Data Analysis Techniques
Expert-defined terms from the Professional Certificate in Social Media Research Methods (United Kingdom) course at London School of Business and Administration. Free to read, free to share, paired with a professional course.
A/B Testing refers to a randomized experiment where two or more versions… #
Related terms include split testing, multivariate testing, and user experience testing. A/B testing is commonly used in social media research to compare the effectiveness of different ads, posts, or campaigns. For example, a company might use A/B testing to compare the click-through rates of two different versions of an ad, one with a visual image and one with a text-based image.
Abstract Concept refers to a theoretical idea or notion that is not direc… #
Related terms include construct, conceptual framework, and hypothetical scenario. Abstract concepts are often used in social media research to understand complex phenomena, such as influence, engagement, or community building. For instance, a researcher might study the abstract concept of social capital to understand how it relates to online interactions and offline behaviors.
Accuracy refers to the degree of correctness or precision of a measuremen… #
Related terms include precision, reliability, and validity. Accuracy is crucial in data analysis, as it affects the quality of the findings and the confidence in the results. For example, a researcher might use statistical methods to evaluate the accuracy of a predictive model, such as a regression analysis or a machine learning algorithm.
Action Research refers to a participatory approach to research that invol… #
Related terms include applied research, evaluation research, and action learning. Action research is often used in social media research to develop interventions or solutions to real-world problems. For instance, a researcher might use action research to develop a social media campaign to promote public health awareness, in collaboration with community leaders and health professionals.
Algorithm refers to a set of instructions or rules used to solve a proble… #
Related terms include machine learning, artificial intelligence, and data mining. Algorithms are widely used in social media research to analyze large datasets, such as text analysis, image recognition, or network analysis. For example, a researcher might use an algorithm to classify social media posts as positive, negative, or neutral in terms of their sentiment.
Analytics refers to the process of analyzing data to extract insights and… #
Related terms include data science, business intelligence, and statistical analysis. Analytics is a key component of social media research, as it helps researchers to understand trends, patterns, and correlations in online data. For instance, a researcher might use analytics to track the engagement metrics of a social media campaign, such as likes, shares, and comments.
ANOVA refers to analysis of variance, a statistical technique used… #
Related terms include t-test, regression analysis, and non-parametric tests. ANOVA is commonly used in social media research to compare the effects of different treatments or conditions on a dependent variable. For example, a researcher might use ANOVA to compare the average number of likes on social media posts between different groups or conditions.
API refers to application programming interface, a set of rules an… #
Related terms include data exchange, web services, and integration. APIs are widely used in social media research to collect data from social media platforms, such as Twitter or Facebook. For instance, a researcher might use an API to collect tweets related to a specific hashtag or topic.
Artificial Intelligence refers to the development of computer systems tha… #
Related terms include machine learning, deep learning, and natural language processing. Artificial intelligence is increasingly used in social media research to analyze large datasets, such as image recognition, text analysis, or sentiment analysis. For example, a researcher might use artificial intelligence to detect fake news or misinformation on social media.
Association Rule Learning refers to a technique used to discover patte… #
Related terms include data mining, machine learning, and predictive modeling. Association rule learning is commonly used in social media research to identify correlations between different variables or attributes. For instance, a researcher might use association rule learning to identify patterns in user behavior on social media, such as co-occurrence of hashtags or mentions.
Big Data refers to large and complex datasets that are difficult t… #
Related terms include data science, analytics, and machine learning. Big data is increasingly used in social media research to analyze large datasets, such as social media posts, comments, or likes. For example, a researcher might use big data to analyze the trends and patterns in social media conversations related to a specific topic or event.
Case Study refers to an in #
depth analysis of a single case or example. Related terms include qualitative research, ethnography, and phenomenology. Case studies are commonly used in social media research to gain a deeper understanding of a specific phenomenon or issue. For instance, a researcher might conduct a case study of a successful social media campaign to identify the key factors that contributed to its success.
Cluster Analysis refers to a technique used to group similar objects</… #
Related terms include data mining, machine learning, and pattern recognition. Cluster analysis is commonly used in social media research to identify segments or groups of users with similar characteristics or behaviors. For example, a researcher might use cluster analysis to identify clusters of users who share similar interests or demographics.
Content Analysis refers to a method used to analyze and interpret the … #
Related terms include qualitative research, thematic analysis, and discourse analysis. Content analysis is widely used in social media research to analyze the content of social media posts, such as text, images, or videos. For instance, a researcher might use content analysis to analyze the tone or sentiment of social media posts related to a specific topic or event.
Correlation refers to a statistical relationship between two or more v… #
Related terms include causality, regression analysis, and association rule learning. Correlation is commonly used in social media research to identify relationships between different variables or attributes. For example, a researcher might use correlation to analyze the relationship between the number of likes and shares on social media posts.
Data Mining refers to the process of discovering patterns and r… #
Related terms include machine learning, predictive modeling, and association rule learning. Data mining is widely used in social media research to analyze large datasets, such as social media posts, comments, or likes. For instance, a researcher might use data mining to identify patterns in user behavior on social media, such as co-occurrence of hashtags or mentions.
Data Visualization refers to the process of presenting data in a <… #
Related terms include information visualization, graphic design, and communication. Data visualization is commonly used in social media research to present complex data in a clear and intuitive way. For example, a researcher might use data visualization to present the trends and patterns in social media conversations related to a specific topic or event.
Deep Learning refers to a type of machine learning that uses ne… #
Related terms include artificial intelligence, natural language processing, and computer vision. Deep learning is increasingly used in social media research to analyze large datasets, such as image recognition, text analysis, or sentiment analysis. For instance, a researcher might use deep learning to detect fake news or misinformation on social media.
Descriptive Statistics refers to the process of summarizing and describin… #
Related terms include inferential statistics, regression analysis, and hypothesis testing. Descriptive statistics is commonly used in social media research to understand the characteristics of a dataset, such as the mean, median, or standard deviation. For example, a researcher might use descriptive statistics to summarize the demographics of a social media sample, such as the age, gender, or location of users.
Discourse Analysis refers to a method used to analyze and interpret the <… #
Related terms include content analysis, thematic analysis, and conversation analysis. Discourse analysis is widely used in social media research to analyze the language and communication patterns of social media users. For instance, a researcher might use discourse analysis to analyze the tone or sentiment of social media posts related to a specific topic or event.
Ethnography refers to a method used to study cultures or commun… #
Related terms include qualitative research, case study, and participant observation. Ethnography is commonly used in social media research to understand the social and cultural contexts of online interactions. For example, a researcher might use ethnography to study the online communities of social media users, such as forums or groups.
Experimental Design refers to a method used to test causal relatio… #
Related terms include quasi-experiment, survey research, and field experiment. Experimental design is commonly used in social media research to test the effects of different treatments or interventions on a dependent variable. For instance, a researcher might use experimental design to test the effectiveness of a social media campaign on behavior change or attitude shift.
Factor Analysis refers to a statistical technique used to identify pat… #
Related terms include principal component analysis, cluster analysis, and dimensionality reduction. Factor analysis is commonly used in social media research to identify the underlying factors or dimensions of a dataset, such as the attitudes or beliefs of social media users. For example, a researcher might use factor analysis to identify the key factors that influence the adoption of a new social media platform.
Generalizability refers to the extent to which the findings of a study ca… #
Related terms include external validity, representativeness, and transferability. Generalizability is an important consideration in social media research, as it affects the applicability of the findings to real-world settings. For instance, a researcher might use generalizability to evaluate the extent to which the findings of a study on social media usage can be applied to a broader population or context.
Hypothesis Testing refers to a statistical technique used to test a hy… #
Related terms include hypothesis, alternative hypothesis, and p-value. Hypothesis testing is commonly used in social media research to test the significance of a relationship or difference between groups. For example, a researcher might use hypothesis testing to test the effectiveness of a social media campaign on behavior change or attitude shift.
Inferential Statistics refers to the process of making inferences … #
Related terms include descriptive statistics, hypothesis testing, and confidence interval. Inferential statistics is commonly used in social media research to make inferences about the population of social media users, such as the prevalence of a behavior or attitude. For instance, a researcher might use inferential statistics to estimate the percentage of social media users who engage in a specific behavior or activity.
Information Visualization refers to the process of presenting informat… #
Related terms include data visualization, graphic design, and communication. Information visualization is commonly used in social media research to present complex data in a clear and intuitive way. For example, a researcher might use information visualization to present the trends and patterns in social media conversations related to a specific topic or event.
Machine Learning refers to a type of artificial intelligence that… #
Related terms include deep learning, natural language processing, and computer vision. Machine learning is increasingly used in social media research to analyze large datasets, such as image recognition, text analysis, or sentiment analysis. For instance, a researcher might use machine learning to detect fake news or misinformation on social media.
Mixed Methods refers to a research approach that combines qualitative<… #
Related terms include triangulation, integration, and validation. Mixed methods is commonly used in social media research to provide a more comprehensive understanding of a phenomenon or issue. For example, a researcher might use mixed methods to study the impact of social media on mental health, combining surveys with interviews or focus groups.
Natural Language Processing refers to a type of artificial intelli… #
Related terms include machine learning, text analysis, and sentiment analysis. Natural language processing is widely used in social media research to analyze large datasets of text data, such as tweets or Facebook posts. For instance, a researcher might use natural language processing to detect sentiment or emotion in social media posts.
Network Analysis refers to a method used to study the structure an… #
Related terms include social network analysis, graph theory, and community detection. Network analysis is commonly used in social media research to study the patterns of interactions and relationships between social media users. For example, a researcher might use network analysis to study the structure of a social media community, such as the centrality of influencers or the density of connections.
Neural Networks refer to a type of machine learning model that is… #
Related terms include deep learning, artificial intelligence, and computer vision. Neural networks are widely used in social media research to analyze large datasets, such as image recognition, text analysis, or sentiment analysis. For instance, a researcher might use neural networks to detect fake news or misinformation on social media.
Online Survey refers to a method used to collect data from a sampl… #
Related terms include web survey, email survey, and panel study. Online surveys are commonly used in social media research to collect data on attitudes, beliefs, or behaviors related to social media use. For example, a researcher might use an online survey to collect data on the frequency and duration of social media use, or the types of content that users engage with.
Participant Observation refers to a method used to study a phenomenon<… #
Related terms include ethnography, field research, and immersive research. Participant observation is commonly used in social media research to study the social and cultural contexts of online interactions. For instance, a researcher might use participant observation to study the online communities of social media users, such as forums or groups.
Predictive Modeling refers to a statistical technique used to predict the… #
Related terms include regression analysis, machine learning, and data mining. Predictive modeling is widely used in social media research to predict outcomes or behaviors related to social media use, such as the likelihood of engagement or the probability of conversion. For example, a researcher might use predictive modeling to predict the effectiveness of a social media campaign on behavior change or attitude shift.
Qualitative Research refers to a research approach that emphasizes the <i… #
Related terms include quantitative research, mixed methods, and case study. Qualitative research is commonly used in social media research to study the social and cultural contexts of online interactions. For instance, a researcher might use qualitative research to study the meaning and interpretation of social media posts, such as the tone or sentiment of text or image content.
Quantitative Research refers to a research approach that emphasizes the <… #
Related terms include qualitative research, mixed methods, and statistical analysis. Quantitative research is widely used in social media research to study the trends and patterns in social media data, such as the frequency and duration of social media use. For example, a researcher might use quantitative research to study the correlation between social media use and mental health outcomes.
Regression Analysis refers to a statistical technique used to model the <… #
Related terms include predictive modeling, machine learning, and data mining. Regression analysis is commonly used in social media research to study the relationship between social media use and outcomes or behaviors, such as the effectiveness of a social media campaign on behavior change or attitude shift.
Reliability refers to the consistency or dependability of a mea… #
Related terms include validity, accuracy, and precision. Reliability is an important consideration in social media research, as it affects the quality of the data and the confidence in the findings. For example, a researcher might use reliability to evaluate the consistency of a social media survey or the dependability of a social media metric.
Sentiment Analysis refers to a technique used to analyze and interpret th… #
Related terms include natural language processing, text analysis, and machine learning. Sentiment analysis is widely used in social media research to analyze the emotional tone or sentiment of social media posts, such as the positive, negative, or neutral sentiment of text or image content.
Social Network Analysis refers to a method used to study the structure… #
Related terms include network analysis, graph theory, and community detection. Social network analysis is commonly used in social media research to study the patterns of interactions and relationships between social media users. For example, a researcher might use social network analysis to study the structure of a social media community, such as the centrality of influencers or the density of connections.
Statistical Analysis refers to the process of using statistical te… #
Related terms include data analysis, quantitative research, and inferential statistics. Statistical analysis is widely used in social media research to study the trends and patterns in social media data, such as the correlation between social media use and outcomes or behaviors. For instance, a researcher might use statistical analysis to study the effectiveness of a social media campaign on behavior change or attitude shift.
Survey Research refers to a method used to collect data from a sam… #
Related terms include online survey, mail survey, and panel study. Survey research is commonly used in social media research to collect data on attitudes, beliefs, or behaviors related to social media use. For example, a researcher might use survey research to collect data on the frequency and duration of social media use, or the types of content that users engage with.
Text Analysis refers to a technique used to analyze and interpret the … #
Related terms include natural language processing, sentiment analysis, and machine learning. Text analysis is widely used in social media research to analyze the content of social media posts, such as the tone or sentiment of text or image content. For instance, a researcher might use text analysis to analyze the emotional tone or sentiment of social media posts related to a specific topic or event.
Thematic Analysis refers to a method used to identify and analyze the … #
Related terms include content analysis, discourse analysis, and qualitative research. Thematic analysis is commonly used in social media research to identify the themes or patterns in social media posts, such as the topics or issues that are most frequently discussed. For example, a researcher might use thematic analysis to identify the key themes or patterns in social media conversations related to a specific topic or event.
Validity refers to the extent to which a measure or instrument<… #
Related terms include reliability, accuracy, and precision. Validity is an important consideration in social media research, as it affects the quality of the data and the confidence in the findings. For example, a researcher might use validity to evaluate the accuracy of a social media metric or the precision of a social media survey.
Web Scraping refers to a technique used to extract data from we… #
Related terms include data mining, web crawling, and API extraction. Web scraping is commonly used in social media research to collect data from social media platforms, such as Twitter or Facebook. For instance, a researcher might use web scraping to collect data on social media posts, such as the text, images, or videos shared by users.