Research data critique

Introduction The main purpose of this page is to publish my concerns with Goleman and his writing on emotional intelligence. For example, I want to let people know about the differences between his claims and those of the academic theorists and researchers.

Research data critique

Researchers who are attempting to answer a research question employ the research process. Though presented in a liner format, in practice the process of research can be less straightforward.

This said, researchers attempt to follow the process and use it to present their research findings in research reports and journal articles. Identifying research problems Research problems need to be researchable and can be generated from practice, but must be grounded in the existing literature.

They may be local, national or international problems, that need addressing in order to develop the existing evidence base. Searching the existing literature base A thorough search of the literature using data bases, internet, text and expert sources should support the need to research the problem.

This should be broad and in depth, showing a comprehensive search of the problem area.

Research data critique

Critical appraisal of the literature A critical appraisal framework should be employed to review the literature in a systematic way. Theoretical base The research may employ a theoretical base to examining the problem, especially seen in masters level research and in many research studies. In the health and social care field this might come from the social sciences, psychology or anthropology.

Sampling strategies Sampling is the method for selecting people, events or objects for study in research. Non-probability and probability sampling strategies enable the researcher to target data collection techniques. These may need to be of a specific size sometimes determined by a power calculation or composition.

More than one technique can be employed, the commonest are questionnaires and interviews. Approaches to qualitative and quantitative data analysis This component is more fully explored in the site, but can involve qualitative and quantitative approaches, dependent on the type of data collected.

Implications for practice and further research are drawn, which acknowledge the limitations of the research. Dissemination of research The research and results can be presented through written reports, articles, papers and conferences, both in print and electronic forms.

Research data critique

An introduction for health and social care practitioners. An introduction to methods. Allen and Unwin Burns R Introduction to research methods. Methods, appraisal and utilization. J B Lippincott Co.

Eds Handbook of qualitative research.An experiment is a procedure carried out to support, refute, or validate a timberdesignmag.comments provide insight into cause-and-effect by demonstrating what outcome occurs when a particular factor is manipulated. Experiments vary greatly in goal and scale, but always rely on repeatable procedure and logical analysis of the results.

Let’s briefly examine some basic pointers on how to perform a literature review. If you’ve managed to get your hands on peer-reviewed articles, then you may wonder why it is necessary for you to perform your own article critique. Second, a focus on practices (in the plural) avoids the mistaken impression that there is one distinctive approach common to all science—a single “scientific method”—or that uncertainty is .

[ Contents Vol 16] [ IIER Home] Research dilemmas: Paradigms, methods and methodology Noella Mackenzie and Sally Knipe Charles Sturt University In this article the authors discuss issues faced by early career researchers, including the dichotomy, which many research textbooks and journal articles create and perpetuate between qualitative and quantitative research methodology despite.

Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.

Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, while being used in different business, science, .

A DEFINITIVE CRITIQUE OF EXPERIENTIAL LEARNING THEORY Miriam W. Webb The research was begun in at the request of Dr. David Kolb, co-originator of Experiential Learning Theory (ELT), the Experiential Learning Cycle Model, its Learning Style Inventory, and adaptive competence instruments and measures.

IIER Mackenzie and Knipe - research dilemmas: Paradigms, methods and methodology