Testing the difference between the respondents demographic groups As mentioned in chapter 4: table 4-3, there was a very different between the number of respondents within some demographic groups, e.g. the gender groups compromised 185 males and 25 females and similarly, the academic background groups compromised 3 high school, 185 graduate and 85 postgraduate holders. Therefore, generalising the results of testing the difference between the means of these groups may be invalid and meaningfulness. However, it could give general indicators about the opinion of each group regarding the performing the SECI and innovation processes within the Egyptian banks. In this term, there are two methods to test the difference means between groups based on the measurement scale of the tested variables and the normality distribution of data. The parametric test (e.g. t-test and one–way ANOVA) is suitable for the ratio or the interval scale and for the data which is normally distributed. In contract, the non-parametric tests (e.g. Mann-Whitny and Kruskal-Wallis tests) are suitable for the nominal and ordinal scales and for the data which is normally or non-normally distributed (Field, 2009; Kleinbaum, et al. 2008). As mentioned earlier, the normality distribution of the research data had been investigated by skewness and kurtosis tests (see Table 5-1) and the study used the factor scores (which are not ordinal or nominal scales) yielded by the factor analysis for the further statistical analysis. Therefore, the parametric tests could be proper techniques to test the difference between the respondents’ demographic groups regarding the SECI and innovation activities in the Egyptian banks. In this term, there are two parametric statistical techniq... ... middle of paper ... ...the males and females staff in terms of performing theses processes in the Egyptian banks. In contract, the levene’s test for the externalisation and innovation processes shows that the F ratios were significant (p < .01and p <.10, respectively). Therefore, the Equal variances not assumed row will be used for the t-test. As shown in the table, the t-test results were not significant for the both processes therefore, it could be included that although there was difference between the means agreement of males and females staff in terms of performing the externalisation and innovation processes (the males means was a bit less than the females means for the externalisation process, Mean difference =.-171 and the males means was a bit higher than the females means for performing the innovation process, Mean difference= .065), however this difference is not significant.
Collected data were subjected to analysis of variance using the SAS (9.1, SAS institute, 2004) statistical software package. Statistical assessments of differences between mean values were performed by the LSD test at P = 0.05.
Weaknesses are what surrounds this research starting all the way from the research methodology to the approval stage of the research by the Institution Review Board (IRBS). The approval of the research meant that the IRBS is a failure in concerning the procedures by which research is conducted and thus the responsibility of the IRBs was too lenient leading to the results being unjustifiable and full maliciousness. Approval of such research is an indication of poor code of ethics which are being induced in the IRBS responsiveness in relation to
The articles, published after 1996, contain varied methods of research attainment, but share similarities such as being a self-survey, having a small sample size, and being
The primary factors that are important in conducting statistical test are variables (categorical or quantitative) and the number of (IVs) independent variables and (DVs) dependant variables. To facilitate the identification process the chapter provides two decision- making tools so that it is easier to make a decision. The chapter presents the decision making tools and gives an overview of the statistical techniques addressed in this text as well as basic univariate test, all of which will be organized by the four types of research questions: degree of relationship, significance of group differences, prediction of group membership, and structure. Statistical test that analyze the degree of relationship include bivariate correlation and regression, multiple regression and path analysis. Research questions addressing degree of relationship all have quantitative variables. Methods that examine the significance of group differences are t test, one-way and factorial ANOVA, one-way and factorial ANCOVA, one- way and factorial MANOVA, and one-way and factorial MANCOVA. Research questions that address group differences have categorical IVs. Statistical tests that predict group membership are discriminate analysis and logistic regression. Research questions that address prediction of group membership have a categorical DV. Statistical
The study consisted of 3200 participants (all men) .They all were given questionnaires and from their responses and their manner, each participant was put into one of two groups:
The statistics used for the examination and explanation from yearly information of the firm i.e., secondary basis of data. Ratio analysis is used for learn purpose.The project is obtainable by tables, graphs and with their interpretations. No appraisal is undertaken or surveillance study is conducted for evaluating Asset Management appearance of the firm.
Compare to the “statistical generalization” in experiment and survey approach (Yin, 1994), in the case studies the method of ‘analytic generalization’ is widely used. Analytic generalization is mentioned about that a previously developed theory is used as a template with which to compare the empirical results of the case study.
In comparing two or more sets of data, there are instances where the use of any measure of central tendency may not be adequate. Thus, there is a need to study more measures to supplement the need in describing the date set more accurately.
In this chapter, the data collected were systemically processed, tabulated and made suitable for analysis and interpretations. It was a study on stock price movement in selected banking companies through data collected for the nine months from July to March. The performance is analyzed for the stock prices of Current market price, Yearly high, Yearly low, Last completed financial year value, Sales, Operating profit margin, Net profit, Equity, Earning per share, Book value, Factor value, Dividend and Price Earnings. The results obtained were classified, tabulated and the following analyses were performed in fulfilling the objectives of the study.
Secondary sources of data like internet were used to conduct the exploratory study. Relevant variables were generated and questionnaire was developed to obtain primary data from the sample. 81 respondents were selected based on the convenience of the researcher. Data collected was analysed using statistical tools like frequency charts, pie diagrams etc. Requisite conclusions were arrived at and recommendations put forth.
The Term paper involved an Exploratory Research design. The data used in the project is secondary data collected from various sources. Also, basic statistical tools like pie-charts, tables and histograms are used to analyse the data.
Banking is a process that is involved in many ways with the business and trade. There are different types of banking in the present world. Two major types are the Conventional Banking and the Islamic Banking. Both of the banking systems are playing very important roles in the trade and business. The focus in this discussion is an evaluation about these two banking system. The chapters will address important bank characteristics that will be included in the regression models. The Ordinary Least Square method will be used to identify how bank characteristics impact bank profitability. The adopted methodology examines the sensitivity of internal bank characteristics on profitability indicators. The profitability study is conducted on Islamic banking system and is compared to conventional banking system. The discussion begins with a literature review and moves on to the critical evaluation and analysis, variable definition, model, and data variables, advantages, disadvantages, points agreed with, points disagreed, reasons, and evidence.
The choice of the banks is guided by the fact that they are listed companies in NSE F&O segment. The statistical package used is MS EXCEL windows 7 version. In order to analyse the co-movements between the dependent and independent variable simple regression method is used.
This chapter dealt with the background of the study, problem statement with purpose and objectives. The assumptions, variables, definition of terms and delimitation of the study are also included in this chapter.
A variety of groups are concerned in bank profitability for various reasons. The bank shareholders would want to know if the value of their investments is high or low. The investors also use current and past performance to predict future price of the banks’ shares traded on the stock exchanged. The management of the bank as trustee of the shareholders is evaluated and compensated on the basis of how well their decisions and planning have contributed to growth in assets and profits of their banks. Employees of bank also are concerned with profits, since their salaries and promotions are frequently tied to the profitability performance of their banks. Depositors use bank performance and profitability as indicators of security for their deposits in the banks. Finally, business community and general public are concerned about their banks’ performance to the extent that their economic prosperity is linked to the success or failure of their banks.