Use Of Statistics In Research Research Articles

Do numbers speak for themselves? Exploring the use of quantitative data to measure policy ‘success’ in historical Indigenous higher education in the Northern Territory, Australia

ABSTRACT ‘The numbers speak for themselves’ is a phrase often linked to statistics supporting claims about the success (or otherwise) of policies. Quantitative data are usually viewed as objective and somehow exempt from the same critique that qualitative data faces. QuantCrit theory challenges these assumptions by considering how structural racism impacts on the use of statistics in research and evaluation. This paper applies QuantCrit to the Indigenous higher education policy context in the Northern Territory (NT), Australia. It aims to elicit hidden assumptions within the use of statistics to measure the success of Indigenous higher education policies in the NT. We explore the historical utility of Indigenous higher education student statistics for policy evaluation in the NT. We argue that quantitative success measures should always be considered within the context of the structural racism that shapes policy goals. We conclude by highlighting that quantitative data can be useful for Indigenous higher education policy evaluation and research, but that alternative views for measuring policy success must be considered.

Analysis of How Masters’ Curriculum Meets the Needs of Masters’ Students’ Use of Statistics in Research

Knowledge is valued as a vital asset for progress and prosperity in every sphere of human understanding. Knowledge is attributed with successful innovation in firms. Research has been identified as the main source of knowledge. In Kenya, University students have been accused of doing low quality research. Statistics is important in research, it starts at the planning stage to establish the design and sample size. Studies have pointed to wrong use of statistics as a contributing factor towards low quality research. The purpose of this study was; to determine masters’ curriculum meets the needs of masters’ students’ use of statistics in research, a case of curriculums of universities of western Kenya. Three curriculums from 3 different universities were analyzed. The study established that; general objectives and specific objectives in courses related to statistics adequately covered the requirements for statistics training; the scheduled content for the core courses covered descriptive and inferential statistics; ICT concepts are catered for in the sampled masters’ curriculums, however, the courses are too wide to be effectively learned in one semester of 4 months; The study established that lectures, class discussion and students presentations are common methods of instruction across the sampled curriculums. The study established that continuous assessment tests and end of semester sit in exam were the common form of exams administered. In addition in one case there were also term papers and practical in some courses. However the end of semester exam carried more weight of 60%. The study recommended for proper integration of ICT and statistics, increase of statistical courses and use of open book examination. Keywords: Curriculum, Statistics, Research DOI : 10.7176/JEP/10-21-17 Publication date :July 31 st 2019

An Analytical Study about Awareness of Research

Research is a significant part of professional being of all researchers and it pressures society in many ways. Though, awareness of ethics, its values and its significance may considerably differ between persons, disciplines, and nations. Different views and lack of awareness have led to contentious debates about the reimbursement of science, innovation&new technologies, as well as the societal responsibility of researchers. New researchers may be mainly affected, as they don't often have the opportunity to talk about appropriate topics. Research is significant when conducted correctly because it helps us to understand and possibly even solve existing or probable problems in the globe. This could be everything from social problems to management problems. Governments take our research all of the points in order to move toward to conclusions regarding policies and strategies. They will frequently and over again decide experts in the exacting field to go out and take out in-depth research to assist them out. Without this research and information, it would be hard to make modify the world. It would also denote that the changes wouldn't be fully considered which could result in bigger problems in the upcoming future. It is found that, In this competitive&innovative era, many researchers has been facing a number of problems while doing research, such as Process of Research, Research Methodology, use of Statistics in Research and use of Statistical Software's for data analysis.

Estatística Q.B.

Statistics is a privileged tool in building knowledge from information, since the purpose is to extract from a sample limited information conclusions to the whole population. The pervasive use of statistical software (that always provides an answer, the question being adequate or not), and the absence of statistics to confer a scientific flavour to so much bad science, has had a pernicious effect on some disbelief on statistical research. Would Lord Rutherford be alive today, it is almost certain that he would not condemn the use of statistics in research, as he did in the dawn of the 20th century. But he would indeed urge everyone to use statistics quantum satis, since to use bad data, too many data, and statistics to enquire on irrelevant questions, is a source of bad science, namely because with too many data we can establish statistical significance of irrelevant results. This is an important point that addicts of evidence based medicine should be aware of, since the meta analysis of two many data will inevitably establish senseless results.

Book Reviews

Many midwives will be familiar with the first edition of Colin Rees' book. Six years on, this second edition revises the earlier work in a number of areas. There are new chapters on qualitative research approaches and the use of statistics in research, reference material has been updated, and there is a helpful glossary.

How Significant is Statistical Significance? A critique of the use of statistics in research

Summary This paper takes a critical look at the use of statistics in research, with particular reference to statistical significance. The validity of statistical evidence is questioned and the social, cultural and political forces which influence statistical analyses are briefly discussed. It is concluded that statistical evidence is rarely objective and, although statistics can be useful as an evaluative tool in some circumstances, such analyses should not be accepted at face value.