Mb0034 Research Methedology Assignment 1

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Research Methodology MB0034 ASSIGNMENT-1 MB 0034 RESEARCH METHODOLOGY

1. Explain the different types of research. Types of Research Although any typology of research is inevitably arbitrary. Research may be classified crudely according to its major intent or the methods . According to the intent research may be classified as: Pure Research It is undertaken for the sake of knowledge without any Intention to apply it in practice, e.g., Einstein's theory of relativity, Newton's contributions, Gatileo's contribution, etc. It is also known as basic or fundamental research. It is undertaken out of intellectual curiosity or inquisitiveness. It is not necessarily problem-oriented. It aims at extension of knowledge. It may lead to either discovery of a new theory or refinement of an existing theory. It lays foundation for applied research. It offers solutions to marry practical p r oblems It helps to find the critical factors in a practical problem. It develops many alternative solutions and thus enables us to choose the best solution Applied Research it is carried on to And solution to d real-life problem requiring an action or policy decision. It is thus problem-oriented and action-directed, It seeks an immediate and practical result, e.g., marketing research carried on for developing a news market or for studying the post-purchase experience of customers. Though the immediate purpose of an applied research is to find solutions to a practical problem, it may incidentally contribute to the development of theoretical knowledge by loading to the discovery of new facts or testing of theory or a conceptual clarity. It can put theory to the test. t may aid in conceptual clarification !t may integrate previously existing theories Exploratory Research It is also known as formulative research. It is preliminary study of an unfamiliar problem about which the researcher has little or no knowledge. It is ill-structured and much less focused on pre-determined objectives. It usually takes the form of a pilot study. The purpose of this research may be to generate new ideas, or to increase the researcher's familiarity with the problem or to make a precise formulation of the problem or to gather information for clarifying concepts or to determine whether it is feasible to attempt the study. Katz conceptualizes two levels of exploratory studies. "At the first level is the discovery of the significant variable in the situations; at the second, the discovery of relationships between variables." Descriptive Study It is a fact-finding investigation with adequate interpretation. It is the simplest type of research. It is more specific than an exploratory research. It aims at identifying the various characteristics of a

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Research Methodology MB0034

community or institution or problem under study and also aims at a classification of the range of elements comprising the subject matter of study. It contributes to the development of a young science and useful in verifying focal concepts through empirical observation. It can highlight important methodological aspects of data collection and interpretation. The information obtained may be useful for prediction about areas of social life outside the boundaries of the research. They are valuable in providing facts needed for planning social action program. Diagnostic Study It is similar to descriptive study but with a different focus. It is directed towards discovering what is happening, why it is happening and what can be done about. It aims at identifying the causes of a problem and the possible solutions for it. It may also be concerned with discovering and testing whether certain variables are associated. This type of research requires prior knowledge of the problem, its thorough formulation, clear-cut definition of the given population, adequate methods for collecting accurate information, precise measurement of variables, statistical analysis and test of significance. Evaluation Studies It is a type of applied research. It is made for assessing the effectiveness of social or economic programmes implemented or for assessing the impact of developmental projects on the development of the project area. It is thus directed to assess or appraise the quality and quantity of an activity and its performance, and to specify its attributes and conditions required for its success. It is concerned with causal relationships and is more actively guided by hypothesis. It is concerned also with change over time. Action Research It is a type of evaluation study. It is a concurrent evaluation study of an action programme launched for solving a problem for improving an exiting situation. It includes six major steps: diagnosis, sharing of diagnostic information, planning, developing change programme, initiation of organizational change, implementation of participation and communication process, and post experimental evaluation. According to the methods of study, research may be classified as: 1.Experimental Research: It is designed to asses the effects of particular variables on a phenomenon by keeping the other variables constant or controlled. It aims at determining whether and in what manner variables are related to each other. 2. Analytical Study: It is a system of procedures and techniques of analysis applied to quantitative data. It may consist of a system of mathematical models or statistical techniques applicable to numerical data. Hence it is also known as the Statistical Method. It aims at testing hypothesis and specifying and interpreting relationships. 3.Historical Research: It is a study of past records and other information sources with a view to reconstructing the origin and development of an institution or a movement or a system and discovering the trends in the past. It is descriptive in nature. It is a difficult task; it must often depend upon inference and logical analysis or recorded data and indirect evidences rather than upon direct observation.

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4. Survey: It is a fact-finding study. It is a method of research involving collection of data directly from a population or a sample thereof at particular time. Its purpose is to provide information, explain phenomena, to make comparisons and concerned with cause and effect relationships can be useful for making predications

2. Discuss the criteria of good research problem. Horton and Hunt have given following characteristics of scientific research: 1. Verifiable evidence: That is factual observations which other observers can see and check. 2. Accuracy: That is describing what really exists. It means truth or correctness of a statement or describing things exactly as they are and avoiding jumping to unwarranted conclusions either by exaggeration or fantasizing. 3. Precision: That is making it as exact as necessary, or giving exact number or measurement. This avoids colourful literature and vague meanings. 4. Systematization: That is attempting to find all the relevant data, or collecting data in a systematic and organized way so that the conclusions drawn are reliable. Data based on casual recollections are generally incomplete and give unreliable judgments and conclusions. 5. Objectivity: That is free being from all biases and vested interests. It means observation is unaffected by the observer's values, beliefs and preferences to the extent possible and he is able to see and accept facts as they are, not as he might wish them to be. 6.

Recording: That is jotting down complete details as quickly as possible. Since human memory is

fallible, all data collected are recorded. 7. Controlling conditions: That is controlling all variables except one and then attempting to examine what happens when that variable is varied. This is the basic technique in all scientific experimentation - allowing one variable to vary while holding all other variables constant.

3. Describe the procedure used to test the hypothesis To test a hypothesis means to tell (on the basis of the data researcher has collected) whether or not the hypothesis seems to be valid. In hypothesis testing the main question is: whether the null hypothesis or not to accept the null hypothesis? Procedure for hypothesis testing refers to all those steps that we undertake for making a choice between the two actions i.e., rejection and acceptance of a null hypothesis. The various steps involved in hypothesis testing are stated below: Making a Formal Statement The step consists in making a formal statement of the null hypothesis (Ho) and also of the alternative hypothesis (Ha). This means that hypothesis should clearly state, considering the nature of the research problem. For instance, Mr. Mohan of the Civil Engineering Department wants to test the load bearing capacity of an old bridge which must be more than 10 tons, in that case he can state his hypothesis as under

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Null hypothesis Ho: N =10 tons Alternative hypothesis Ha: N >10 tons Take another example. The average score in an aptitude test administered at the national level is 80. To evaluate a state's education system, the average score of 100 of the state's students selected on the random basis was 75. The state wants to know if there is a significance difference between the local scores and the national scores. In such a situation the hypothesis may be state as under:

,

Null hypothesis Ho: N =80 Alternative hypothesis Ha: p 0 80 The formulation of hypothesis is an important step which must be accomplished with due care in accordance with the object and nature of the problem under consideration. It also indicates whether we should use a tailed test or a two tailed test. If Ha is of the type greater than, we use alone tailed test, but when Ha is of the type "whether greater or smaller" then w. use a two-tailed test. Selecting a Significant Level The hypothesis is tested on a pre-determined level of significance and such the same should have specified. Generally, in practice, either 5% level or 1 % level is adopted for the purpose. The factors that affect the level of significance are: •The magnitude of the difference between sample ; •The size of the sample; •The variability of measurements within samples; •Whether the hypothesis is directional or non - directional (A directional hypothesis is one which predicts the direction of the difference between, say, means). In brief, the level of significance must be adequate in the context of the purpose and nature of enquiry. Deciding the Distribution to Use After deciding the level of significance, the next step in hypothesis testing is to determine the appropriate sampling distribution. The choice generally remains between distribution and the t distribution. The rules for selecting the correct distribution are similar to those which we have stated earlier in the context of estimation. Selecting A Random Sample & Computing An Appropriate Value Another step is to select a random sample(S) and compute an appropriate value from the sample data concerning the test statistic utilizing the relevant distribution. In other words, draw a sample to furnish empirical data. Calculation of the Probability One has then to calculate the probability that the sample result would diverge as widely as it has from expectations, if the null hypothesis were in fact true. Comparing the Probability Yet another step consists in comparing the probability thus calculated with the specified value for a, the significance level. If the calculated probability is equal to smaller than a value in case of one tailed test (and a/2 in case of two-tailed test), then reject the null hypothesis (i.e. accept the alternative hypothesis), but if the probability is greater then accept the null hypothesis. In case we reject Ho we run a risk of (at most level of significance) committing an error of type I, but if we accept Ho, then we run some risk of committing error type II.

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4. Write a note on experimental design Professor Fisher has enumerated three principles of experimental designs: 1. The principle of replication: The experiment should be reaped more than once. Thus, each treatment is applied in many experimental units instead of one. By doing so, the statistical accuracy of the experiments is increased. For example, suppose we are to examine the effect of two varieties of rice. For this purpose we may divide the field into two parts and grow one variety in one part and the other variety in the other part. We can compare the yield of the two parts and draw conclusion on that basis. But if we are to apply the principle of replication to this experiment, then we first divide the field into several parts, grow one variety in half of these parts and the other variety in the remaining parts. We can collect the data yield of the two varieties and draw conclusion by comparing the same. The result so obtained will be more reliable in comparison to the conclusion we draw without applying the principle of replication. The entire experiment can even be repeated several times for better results. Consequently replication does not present any difficulty, but computationally it does. However, it should be remembered that replication is introduced in order to increase the precision of a study; that is to say, to increase the accuracy with which the main effects and interactions can be estimated. 2. The principle of randomization: It provides protection, when we conduct an experiment, against the effect of extraneous factors by randomization. In other words, this principle indicates that we should design or plan the `experiment in such a way that the variations caused by extraneous factors can all be combined under the general heading of "chance". For instance if we grow one variety of rice say in the first half of the parts of a field and the other variety is grown in the other half, then it is just possible that the soil fertility may be different in the first half in comparison to the other half. If this is so, our results would not be realistic. In such a situation, we may assign the variety of rice to be grown in different parts of the field on the basis of some random sampling technique i.e., we may apply randomization principle and protect ourselves against the effects of extraneous factors. As such, through the application of the principle of randomization, we can have a better estimate of the experimental error. 3. Principle of local control: It is another important principle of experimental designs. Under it the extraneous factors, the known source of variabiitity, is made to vary deliberately over as wide a range as necessary and this needs to be done in such a way that the variability it causes can be measured and hence eliminated from the experimental error. This means that we should plan the experiment in a manner that we can perform a two-way analysis of variance, in which the total variability of the data is divided into three components attributed to treatments, the extraneous factor and experimental error. In other words, according to the principle of local control, we first divide the field into several homogeneous parts, known as blocks, and then each such block is divided into parts equal to the number of treatments. Then the treatments are randomly assigned to these parts of a block. In general, blocks are the levels at which we hold an extraneous factors fixed, so that we can measure its contribution to the variability of the data by means of a two-way analysis of variance. In brief, through the principle of local control we can eliminate the variability due to extraneous factors from the experimental error.

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5. Elaborate the ways of making a case study effective. John Dollard has proposed seven criteria for evaluating such adequacy as follows: i) The subject must be viewed as a specimen in a cultural series. That is, the case drawn out from its total context for the purposes of study must be considered a member of the particular cultural group or community. The scrutiny of the life histories of persons must be done with a view to identify thee community values, standards and their shared way of life. ii) The organic motto of action must be socially relevant. That is, the action of the individual cases must be viewed as a series of reactions to social stimuli or situation. In other words, the social meaning of behaviour must be taken into consideration. iii) The strategic role of the family group in transmitting the culture must be recognized. That is, in case of an individual being the member of a family, the role of family in shaping his behaviour must never be overlooked. iv) The specific method of elaboration of organic material onto social behaviour must be clearly shown. That is case histories that portray in detail how basically a biological organism, the man, gradually blossoms forth into a social person, are especially fruitful. v) The continuous related character of experience for childhood through adulthood must be stressed. In other words, the life history must be a configuration depicting the inter-relationships between thee person's various experiences. vi) Social situation must be carefully and continuously specified as a factor. One of the important criteria for the life history is that a person's life must be shown as unfolding itself in the context of and partly owing to specific social situations. vii) The 'life history material itself must be organised according to some conceptual framework, this in turn would facilitate generalizations at a higher level.

6. What is non probability sampling? Explain its types with examples. Non-probability sampling or non-random sampling is not based on the theory of probability. This sampling does not provide a chance of selection to each population element. Advantages: The only merits of this type of sampling are simplicity, convenience and low cost. Disadvantages: The demerits are it does not ensure a selection chance to each population unit. The selection probability sample may not be a representative one. The selection probability is unknown. It suffers from sampling bias which will distort results. The reasons for usage of this sampling are when there is no other feasible alternative due to non-availability of a list of population, when the study does not aim at generalizing the findings to the population, when the costs required for probability sampling may be too large, when probability sampling required more time, but the time constraints and the time limit for completing the study do not permit it.

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