Positivist quantitative research

Auguste Comte Auguste Comte — first described the epistemological perspective of positivism in The Course in Positive Philosophya series of texts published between and The first three volumes of the Course dealt chiefly with the physical sciences already in existence mathematicsastronomyphysicschemistrybiologywhereas the latter two emphasized the inevitable coming of social science. Observing the circular dependence of theory and observation in science, and classifying the sciences in this way, Comte may be regarded as the first philosopher of science in the modern sense of the term. His View of Positivism therefore set out to define the empirical goals of sociological method.

Positivist quantitative research

Theory-driven dissertations Route 1: Replication-based dissertations Most quantitative dissertations at the undergraduate, master's or doctoral level involve some form of replication, whether they are duplicating existing research, making generalisations from it, or extending the research in some way.

The SAGE Encyclopedia of Qualitative Research Methods [Lisa M. Given] on caninariojana.com *FREE* shipping on qualifying offers. Qualitative research is designed to explore the human elements of a given topic, while specific qualitative methods examine how individuals see and experience the world. Qualitative approaches are typically used to explore new phenomena and to capture individuals′ . The positivist approach is popular in the social sciences, as it allows researchers to assess results without personal value judgments. Research methods that involve the use of quantitative data are popular among researchers who align to a positivist approach. The positivist approach requires the use of the scientific method. Post Positivism Approach in a quantitative Research? How am I going to highlight, that i have used the post positivism approach of philosophy in a quantitative based research related to Human.

In most cases, replication is associated with duplication. In other words, you take a piece of published research and repeat it, typically in an identical way to see if the results that you obtain are the same as the original authors.

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In some cases, you don't even redo the previous study, but simply request the original data that was collected, and reanalyse it to check that the original authors were accurate in their analysis techniques.

However, duplication is a very narrow view of replication, and is partly what has led some journal editors to shy away from accepting replication studies into their journals. The reality is that most research, whether completed by academics or dissertation students at the undergraduate, master's or doctoral level involves either generalisation or extension.

Alternately, replication can involve Positivist quantitative research existing research to take into account new research designs, methods and measurement procedures, and analysis techniques.

As a result, we call these different types of replication study: Generalisation and Route C: In reality, it doesn't matter what you call them. We simply give them these names because a they reflect three different routes that you can follow when doing a replication-based dissertation i. Extensionand b the things you need to think about when doing your dissertation differ somewhat depending on which of these routes you choose to follow.

When taking on a Route 1: Replication-based dissertation, we guide you through these three possible routes: Generalisation; and Route C: Each of these routes has different goals, requires different steps to be taken, and will be written up in its own way.

To learn whether a Route 1: Replication-based dissertation is right for you, and if so, which of these routes you want to follow, start with our introductory guide: Data-driven dissertations Sometimes the goal of quantitative research is not to build on or test theory, but to uncover the antecedents i.

Whilst you may not have heard the term before, a stylized fact is simply a fact that is surprising, undocumented, forms a pattern rather than being one-off, and has an important outcome variable, amongst other characteristics.

A classic stylized fact was the discovery of the many maladies i. Such a discovery, made during the s, was surprising when you consider that smoking was being promoted by some doctors as having positive health benefits, as well as the fact that smoking was viewed as being stylish at the time Hambrick, The challenge of discovering a potential stylized fact, as well as collecting suitable data to test that such a stylized fact exists, makes data-driven dissertations a worthy type of quantitative dissertation to pursue.

Sometimes, the focus of data-driven dissertations is entirely on discovering whether the stylized fact exists e.

Positivist quantitative research

These data-driven dissertations tend to be empirically-focused, and are often in fields where there is little theory to help ground or justify the research, but also where uncovering the stylized fact and its antecedents makes a significant contribution all by itself.

On other occasions, the focus starts with discovering the stylized fact, as well as uncovering its antecedents e. However, the goal is to go one step further and theoretically justify your findings.

This can often be achieved when the field you are interested in is more theoretically developed e. We call these different types of data-driven dissertation: Empirically-focused and Route B: Data-driven dissertations, which we will be launching shortly, we introduce you to these two routes i.

Theoretically-justifiedbefore helping you choose between them. Once you have selected the route you plan to follow, we use extensive, step-by-step guides to help you carry out, and subsequently write up your chosen route. Theory-driven dissertations We have all come across theories during our studies.

Well-known theories include social capital theory Social Sciencesmotivation theory Psychologyagency theory Business Studiesevolutionary theory Biologyquantum theory Physicsadaptation theory Sports Scienceand so forth.

Irrespective of what we call these theories, and from which subjects they come, all dissertations involves theory to some extent. However, what makes theory-driven dissertations different from other types of quantitative dissertation i.

Replication-based dissertations and Route 2: Data-driven dissertations is that they place most importance on the theoretical contribution that you make. By theoretical contribution, we mean that theory-driven dissertations aim to add to the literature through their originality and focus on testing, combining or building theory.

We emphasize the words testing, combining and building because these reflect three routes that you can adopt when carrying out a theory-driven dissertation: Combining or Route C: In reality, it doesn't matter what we call these three different routes.AUSTRALIAN JOURNAL OF ADVANCED NURSING Volume 32 Number 2 32 SCHOLARLY PAPER A nurses’ guide to Quantitative Research AUTHOR Rebecca (Becky) Ingham‑Broomfield.

1 Issues in Mixing Qualitative and Quantitative Approaches to Research Pat Bazeley Research Support P/L, Bowral, Australia [email protected] Positivism often involves the use of existing theory to develop hypotheses to be tested during the research process.

Science can be specified as a cornerstone in positivism research philosophy. Specifically, positivism relies on the following aspects of the science. Post Positivism Approach in a quantitative Research? How am I going to highlight, that i have used the post positivism approach of philosophy in a quantitative based research related to Human.

Fundamentals of quantitative research Suphat Sukamolson, Ph.D. Language Institute Chulalongkorn University Abstract The main purpose of this article is to introduce some important.

What is Interpretive Research? This page provides a very quick overview of my approach to interpretive research. Much more detail can be found in the pages that follow.

Positivism - Wikipedia