Data Collection for Resources with SPSS Help: Qualitative and Quantitative
Introduction
SPSS is the most trusted analytical software and SPSS help is its assistance to be provided by the experts to understand the workings of this tool. This programme was developed by SPSS Inc. in 1968 which was later acquired by IBM in 2009 for various analytical tasks such as business intelligence, data management, criminal investigation, multivariate analysis, and much more. Due to its easy-to-use platform, flexibility, and scalability, it is popular amongst people with different working skills.
Qualitative and quantitative research methodologies:
In research, the qualitative and quantitative methodology is the crucial part of the research where the researchers and data analysts are able to choose the best methods for conducting the study in a systematic way. Data and information are important for further critical analysis and in-depth evaluation, and it is mandatory for the researchers to collect authentic data and information. There are different ways to gather valid information and data, appropriate for the research. The researchers and data analysts are experienced to review the different sources of data and information for further data collection and analysis. There are mainly two types of data collection methods, primary and secondary.
Primary data collection:
It is the practice of gathering data from first-hand sources like surveys, questionnaires, case study analyses and interviews. First-hand data is considered a primary source of data through which it is possible to gather real-life experiences, personal opinions and perspectives of the respondents. The strategies of survey questionnaires, interview sessions, and case study reviews are effective to collect primary data and information. The researchers are efficient to collect the numeric data and information directly from the participants.
Secondary data collection:
It is different from the primary data collection method, where the researchers review the secondary sources of information which are books, journals, articles and online published articles. Gathering authentic data and relevant information is mandatory for the researcher to conduct the study and fulfil the research aim. The secondary data collection method is effective to review the literature, gather theories and models related to the study and develop own understanding for better qualitative analysis and evaluation of the research. Own knowledge and skills further help the researcher to conduct the study with critical evaluation and in-depth analysis.
In order to analyse the primary and secondary data and information, there are two techniques of data analysis, which are quantitative and qualitative. According to the type of the gathered data and information, the researchers are trying to choose the best data analysis technique to meet the research objectives, that is quantitative and qualitative research.
Quantitative data analysis:
The quantitative analysis method is mainly utilised for analysing the primary data, which are in numeric form or others. The data analysis is being conducted through charts, graphs, and other statistical tools for better analysis and data evaluation. The analysis is concerned with numerical data and identifying the average answers and quantitative phenomena. Descriptive statistics is being utilised, where the researchers are efficient to develop graphs, charts and tables for representing the data and analysing it critically. SPSS is the software system that is utilised widely by researchers for analysing numeric data successfully. The statistical functions including the mean, median, mode, standard deviation, variance, correlation and coefficient are helpful for the researcher to analyse the data and explore the impacts of independent variables on the dependent ones. This is the best way to test the research hypothesis and draw final conclusions for meeting the research objectives. The sample size is mainly large where the respondent’s data will be analysed efficiently through static models.
Qualitative data analysis:
The qualitative data analysis method is different from the quantitative research methodology, and in this regard, the researchers mainly use the existing theories and concepts for data analysis and evaluation. The qualitative data analysis is concerned with non-statistical data and the typical data includes, for example, gender nationality religion, qualitative information etc. The secondary data is being utilised by this method, and in-depth evaluation, case study analysis and thematic analysis are the major ways to conduct the qualitative study. The sample is small and the researcher tries to interpret the social interactions for completing the research. The sample size is small as compared to the quantitative data analysis technique.
Conclusion
Hereby, as per the data collection method, the researchers choose the right data analytics technique for further critical evaluation. It is possible for the data analyst to represent the data in a systematic way and perform quantitative qualitative research methodology as per the research topic and the hypothesis. The numeric data analysis can be conducted through quantitative data analysis, where mainly SPSS data analysis is widely utilized. The survey data and large volume sample are being analysed critically through the quantitative data analysis technique. On the other hand, the interview transcript, and secondary data are analysed through qualitative methods, mainly by case study analysis and thematic analysis. In this regard, the theories and concepts are useful for the researchers to improve their own understanding and acknowledge the research aim and objectives. Authenticity and validity of the data and information are necessary to be maintained for critical evaluation. Ethical consideration is playing a crucial role to perform the research activities in a systematic way and in this context; it is possible for the data analysts and researchers to choose the best way for completing the study successfully.















