The research report is considered as a major component of the research work, because through this report the research problem, the research design, the analysis and findings are brought to the knowledge of the world. The research report converts the research work into a public asset from its earlier state of private asset. The research report shows the readers the progress in knowledge made in the specific area or discipline. The report by bringing to light the new frontiers of knowledge enhances the society’s intellectual well-being. The report by highlighting the design and methodology, runs as a fore-runner for future researchers in this or related area. The analyses and interpretations may give a boost to knowledge. The findings and suggestions take the readers into enlightenment from ignorance. Every research must endeavor to achieve this. Research report is a record of the whole of every bit of the research work. This Continue reading
Research Basics
Referencing a Research Report
References must be explicitly given in the research report. Bibliography is one type of referencing a research report and this has been already dealt. Other type of referencing is the foot notes. Referencing using Footnotes Footnotes are meant to give complete bibliographical references and to provide the reader with information to enable him consult sources independently. These may be placed at the foot of a page or at the end of every chapter. When footnotes are given at the foot of the page, they are to be separated from the text by a fifteen space solid line drawn from the left margin and one double space below the last line of the text. If given at the end of a chapter, a centered heading ‘FOOTNOTES’ is necessary. Reference to footnotes is made by the use of superscripts i.e., numerals raised by one-half space. Footnotes should be numbered consecutively through a Continue reading
Measures of Central Tendency and Variability
Central tendency is a statistical measure that identifies a single score as representative of an entire distribution of scores. The goal of central tendency is to find the single score that is most typical or most representative of the entire distribution. Unfortunately, there is no single, standard procedure for determining central tendency. The problem is that there is no single measure that will always produce a central, representative value in every situation. There are three main measures of central tendency: the arithmetical mean, the median and the mode. The mean of a set of scores (abbreviated M) is the most common and useful measure of central tendency. The mean is the sum of the scores divided by the total number of scores. The mean is commonly known as the arithmetic average. The mean can only be used for variables at the interval or ratio levels of measurement. The mean Continue reading
Pre-Testing Research Data Collection Instruments
The tool or instrument of data collection namely the schedule or the questionnaire should be pre-tested before adopted for data collection on the study. Pre-testing simply means, testing the validity, reliability, practicability and sensitivity of the tool before it is used for actual data collection. The only way to gain assurance that questions are unambiguous is to try them on a selected small group of prospective respondents. Process of Pre-testing Pre-testing can be done in parts. Different sub-parts in the main part of the questionnaire/schedule can be differently pre-tested. So a series of small pre-test on different units of the tool can be done. A full scale pre-test of the whole tool can be done if needed finally or in lieu of the series of pre-tests is small bits. Pre-testing must be done on a sample that is representatives of the population. May be 10 to 12 respondents for pre-testing Continue reading
Methods of Data Processing in Research
Data processing is concerned with editing, coding, classifying, tabulating and charting and diagramming research data. The essence of data processing in research is data reduction. Data reduction involves winnowing out the irrelevant from the relevant data and establishing order from chaos and giving shape to a mass of data. Data processing in research consists of five important steps. They are: 1. Editing of Data Editing is the first step in data processing. Editing is the process of examining the data collected in questionnaires/schedules to detect errors and omissions and to see that they are corrected and the schedules are ready for tabulation. When the whole data collection is over a final and a thorough check up is made. Mildred B. Parten in his book points out that the editor is responsible for seeing that the data are; Accurate as possible, Consistent with other facts secured, Uniformly entered, As complete as Continue reading