Thursday, 26 August 2021

Research Ethics

 

Research Ethics.

The word `Ethics’ is derived from the Greek word `ethos’ which means customs, usages or habits. Ethics is also called as Moral Philosophy. The word ‘moral’ is derived from the Latin word `mores’ which also means customs, usages or habits. Thus literally, Ethics is the science of customs or collective habits of men. Any custom has a reference to the community. Customs are the ways of acting, approved by the group. The root word ‘ETHOS’ indicates that this branch of philosophy was originated in Greece and the credit goes to Aristotle.

Research Ethics is a set of guidelines that help researchers to conduct research successfully. The major principals revolve around the research process, data collection, interpretation of data, report publication, thesis, confidentiality, obfuscation and plagiarism.

General Ethical Issues:

There are three 3 main issues:

1.    Ethical issues related to the research process

2.    Ethical issues related to participant or researcher

3.     Ethical issues related to sponsoring institution

 

Privacy and confidentiality

Ø Privacy is the right of an individual to control or influence the information that can be collected and stored and by whom and to whom that information may be disclosed or shared.

Ø The researcher should safeguard the confidentiality of research related data of participants and the community.

 

Conflict of interest:

 

Ø Conflict of interest (COI) is a set of conditions where professional judgement concerning a primary interest such as participant’s welfare or the validity of research tends to be unduly influenced by a secondary interest, financial or non-financial (personal, academic or political).

Ø  Research institutions must develop and implement policies and procedures to identify, mitigate conflicts of interest and educate their staff about such conflicts & Researchers must ensure that the documents submitted to the EC include disclosure of interests that may affect the research.

 

Research misconduct and policies for handling misconduct-   

Ø Research misconduct means fabrication, falsification or plagiarism (FFP) in proposing, performing or reviewing research or in reporting research.

Ø The fabrication is making up data or results and recording or reporting them without visiting the field area.

Ø  The falsification is manipulation research materials equipment or processes or changing or omitting data or result such that the research is not accurately represented in

Ø The plagiarism is the appropriation of another person’s idea, processes result or words without giving due credit. Another type of plagiarism is self-plagiarism when copying or reuse of one’s own research but both type of plagiarism is considered to be an unacceptable practice

 

What is Plagiarism in Research?

        Plagiarism means using someone else’s words or ideas without properly crediting the original author.

        Considered as a serious academic and intellectual offense, plagiarism can result in highly negative consequences such as paper retractions and loss of author credibility and reputation. It is currently a grave problem in academic publishing and a major reason for paper retractions.

Important Keys:

        When we have to write an academic paper, we should avoid plagiarism

        We may Follow four steps to ensure our paper is free from plagiarism:

        Follow the quotation “Honesty is the best policy” in our practical life.

        Believe in positivity.

        Theoretical and Experimental work.

Four steps to ensure our paper is free from plagiarism:

        Keep track of the sources 

        Paraphrase or quote 

        Cite the original source

        Use a plagiarism checker

 

Rules by UGC:

1.    The UGC has prepared the Approved List of Journals that would be considered for the purpose of Career Advancement Scheme (CAS) and Direct Recruitment of Teachers and other academic staff as required under the UGC (Minimum Qualifications for Appointment of Teachers and other Academic Staff in Universities and Colleges) Regulation, 2016.

2.    Credibility of Research Publications is extremely important because it has a direct impact upon the individual, institutional and National image. With an aim to refine and strengthen the University Grants Commission (UGC) approved a list of journals, the UGC has issued a Public Notice dated 28th November 2018, and decided to establish a Consortium for Academic and Research Ethics (CARE).

3.    UGC provided URKUND software to libraries of many universities in the country to check plagiarism.

Questions

1.    Good ‘research ethics’ means (1) Not disclosing the holdings of shares/stocks in a company that sponsors your research. (2) Assigning a particular research problem to one Ph.D./research student only. (3) Discussing with your colleagues’ confidential data from a research paper that you are reviewing for an academic journal. (4) Submitting the same research manuscript for publishing in more than one journal.                                            

2.    From the following list of statements identify the set which has negative implications for ‘research ethics’ :  (i) A researcher critically looks at the findings of another research.  (ii) Related studies are cited without proper references.  (iii) Research findings are made the basis for policy making.  (iv) Conduct of practitioner is screened in terms of reported research evidences.  (v) A research study is replicated with a view to verify the evidences from other researches.  (vi) Both policy making and policy implementing processes are regulated in terms of preliminary studies.   Codes :  (1) (i), (ii) and (iii) (2) (ii), (iii) and (iv)  (3) (ii), (iv) and (vi) (4) (i), (iii) and (v) 

 

 

 

Methods of Research:

 

Methods of Research:

Experimental Research:  

The experimental research designs involve manipulation of certain stimuli, or treatments or environmental conditions to make an observation on how such manipulations affect the behaviour of the subject. While doing such manipulation the researcher must be aware of other factors which can affect the outcome, which he/ she either remove or control. Thus, the four basic essential characteristics of an experimental research design can be explained as:

 1. Control: Those variables which are not of interest to researcher and they can still affect the result also called the extraneous variables are either removed or the arrangements are made to minimize their effects. These arrangements can be either the random assignment of subjects to the groups, matching the subjects on extraneous variables and at times keeping groups homogenous or using some form of statistical technique.

 2. Manipulation: In an experimental research, manipulation refers to a deliberate introduction or operation of an independent variable on the subjects in experimental group. This operated independent variable is also called the treatment variable or an experimental variable.

3. Observation: After introducing an independent variable, the researcher observes its effect on dependent variable. This task is called observation in experimental research.

4. Replication: It refers to conducting sub experiments under a large experimental design. The researcher can combine a number of experimental and control groups in singe design.

Descriptive Research:

Descriptive research describes and interprets what is. It is concerned with conditions or relationships that exist, the practices that prevail, the beliefs or attitudes that are held, the processes that are going on; effects that are being felt or trends that are developments. The approach is directed towards identifying various characteristics of research problems and to create observations conducive to further research. Descriptive research describes characteristics of an existing phenomenon. Descriptive research provides a broad picture of a phenomenon you might be interested in exploring. Current employment rates, census of any country, number of working single parents are examples of descriptive research. The purpose of descriptive studies is to observe, describe & document aspects of a situation as it naturally occurs, & sometimes to serve as a starting point for hypothesis generation or theory development.

Main Features –

Ø Descriptive designs are used to observe, document describe a phenomenon occurring in its natural setting without any manipulation or control.

Ø The descriptive studies are designed to gain more information about characteristics within a particular field in the real world.

Ø Descriptive studies provide an impression of a situation as it occurs in natural settings.

Ø Descriptive studies do not involve the manipulation of variables & variables are studies as they exist in the real world.

Ø   Descriptive design may be used to develop theories, identify problems with current practices, justify current practices, make judgments, or determine other practices in similar situations.

Ø Descriptive studies, bias is prevented through operational definitions of variables, large sample size, random sampling techniques, valid & reliable research tools and formal data collection methods.

Ø Descriptive designs include identification of phenomenon of interest, identifying the variables within the phenomenon, developing operational definitions of the variables & describing the variables.

 

Historical Research

Historical research analyzes documents and artifacts and/or uses interviews with eyewitnesses to gain insight into past events. The success of historical research depends on the accuracy and completeness of the source material. The researcher must establish the authenticity of the documents used, as well as the validity of their contents. An educational researcher might want to investigate the trends in kindergarten education in a particular school district from its beginnings to the present. Also, one might investigate the methods used to teach reading in the past or study school practices and policies such as grade retention. Some of the data collected in historical research might be quantitative, such as when an investigator compares a school district’s reading achievement scores when one teaching method was used with the scores obtained when another method was in vogue.

 Historical research involves studying, understanding and interpreting past events. The purpose of historical research is to reach insights or conclusions about past persons or occurrences. Historical research entails more than simply compiling and presenting factual information; it also requires interpretation of the information. Typically, histories focuses on particular individuals, social issues and links between the old and the new. Some historical research is aimed at reinterpreting prior historical works by revising existing understandings and replacing them with new, often politically charged ones.

The main emphasis in historical research is on interpretation of documents, diaries and the like. Historical data are categorized into primary or secondary sources. Primary sources include first-hand information, such as eyewitness reposts and original documents. Secondary sources include second-hand information, such as a description of an event by someone other than an eyewitness, or a textbook author’s explanation of an event or theory. Primary sources may be harder to find but are generally more accurate and preferred by historical researchers. A major problem with much historical research is excessive reliance on secondary sources.

Researches cannot accept historical data at face value, since many diaries’ memoirs, reposts and testimonies are written to enhance the writer’s position, stature, or importance. Because of this possibility, historical data has to be examined for its authenticity and truthfulness. Such examination is done through criticism; by asking and researching to help determine truthfulness, bias, omissions and consistency in data.

Qualitative Research:

Qualitative researchers seek to understand a phenomenon by focusing on the total picture rather than breaking it down into variables. The goal is a holistic picture and depth of understanding rather than a numeric analysis of data. Qualitative research aims to explore, discover, understand or describe phenomena that have already been identified but are not well understood.

Characteristics of Qualitative Research:

Ø Qualitative research makes use of naturalistic inquiry. It aims at studying real world situations as they unfold naturally without any manipulation and predetermined constraints on outcomes.

Ø  It employs inductive or ‘bottom-up’ approach. The researcher generates new hypotheses and grounded theory from data collected during field work. It aims to discover important categories, dimensions, and interrelationships. In the process of induction, the researcher begins by exploring genuinely open questions rather than testing theoretically derived (deductive) hypotheses. The data are used to develop concepts and theories that help the researcher to understand the phenomenon.

Ø Most of the common research objectives in qualitative research aim at description, exploration, and discovery using ‘wide-angle’ and ‘deep-angle’ lens approach so as to examine the breadth and depth of phenomenon and to learn more about it.

Ø The behavior of the subjects under study is assumed to be fluid, dynamic, situational, social, contextual and personal. The behavior is studied in the natural environments not under the controlled conditions.

Ø Qualitative research makes use of qualitative data which are gathered from natural settings. The total emphasis is on understanding of the situation in all its complexity by not proving something, not advocating, not advancing personal opinions and views, but researcher includes his personal experiences and emphatic insight as part of the relevant data while taking a “neutral non judgmental stance toward whatever content may emerge”.

Ø  Purposive sampling is the dominant strategy in qualitative research. The researcher uses small samples. The researcher is the primary data collection instrument, “researcher’s personal experiences and insights are an important part of inquiry and critical to understanding the phenomenon”. The data are in the form of words, images, and categories.

Ø  Qualitative research emphasizes “unique case orientation”. It assumes each case is special and unique. Cross-case analysis follows from and depends on the quality of individual case studies.

Ø The analysis of qualitative data requires organizing raw data into logical, meaningful categories, and examining them in holistic fashion for interpretation to others.

Quantitative Research :

  Quantitative research is a type of educational research in which the researcher decides what to study; asks specific, narrow questions; collects quantifiable data from participants; analyzes these numbers using statistics; and conducts the inquiry in an unbiased, objective manner. Quantitative research is an inquiry into an identified problem, based on testing a theory, measured with numbers, and analyzed using statistical techniques. The goal of quantitative methods is to determine whether the predictive generalizations of a theory hold true.

Characteristics of Quantitative Research:

Ø Quantitative research uses deductive or ‘top-down’ approach. The researcher formulates and uses hypotheses and theory with data.

Ø It is based on logical-positive paradigm which utilizes experimental methods and quantitative measures to test specific hypothetical generalizations with narrow angle lens.

Ø  Quantitative research uses scientific method with ‘hard science’ trappings. The researchers treat their subjects of study as having an existence independent of themselves and without any intrinsic meaning. - Behavior of the subjects under study is assumed to be regular and predictable.

Ø  Most of the common research objectives in quantitative approach aim at description, explanation and prediction of social phenomenon. The emphasis is not on the deep understanding of the phenomenon or content.

Ø  Quantitative research attempts to study behavior under controlled conditions. The nature of observation is objective, i.e., different observers agree on what is observed.

Ø Closed ended structured questionnaires, tests, attitudes scales, rating scales, etc. are used to collect quantitative data based on precise measurement.

Ø The dominant sampling strategy in quantitative research is probability sampling, which depends on the selection of a random and representative sample from a larger population. The purpose of probability sampling is subsequent generalization of the research findings to the population from which the sample was selected. Generally, large samples are used in quantitative survey studies.

Ø  Quantitative research is deductive in that it tests theories which have already been proposed. It aims at analysis of representative and validated quantitative data, through the use of sophisticated statistical methods and software packages.

Ø The findings are based on identified statistical relationships and generalizable findings. Using the principles of probability, quantitative research Make predictions representative of a large population.

Ø The form of final report is statistical with details about the use of various types of statistics, e.g., correlations, comparison of means, percentages, etc. and the, Statistical significance.

 Finally, we can say Quantitative research involves successive phases of hypothesis formulation, data collection, analysis and interpretation. Using deductive approach, it seeks to establish facts, make predictions, and test hypotheses that have already been stated.

 

Application of ICT in research.

 

Application of ICT in research.

ICTs in higher education is not only used in research and academic works but also be used for developing online course material; delivering study content and sharing content with remotely located students; communication between learners, teachers and the outside world; creation and delivery of presentation and lectures; academic research; administrative support, enrolment, test, evaluation and many more.

The role & application of ICT in research: 

Communication – How ICT has changed the way the researcher communicates with other parties. Information sharing – How quickly & easily information can be shared across the globe

Simulation – Virtual Lab & robotic experiments

Evaluation– Various tools and technology for feedback and evaluation

Application of ICT in research, Tools & Services for Research:

Google/Bing/Yahoo and many other search engines help us to find useful and relevant contents. This also helps us to explore the millions of thesis and already published articles and keeps us up to date with the latest happenings in our area of interest.

Online Tools:

Ø Google Scholar – Provides a way to broadly search for scholarly literature across disciplines and sources.

Ø Microsoft Academic Search – Find information about academic papers, authors, conferences, journals, and organizations from multiple sources.

Ø Science scope – Innovation in the exploration of papers and authors.

Ø ResearchGate – ResearchGate is the professional network for scientists and researchers. Over 15 million members from all over the world use it to share, discover, and discuss research.

Ø Biohunter – Portal with literature search, data statistics, reading, sorting, storing, field expert identification and journal finder.

Ø edu -is a platform for academics to share research papers. The company’s mission is to accelerate the world’s research.

Ø SSRN – Multi-disciplinary online repository of scholarly research and related materials in social sciences.

Ø DeepDyve- provides simple and affordable access to millions of articles across thousands of peer-reviewed journals. Content from the world’s leading publishers including Reed Elsevier, Springer, Wiley-Blackwell, and more. Wiki Journal Club – Open, user-reviewed summaries of the top studies in medical research.

Free Digital Library:

Ø The National Digital library of India is a project under the Ministry of Human Resource Development, India. The objective is to integrate several national and international digital libraries in one single web-portal. The NDL provides free access to many books in English and the Indian languages.

Ø The Ministry of Human Resource Development (MHRD), Government of India has launched a National Repository of Open Educational Resources (NROER). The development of it has been a combined effort of the Department of School Education and Literacy, Ministry of Human Resource Development, Government of India, the Central Institute of Educational Technology, National Council of Educational Research and Training and Meta studio, which is the platform that hosts the Repository.

Ø Internet Archive is a non-profit library of millions of free books, movies, software, music, websites, and more. The Internet Archive offers over 12,000,000 freely downloadable books and texts. There is also a collection of 550,000 modern eBooks that may be borrowed by anyone.

Ø getfreeebooks.com   is a free eBooks site where you can download free books free. All the eBooks within the site are legal downloadable free eBooks.

 

Simulation/Lab and project management:

 

Virtual Labs project is an initiative of the Ministry of Human Resource Development (MHRD), Government of India under the aegis of National Mission on Education through Information and Communication Technology (NMEICT). This project is a consortium activity of twelve participating institutes and IIT Delhi is coordinating institute. It is a paradigm shift in ICT-based education. For the first time, such an initiative has been taken-up in remote‐experimentation. 

Lab Suit– Inventory Management, orders Management, materials Trade-In, Price Comparison

Writing & publishing research papers:

Various online available writing tools are the needs of researchers. Tools are required to store and manage references, collaborations across labs and continents, collaborative writing tools & track of the modifications done by others to the manuscript.

Citation Styles – Find and edit CSL citation styles.

Papers – helps you collect and curate the research material that you’re passionate about.

Zotero – helps you collect, organize, cite, and share your research sources

 Draft – Version control and collaboration to improve your writing.

Typewrite – A simple, real-time collaborative writing environment.

Science Open – Freely accessible research network to share and evaluate scientific information.

ICT in Research Sponsored by Govt. of India:

Ø India has been ranked 121st among 157 countries in terms of progress in the realm of information and communication technology (ICT) in a newly-released report of the International Telecommunication Union (ITU), which makes an annual assessment based on a wide range of parameters and data

Ø National Mission on Education through ICT (NMEICT) is a major initiative of the Govt. of India in this direction intending to leverage the potential of ICT in providing high quality personalized and interactive content, free of cost, to all the learners.

Ø The National Mission on Education through Information and Communication Technology (ICT) has, under its aegis, created Virtual Labs, Open Source and Access Tools, Virtual Conference Tools, Talk to Teacher programs, a Non-Invasive Blood Glucometer and also for simulated lab experiments, a Di. Electric frequency shifts the application development of resonator for low-cost oscillators.

Ø Institutions like IITs, IIMs, NITs, Central Board of Secondary Education (CBSE), Kendriya Vidyalaya Sangathan (KVS), Navodaya Vidyalaya Samiti (NVS), National Institute of Open Schooling (NIOS), Indira Gandhi National Open University (IGNOU), All India Council for Technical Education (AICTE) and National Council of Educational Research and Training (NCERT) have been actively participating.

  

Questions.

1.    Which are not Online Tools?

(1)   Google Scholar (2) Research Gate (3) edu (4) Internet Archive

 

2.    What is full form of CARE?  ( 1) Consortium for Academic and Research Ethics (2) Composition for Academic and Research Ethics (3) Consortium for Academic and Research Education  (4) Consortium for Access  and Research Ethics

 

VARIABLES

 

VARIABLES

Variable is concerned with variation in presence of something in person, object, animal, place or situation or in any natural phenomena.

Types of Variables:

Independent Variable:

The variable, value of which affects the value of another variable is known as independent variable. Such variable is not affected by the change in the value of another variable but affects the value of another variable. Generally, effect of such variable on another variable is measured or studied during research studies. Independent variable is also known as absolute variable.

Dependent Variable:

The variable, value of which may change due to change in the value of another variable is called dependent variable.

 Examples: In comparative study of Mathematical Reasoning Ability (MRA) of students in the context of their Intelligence, MRA will be dependent variable and Intelligence will be considered as an independent variable because in this study, the impact of Intelligence on MRA is to be checked. Researcher may divide the students according to level of their intelligence. Levels of intelligence may be high, low and medium or very high, high, medium, low and very low. Levels will be decided according to the need and objectives of study.

Moderator variables: We know that independent variable affects the value of dependent variable and there has been cause and effect relationship between these two. The variable that affects the cause-and-effect relationship between these two variables is called moderator variable. It means the effect of independent variable on dependent variable may be different in the presence of moderator variable.

Controlled Variable: If the effect of such variables that can affect the cause and effect relationship of dependent and independent variable, is eliminated, it is called controlled variable. In other words, if the effect of moderator variable is controlled, it is known as controlled variable.


Variables of Study

                Variable                          Type of Variable            Level of Variable

        Area                                    Independent             Urban / Rural /Semi Urban

  Socio –Economic Status               Moderator             Higher /Middle / Lower

             Gender                                   Controlled                     Male

             Value Awareness                   Dependent

 

Intervening Variable: Any moderator variable, that cannot be measured or observed clearly or ignored is called intervening variable. Such variables may affect the cause-and-effect relationship of dependent and independent variables but either cannot be measured clearly or is to be ignored during research.

 

Examples:

·       School Environment

·        Social environment

·       Culture of family

·        Value Awareness of Parents

·        Extra Reading

·        Peer group of Student

·        Emotional Maturity of Students

·       Parenting style of parents

·        Age of student

Extraneous variables / Confounding: Variables are not the independent variable, but could affect the results of the experiment. Hence, all the other variables that could affect the dependent variable to change must be controlled. These other variables are called extraneous or confounding variables.

 

Types of Measurement Scale

 

Types of Measurement Scale

There are 4 Measurement Scales: Nominal, Ordinal, Interval and Ratio scale with Nominal and ordinal having least mathematical properties and they are qualitative (Categorical) type data whereas Interval & Ratio having most mathematical properties and they are quantitative (Numerical) type data.

Nominal Scale:

Nominal Scale is the lowest measurement level. It is assigned to items that is divided into categories without having any order or structure.

Example: classification of section of any class, players, communities etc. Suppose We have 5 sections may divide in section A- E. The alphabet gives us the identity of the section assigned. The only mathematical operation we can perform with nominal data is to count. Another example from research activities is a YES/NO scale, which is nominal. It has no order and there is no distance between YES and NO.

Calculation of Chi square, mode frequency distribution is the best measure.

Characteristics of Nominal Scale

Ø A nominal scale variable is classified into two or more categories. In this measurement mechanism, the answer should fall into either of the classes.

Ø It is qualitative. The numbers are used here to identify the objects.

 

Ordinal Scale:

Ordinal Scale is the 2nd measurement scale. Ordinal Scale is ranking of responses, for instance Ranking Cyclist at the end of the race at the position I, II and III. Not these are rank and the time distance between I and II may well not be the same as between II and III, so the distance between points is not the same but there is an order present, when responses have an order but the distance between the response is not necessarily same, the items are regarded or put into the Ordinal Scale. Therefore, an ordinal scale lets the researcher interpret gross order and not the relative positional distances.

Calculation of Median, Percentile , Rank difference correlation is the best measure.

Characteristics of the Ordinal Scale.

  • The ordinal scale shows the relative ranking of the variables
  • It identifies and describes the magnitude of a variable
  • Along with the information provided by the nominal scale, ordinal scales give the rankings of those variables

Interval Scale:

The interval scale is the 2nd largest level of measurement scale A normal survey rating scale is an interval scale for instance when asked to rate satisfaction with a training on a 3 point scales, 5 point scales, 7-point scales, etc 

Example:  5 Points scale like Strongly Agree, Agree, Neutral, Disagree and Strongly Disagree, an interval scale is being used. It is an interval scale because it is assumed to have equal distance between each of the scale elements i.e. the Magnitude between Strongly Agree and Agree is assumed to be the same as Agree and Strongly Agree. This means that we can interpret differences in the distance along the scale. We contrast this to an ordinal scale where we can only talk about differences in order, not differences in the degree of order i-e the distance between responses.

The equal distance between scale points helps in knowing how many units greater than, or less than, one case is from another. The meaning of the distance between 25 and 35 is the same as the distance between 65 and 75.

Calculation of Mean, Median, S.D, Product moment correlation, ANOVA & ANCOVA  is the best measure

 

Characteristics of Interval Scale:

Ø The interval scale is quantitative as it can quantify the difference between the values

Ø It allows calculating the mean and median of the variables

Ø The interval scale is the preferred scale in Statistics as it helps to assign any numerical values to arbitrary assessment such as feelings, calendar types, etc.

 

Ratio Scale:

A Ratio Scale is at the top level of Measurement which is quantitative . It allows researchers to compare the differences or intervals. The ratio scale has a unique feature. It possesses the character of the origin or zero points. Having zero length or zero money means that there is no length and no money but zero temperature is not an absolute zero, as it certainly has its effect. Ratio scales of measurement have all of the properties of the abstract number system. Calculation of Mean, Median, Mode. All physical measurement like Meter, Litre, Kilogram etc.


Characteristics of Ratio Scale:

  • Ratio scale has a feature of absolute zero
  • It doesn’t have negative numbers, because of its zero-point feature
  • It affords unique opportunities for statistical analysis. The variables can be orderly added, subtracted, multiplied, divided. Mean, median, and mode can be calculated using the ratio scale.
  • Ratio scale has unique and useful properties. One such feature is that it allows unit conversions like kilogram – calories, gram – calories, etc.