Primary and Secondary Data Collection Method - Essay Example

Methodology Introduction This part entails the approach essential to research, the questionnaire approach employed in gathering information as well as data collection and analysis employed in the research. The data as a whole will majorly place more reliance e on secondary source of data which will entail the assessment of secondary sources that are widely addressed in an assortment of contemporary issues on appraising the outcome of the project objectives. The research will therefore entail the assessment of articles from published sources as well as per review books and journals moreover; the entire cited articles and books chosen will be the latest ones (K. N. Krishnaswamy, 2009). A. Primary and secondary data collection method 1. Primary data collection and analysis This is first hand information and the responded are expected to be from within the borouge workshop. Some of the data collection approach to be used are the interviewing the respondent as well as filling gin the questionnaires. This approach is significant due to the fact that it provides straightforward information from the respondent that may be entire relied upon in making an informed decision concerning the effectiveness of the quality management system at borouge workshop. 2. Secondary data Secondary data consist of a variety of articles from published and peer reviewed books and journals and also from trusted websites which disclose vital information in understanding the quality management system and standards to be adopted in every workshop related to borouge workshop. Moreover, the entire cited articles and books chosen are up to date (Khan, 2000). Both data collection approach is significant for our research because, the approach ensures that there is utmost n0n-bias data collection from wide field and thus there is reduced impact of unreliable data which implies that the information collected via the secondary and primary data collection method is less misleading. B. Quantitative and Qualitative data collection tools Data collection tools and its relevance The choice of numerous research approaches for collecting data depends on the variables to be ascertained, the source as well as the resources existing at present. Data collection should conduct at interval adequately recurrent for management reason, frequelty collected data will possibly have to place reliance on personnel providing data. As discussed above, the study aims to collect data in some ways; primary and secondary data, survey and interview and questionnaires (Lynn Silipigni Connaway, 2010). This data is analysis tool are identified and ascertained based on its relevance in using the method in collecting data and analysis and conclusion made on the best data collection tool to be employed in the research. The following are data collection tool frequently used in re A. Quantitative research Under this approach, it appreciates the practical research of identifiable phenomena by way of arithmetical, statistical or numerical data approach. The objective of this approach is to create as well as appreciate a numerical model, hypothesis as well as assumption relating to phenomena. The sequence of appraising the core to quantitative research is important due to the fact that it provides the main link relating to real observation and numerical expression of quantitative link. The data that is numerical such as the statistic as would mean that the quantitative research seek to provide solution to unique question and also collect a sample of arithmetical data observable from a phenomena. The researcher scrutinizes the data gathered with the help of statistical too with the aim of creating non-discriminatory outcome .the use of quantitative approach depict same sample size unlike quantitative research. Which would lead to dissimilar approach when it comes to using the data gathered (Newman, 1998). The main part of the qualitative analysis is the interpretation of the data collected; the larger sampling present for the research to quantitative research approach enables outcomes to be detailed from the research model. In qualitative research, such generalizing capacity is not appropriate approach. Qualitative research seeks to deal with human understanding as well as more linked with transferability when the findings fir into the situation outside the research situation that is determined by the resolute by the similarity of fit entailing the two situations. B. Qualitative research This approach seeks wide questions as well as collect data from phenomena. The researcher looks for issue as well as exemplify the information in the issue in study limited to the set of participant. Qualitative study approach are appropriate for unique research, the study may provide a chance as well as focus on detailed research. the approach allows a detailed examination of matters, answering the question of who is impacted and why, what factors are significant and whether individual act in respond to dissimilar approach to everyone.. More and more acknowledgment is being given to individual in the progression, not just the observable consequence of delay on research currently being undertaken on understanding the quality management system instituted in borouge workshop (Panneerselvam, 2004). Qualitative research like the semi-structured questioning, case studies and storyline may disclose more relating to effectiveness of the project. it is vital to appreciate a dissimilarity relating to research on quality management system instituted in borouge workshop. it might be realized that qualitative as well as quantitative method are very different approach to research. It can be concluded that the benefit of qualitative and quantitative research method is that it allow the researcher to be successively independent, seen and heard. the method is significant for responsive matters that may require research for more information and also eventual for creating an assumption that may be examined using the quantitative research method. It might be regarded to a pre-testing on numerous materials to examine the aim of the viewers. As a result, it will aid in forming a conclusion . as a result, qualitative and quantitative research method must be employed in data collection testing as well as assessment because, the approaches provides a reliable information with small errors from sampling as well as saves on time and cost to the research (Lynn Silipigni Connaway, 2010). A. Questionnaire We will employ this approach majorly in collecting data for decision making. Questionnaires entails filling of the form by the respondent individually. Questionnaire may be handed out and collected at a later date. This approach may be adopted for the whole population which may be used to gather data frequently for specialized study, a questionnaires requires the respondent to fill in the questionnaire personally as well as o requires a superior level of literacy in which there is numerous languages, a questionnaire must be prepared to take care of numerous languages of the target group in the research. In order to collect a wide sort of data from the respondent , questionnaires must be simple and exact with the target questions. Questionnaires should be brief as well as where the questioners is being provided to a sample population then it might be prepare many smaller as well targeted questions. . sample size The selection of the research sample was executed employing suitable sample approach . one questionnaire was therefore presented to every respondent in the study. this is significant because it aid in guaranteeing that entire information is collected and consequently there is less error from the sampling arising from sampling. The sample size is of the major factor to take into consideration because it may Impact project completion time where there is high sampling error as well as time to finish. In this regards, the research guaranteed that there is an ideal sample size that may save time and cost and guarantee low sampling error while covering a wide areas in collecting data for analysis (Khan, 2000). D. Collation and presentation of Data Data collection The first hand data was collected by using the standard questionnaires as well, as the entire respondent was completed. The questionnaire had the open and closed ended questions created. The first segment was concerned with collecting the information concerning the respondent, segment two relates to appraisals of outcome of the constraints on undertaking the quality management system while the third segment entails the subsections 1 entailed the information on approach while subsection two focus on intricacies encountered at the time of research Data assessment The questionnaires collected were then condensed for straightforwardness, consistency, equivalence and completeness as well as structured in order to facilitate numbering and tabulation before closing the evaluation. The data was numbered as well as cross referenced and established with the aid of SPPS data analysis software. the descriptive statistics by way of percentage and frequency distribution was taken into consideration as well as considered significant due to the fact that the methodology was analytical test as well as the variables were qualitative as well (Kothari, 2011). D. Collation and presentation of Data The respondent were gathered from the whole segment of the workshop divisions with the preponderance of 78% having 5years experience in the workshop operation,34% of the respondent provided 54% response while 69% assume the Quality management system (QMS) testing in the workshop and also 30% did not appreciate the other methodology to achieving the objectives and 34% did not understand quality management system and its relevance in the borouge workshop.7 questionnaires were discarded due to clerical errors as well as inaptness critics from the respondent. Issues in the practice of quality management system and its impact by those assuming QMS The table below depicts the extent to which respondents understood QMS. The question was intended to examine the effectiveness of the response test for consistent inn feedback. Table 2: Understaning Quality management system by those assuming it Understanding Frequency Percent (%) Very low 6 9 Low 9 21 Fair 5 29 Exemplary 11 41 Total 30 100 Source: dissertation data Figure 1: chart showing understanding of green accounting by those who undertake it Does Quality management system development whole performance of the workshop? Every performance length was examined on a five point likert scale with 5 portraying the highest constructive development as well as 1 portraying highest pessimist improvement as observed in the table below. Table 3: The whole QMS evaluation Performance dimension Mean Standard deviation Customer satisfaction 2.40 0.6 Public acceptance 4.40 1.3 Time 3.44 0.6 Quality 2.48 0.7 Cost 4.15 0.8 Source: dissertation data Extend to which assuming QMS improves the chances of workshop efficiency The respondent was determined at the extent to which they undertook QMS and its effect on workshop performance on a 5-point scale. The result is portrayed in the figure below. Table 4: likert scale depicting the extent to which assuming QMS contribute to works effectiveness Showing the degree to which undertaking green accounting contribute to project accomplishment. Ratings Large extent (4) Small extent (3) Not at all (2) ∑f ∑f w ∑f w Project success 2 3 1 3 10 2.8 Project failure 1 4 2 3 6 1.9 Project stoppage 1 3 4 3 5 2 Higher expense 3 2 2 3 8 2.3 Use of less resources 3 3 1 3 11 3 Use of smaller manpower 2 3 2 4 7 3 Source: dissertation data Numerous responded undertook the QMS in improve workshop performance Weaknesses of Quality management system Table five of the result from the respondent’s observation relating to the extent to which limitation of QMS make it less important to assume on the workshop. Table 5: limitation of QMS in contrast with its assumed value Weakness Mean Rank Commencement of authenticity as fixed instead of energetic. 4 3 Non enclosure of other factors that influence the QMS 2.8 3 Providing superiority to the thought of QMS, which might be a smaller objective. 3.7 3 Depicting past effect as sunk and thus depicting less value in the current business situation. 3.8 3 A small number of factors under evaluation can be different. 2.4 6 Troubles in undertaking QMS The respondent provided opportunity to point out the troubles they encountered at the time of research of QMS. The outcome were then examined as well as positioned in descending manner in terms of the very recurring troubles as portrayed below. Table 6: problems come across in undertaking QMS. Difficulty Mean Rank appraisal of non-monetary consequence 5 2 Incorporating unknowns related industrial changes. 3.8 3 Creating modification factors and normal modification factors. 3.5 4 Inadequate funding resource for the project. 3.7 6 deficiency of data for evaluation 3.7 4 Difficulties in collecting information from the personnel in the workshop. 2.5 7 Those who didn’t undertook QMS project but appreciate other approach An ultimate Cost-effectiveness evaluation was just the alternative approach employed. This was by undertaking a sample questionnaires from the selected personnel in the workshop that a representative of the department in the workshop. The respondents were required to point out any benefit of the approach over QMS. Table 7: benefit of the alternative approach over QMS Aspect occurrence grade It is despicable to use because, it doesn’t require the employment of exclusive finding. 6 3 It doesn't require much data to get on. 4 6 It is simple 2 7 It is likely to be at discrepancy with more aspects than may be dissimilar in QMS... 3 6 Whatever data it commands obtainable. 3 8 The cost considered as vital aspect likely because undertaking QMS requires relatively extra funds and labor force. Basis for Non-use of QMS evaluation in the workshop The respondent who employed other method provides good reason as observed in table 8 for non-use of QMS in order from preponderance to the small importance. Ratings Large extent Small extent Not at all Project success 4 7 8 Project failure 2 8 4 Project delay 4 7 5 Higher expense 4 4 7 Use of less funding 7 5 8 Use of smaller labor force 3 3 7 The group neither assumed QMS nor appreciated other methodology to be familiar with concept of QMS Out of the 9 respondent who pointed out that they did not undertook the test with the notion of QMS or other option to achieve same objective, five were well familiar, 3 were fairly familiar with the knowledge of QMS. Table 9: knowledge Quality management system well-known Rate Percent (%) satisfactory 9 40 moderately 5 43 refutation 8 17 Total 22 100 Presentation of the projects they tested The responded were further required to rate the presentation of the project which they have tested on 5 point likert scale to test whether such project are considered to be performing better without QMS. Table 10: presentation of the projects they tested Performance Rate Percent (%) Total achievement destitute 12 11 1 unsuccessful 11 14 34 high-quality 9 31 34 outstanding 6 41 43 Total 34 100 95 The normal attainment was 3.5 meaning that the project were con sired to be performing better. The result may be overvaluing or it strengthening the case for QMS contentment provided the realistic intricacy Judgment relating to the QMS The respondent were commanded to establish the extent to which they match up with their report :”Quality management system is more than education task with less significance to centered proficiency individual in sensible project worth “the result are depicted as per the class such as the concerned parties and non-users of QMS as well as for mutual collection joined. Table 11: extend of difference with the statement for users of QMS Extend of disagreement Frequency Percent (%) Strongly oppose 3 23 be against 10 54 Don’t agree nor differ 3 11 Agree 2 14 Strongly agree 2 11 Total 21 100 A great portion of this sort of respondent did not agree with the statement hence is due to the fact that they are currently considering the approach (QMS) as well as it is quite difficult for anyone to appreciate that they in reality used a defective approach. Table 12: Extend of divergence with the report for non uses of QMS. Extend of difference Frequency Percent (%) Strongly oppose 3 5 Differ 4 10 Neither concur nor oppose 4 9 agree 5 25 Strongly agree 4 35 Total 6 100 Table 12 above portray that the largest part of the group (Respondent) which is amounting to 65% agree with the report. It may be as well be concluded that there are no respondents who provided the feeling to strongly agree. Moreover, it may turn to be unjust since they do not assume it. Table 13: extent of disagreement with the statement for both users and non-users of QMS Degree of disagreement incidence Percent (%) Strongly oppose 6 10 be against 9 23 Neither concur nor oppose 5 12 Concur 5 15 Strongly concur 5 20 Total 30 100 When both groups are integrated, it may be depicted that the greater part of the respondent doesn’t agree with the statement. The critics correlate with them user’s depicted characteristics as fro against QMS. The users of the approach did not concur with the statement while the 9 respondent agree with the statement. Reference list K. N. Krishnaswamy, ‎. I. (2009). Management Research Methodology: Integration of Methods. Khan. (2000). Research Methodology - Page 97. Kothari, C. R. (2011). Research Methodology: Methods and Techniques. Lynn Silipigni Connaway, ‎. R. (2010). Basic Research Methods for Librarians, Fifth Edition - Page 296. Newman, I. (1998). Qualitative-quantitative Research Methodology: Exploring . Panneerselvam, r. (2004). research methodology - Page 14. Robert M. Groves, ‎. J. (2011). Survey Methodology - Page 7. Read More