Tag Archives: quantitative

Criticisms of Quantitative Research

Bryman (2016) identifies four criticisms of quantitative research: Quantitative researchers fail to distinguish people and social institutions from the world of nature Schutz (1962) is the main critique here. Schutz and other phenomenologists accuse quantitative social researchers of treating the … Continue reading

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The Four Main Concerns of Quantitative Research

Quantitative researchers generally have four main preoccupations: they want their research to be measurable, to focus on causation, to be generalisable, and to be replicable. These preoccupations reflect epistemological grounded beliefs about what constitutes acceptable knowledge, and can be contrasted … Continue reading

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Sociomaterial Perspectives on the self in digital networks

Sociomaterial perspectives hold that datafication via digital devices (both personal and public) are fundamentally  intertwined with the way we construct our identities and ‘practice selfhood’, so much so that it is more accurate to say that today we ‘live in … Continue reading

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What is a Likert Scale?

A Likert* scale is a multiple-indicator or multiple-item measure of a set of attitudes relating to a particular area. The goal of a Likert scale is to measure intensity of feelings about the area in question. A Likert scale about … Continue reading

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Concepts in Quantitative Sociological Research

Concepts are the building blocks of theory, and are the points around which social research is conducted. Concepts are closely related to the main sociological perspectives, and some of the main concepts developed by different perspectives include: Functionalism – social … Continue reading

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How will Big Data Change Social Research?

Big data will change the nature of social research –  more data will do away with the need for sampling (and eradicated the biases that emerge with sampling); big data analysis will be messier, but this will lead to more … Continue reading

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The Steps of Quantitative Research

Quantitative research is a strategy which involves the collection of numerical data, a deductive view of the relationship between theory and research, a preference for a natural science approach (and for positivism in particular), and an objectivist conception of social … Continue reading

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Longitudinal Studies

Longitudinal Studies are studies in which data is collected at specific intervals over a long period of time in order to measure changes over time. This post provides one example of a longitudinal study and explores some the strengths and … Continue reading

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Evaluating the Usefulness of Official Statistics

Official Statistics are numerical data collected by governments and their agencies. This post examines a ranges of official statistics collected by the United Kingdom government and evaluates their usefulness. The aim of this post is to demonstrate one of the main strengths of official … Continue reading

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Scientific Quantitative Methodology in Sociology

Positivists prefer to the limit themselves the study of objective ‘social facts’ and use statistical data and the comparative method to find correlations, and multivariate analysis to uncover statistically significant ‘causal’ relationships between variables and thus derive the laws of human behaviour. This … Continue reading

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