M.Phil in Teacher Education and ResearchSRM University
Price on request
- At 4 venues
Education for the New Millennium.
Research Methodology and Educational Statistics.
Paper of introductory nature related to the research area of the scholar
Double Evaluation either External Examiner or Internal Examiner or Both.
In the case of an instance, where there is a difference of 15% or more in the marks allotted by the two evaluators, the paper will be valued by a third evaluator and the marks awarded by him/her will be accepted.
In case one Examiner gives a pass mark and the other gives a fail mark to a candidate, third evaluator’s result will be considered.
The candidates are expected to
understand the meaning and process of research in education
Select suitable research problem
Understand the various methods of sampling
Understand the characteristics and use of different tools and techniques for data collection.
Understand the various methods and techniques in educational research
Prepares a research proposal research article
Understand and apply statistical techniques in educational/action research
Understand and apply parametric and non-Parametric list in educational/action research
interpret results obtained through different techniques of analysis of data
Draw generalization and develop research skills needed for a research in education.
Meaning , objectives, need, importance and purposes of research in education, types of research basic, applied and action methods. Stage of research development in India. Education research at abroad.
Review of related research and literature, purpose and need at different stages of research, sources and types, web-based resources- use of internet. Sources, Criteria of a good research problem and formulating and stating the problem. Delimitations of the problem. Justification of problem. Common errors in selecting and formulating a research problem.
Meaning, Characteristic and types of variables and inter-relationship among different variables.
Definition if hypothesis:- characteristics of a good hypothesis, importance, sources and types of hypothesis. Uses of hypothesis in different kinds of research. Hypothesis testing and generalization, significance level. Errors in hypothesis testing.
Sampling: concept, need , importance and selection of a sample. Methods of sampling: Stratified, cluster and multistage, non-probability sampling, quota, judgment and purposive.
Historical Research: Need, Characteristics and steps in historical research, technique used in historical research, source collection, criticism and historical report writing. Experimental Research: Basis of experiment method. Nature of variables involved control of the experiment. Major steps in experimental methods, validity of research designs. Internal & external validity of experiments. Crude Design- One group design static group comparison, Parallel group design, Factorial design. Importance of Experimental method and its limitation.
Descriptive Research: Characteristics and steps in descriptive research, surveys, correlation and causal comparative studies, case and developmental studies- Nature and use-steps and interpretation.
Organization and writing of a research report. Format, chapterisation, style and bibliography, various uses of computer in research.
Tools and Techniques for Data collection & Report writing.
Meaning, classification, criteria for selection of tools (a) Observation, Questionnaire, inventory, checklist and attitude scale, Interview, Rating scales (e) Schedule and Tests Establishment of validity and reliability. Item analysis.
Descriptive and Inferential statistic
Representation of data-tabular representation of data with regard to level of measurement. Nominal, ordinal, Interval and Ratio.
The Normal distribution-Theoretical and Empirical distributions, characteristics of Normal Probability curve. Deviation from normality and underlying causes and application of normal probability curve.
Correlation: Concept, types, coefficient of correlation- assumptions, uses and interpretation of rank order- product moment, Biserial, point- biserial, partial and Multiple correlation.
Regression and prediction: Concept of population, sample, parametric, statistics sampling distributions, sampling error and standard error of statistics, degrees of freedom, estimation of parameters-point and interval-confidence limits and confidence intervals.