is the use of transition questions. These questions act as bridges, guiding respondents smoothly from one topic to another within your survey. They play a pivotal role in maintaining survey flow and ensuring that participants can easily understand and engage…
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Intercoder Reliability: Importance, Calculation, and Enhancing Techniques
Introduction Intercoder reliability plays a crucial role in research and data analysis, as it ensures consistency and accuracy in the coding process. When multiple coders are involved in analyzing data, it becomes essential to assess the agreement between their interpretations. In this article, we will delve into the concept of intercoder reliability, explore its significance,…
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Documentary Research: Definition, Types, Applications & Examples
Introduction Over the years, social scientists have used documentary research to understand series of events that have occurred or happened in the past. Here, they explore available recovered or existing documents and material to get information and gain insight into a research question or particular topic. In this article, we would define the concept of…
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Understanding Survey Weighting: Purpose, Methods & Implications
Introduction Survey weighting is an important aspect of survey research, and it plays a significant role in achieving accurate results which represent the true perspective of respondents. In survey research, sometimes it can be difficult to obtain samples that reflect the target audience being studied, due to factors like errors in the sampling population, non-responsiveness…
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What is Deductive Research? Meaning, Stages & Examples
Introduction Deductive research is a scientific approach that is used to test a theory or hypothesis through observations and empirical evidence. This research method is commonly used in disciplines such as physics, biology, psychology, and sociology, among others. In this article, we will explore the meaning of deductive research, its components, and some examples of…
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Inferential Statistics: Definition, Types + Examples
Introduction Inferential statistics is a branch of statistics that uses sample data to make inferences or predictions about a population. It involves using statistical calculations and assumptions to analyze data and draw conclusions relevant to the larger population. Inferential statistics also allows researchers to generalize their findings beyond the sample they have studied. This is…
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Statistical Analysis Plan: What is it & How to Write One
Statistics give meaning to data collected during research and make it simple to extract actionable insights from the data. As a result, it’s important to have a guide for analyzing data, which is where a statistical analysis plan (SAP) comes in. A statistical analysis plan provides a framework for collecting data, simplifying and interpreting it,…
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Statistical Analysis Software: A Guide For Social Researchers
Introduction Social research is a complex endeavor. It takes a lot of time, energy, and resources to gather data, analyze and present it, and write up a report. Often, researchers use statistical analysis software to make their work easier because the ability to analyze data and create a report is an important skill for any…
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Chi-Square Test in Surveys: What Is It & How to Calculate
The Chi-Square test is a statistical test that is commonly used in surveys to determine whether there is a significant difference between the expected and observed frequencies in one or more categories. It is widely used in research to test the relationships between categorical variables, primarily for comparing the distribution of responses to various questions…