“Analysis of data is as important as any other component of the research process” says Guy (1976). To provide interpretable results, the data gathered must be organized and examined carefully. The planning of the research must include definite direction for the treatment of the data, since much of the success of data analysis tests on the ability in the choice of appropriate method for the analysis. This chapter deals with the statistical analysis of the data with reference to the hypotheses. Interpretation are also made to account for the results. The choice of the statistical techniques for the data analysis is largely determined by the research hypotheses to be tested. The tools are scored by the investigator by using …show more content…
Thus the ‘F’ test is used to determine whether the performance of three groups is significant or not. In order to find out the relationship between the dependent variable and other independent used , the investigator calculated correlations. The investigator used the product moment co-efficient of correlation which is designated by the letter ‘r’. In order to find out the interactive effect of all the independent variables on the dependent variable, the investigator applied multivariate technique, the liner multiple correlation were calculated to find out the strongest and weakest association of independent variables on dependent variable. The above statistical techniques were employed to test the hypotheses framed for the present study and to reach meaningful conclusions.
4.2 Statistical Methods Used in the Present Study In the present study, the investigator followed the following statistical procedures to analysis the data and to arrive at meaningful
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Marital Status and Teacher Effectiveness The mean scores of married and unmarried on teacher effectiveness are found to be 251.13 and 246.42. The mean scores of both married and unmarried teachers are in between value 243 to 345. Therefore, it is inferred that both married and unmarried teachers have high teacher effectiveness.
4.4.5. Age and Teacher Effectiveness The mean scores of teachers with age below 30 years, 30-40 years and 40 years and above on teacher effectiveness are found to be 255.04, 250.72 and 246.97. The mean scores of teachers with age below 30 years, 30-40 years and 40 years and above have high teacher effectiveness.
4.4.6. Type of Management and Teacher Effectiveness The mean scores of government and private unaided training college teachers on teacher effectiveness are found to be 250.91. and 249.75. The mean scores of government, private aided and private unaided teachers are in between value 243 to 345. Therefore, it is inferred that among government, private aided and private unaided teachers have high teacher effectiveness.
4.4.7. Level of Teaching and Teacher
As a result of searching the existing literature, the researcher was able to obtain data that correlated exceptionally well with the research topic. Indeed, the researcher gathered pertinent information from secondary sources; however, the primary sources of data were needed to draw a logical conclusion of the research at hand. So, the next step was major section III, Research Methodology. Being
The correlational method is used to measure the direction and strength of the relationship between two variables. There are three possible outcomes: positive, negative, or zero correlations. A positive outcome is when both variables result in high levels. A negative outcome is when one variable has a high level and the second variable has a low level. A zero outcome is possible if two variables do not have any systematic relationship with each other.
In addition to this, this number of studies is further reduced because many of the studies were not available in full. It is noticed that of 20 studies only abstract were available due to which they were not used for providing literature in this study. Therefore, only 10 studies were considered as relevant and were selected in order to conduct this study effectively. Moreover, these studies were searched by making use of some appropriate keywords, which are highlighted in the next
The appraising process was the most difficult from this activity but was one of the most important steps in selecting our evidence. Questions in the table such as “Is the aim of the study clear?” , “Were the subjects randomized?” and “Was there a control condition?” etc provided an objective method to evaluate the articles and their research.
The data were processed and analyzed using SPSS version 18. Frequencies, cross tabulation, Pearson’s, chi-square test, ANOVA were used to analyze the data. A p-value of <0.05 was considered statistically
Teachers received training on how they will be rated and the justification of their rating. Congruent with the article, the wording and phrasing within our evaluation leaves no room for ambivalence. Without clear objectives numerous of amounts of evaluations can be disputed thus tying both up administrators and teachers time and energy. Yet again our teacher evaluation rubric aligns with article. School leadership provides models of ineffective, developing, effective, and highly effective teaching across all subject areas.
The results of this experiment were mixed. Some tests came back statistically significant, while other did not. They did, however, lack many important aspects of the statistical analysis. The statistics were merely provided and not explained,
The results of the study are well presented and were made easy for other researchers to utilize the information in other
I will be able to criticize the appropriate used of statistical tool and research instruments. Knowledge in biostatistics gave me courage to analyze a research study. I was able to appreciate the different level of measurement and its corresponding test for comparison and analysis of data. I was able to determine if the research design is appropriate in measuring the research problem. Conclusions and implications were formulated with the knowledge that subjects for this study used.
NEED AND SIGNIFICANCE OF THE STUDY High School, the Secondary level of education is facing very harsh problems. The personality, attitude, emotional stability, morale, commitment towards work of a teacher determines the quality of education. The Secondary Education Commission (1952) rightly points out "We are convinced that the most important factor in the contemplated educational reconstruction is the teacher, his personal qualities, his educational qualifications, his professional training and the place that he occupies in the school as well as in the community. Reports of Kothari Commission (1964) says that “Of all the different factors which influence the quality of education and its contribution to national development, the quality, competence, and character of teachers are undoubtedly the most significant”. This statement reiterates the importance of teachers and their attitudes.
Resources were not provided directly because of inaccessibility of study area. However, reliability and validity of materials are not exactly since raw data was taken several years
Since the degree of freedoms equals one minus the number terms in the ratio being analyzed and the ratio being analyzed is 3:1 (with two terms), the students decided that the degrees of freedom was one. The last step was to find the p-value on the chi-square chart in Table 7. This is the most important step in the experiment because if the p-value number is less than .05, the hypothesis must be rejected (Chi-Square Test). Using Table 7, the group went to 1 degree of freedom in the y axis and the chi-square number on the x axis that was closest to .92. The students then conclude that the approximate p-value was .0158 or
Several studies have been done to identify problems that affects student’s academic performance. The students’ academic performance depends on a number of socio-economic factors like students’ presence of trained teacher in school, teacher-student ratio, attendance in the class, sex of the student, family income, mother’s and father’s education, , and distance of schools (Amitava Raychaudhuri,
In quantitative research, variables are identified and defined, and then relevant data is collected from study participants. A strength of this type of research is that the data is in numeric form, making it easier to interpret. It also studies the relationship between independent and dependent variables and can address questions such as does a relationship between variables exist, what is the direction of the relationship, how strong is the relationship between the variables, and what is the nature of the relationship. To be able to discover and answer the cause-and-effect relationship is a strength of quantitative research. Lastly, in quantitative research, the study can either be experimental or nonexperimental, meaning clinical trial or observational study, allowing for different types of research studies to be conducted.
Secondly, a methodology that describes the collection of data included together with highlights of limitations and thirdly key findings analysed and interpreted followed by some useful recommendations. Finally some future directions for research have been