whether in public or private enterprises. Whatever sector or field you work in, you will always come across data, either indirectly as someone who relies on data-driven decisions or directly as someone who interprets it. In this session, we discuss the introduction part of how to analyse data...
After collecting data in quantitative research, we need to understand and describe the nature and relationship of the data collected as the first step: descriptive statistics. The next step is to compare your findings with the hypothesis, confirm or dispute it, and check if it can be generalized...
SPSS StatisticsTest Procedure in SPSS StatisticsThe six steps below show you how to analyse your data using a two-way MANOVA in SPSS Statistics when the nine assumptions in the previous section, Assumptions, have not been violated. These steps are appropriate up to the latest versions of SPSS ...
Analyse resultant data, using data modelling practices, to pinpoint improvement opportunities and innovative tools to make them more effective Establish the feasibility of meeting set expectations in terms of time, effort, and cost Work with stakeholders to devise and implement strategies that will help...
Quantitative data: Apply statistical methods such as regression analysis, t-tests, ANOVA, or chi-square tests to identify patterns, relationships, and differences. Qualitative data: Use methods such as content analysis, thematic analysis, or coding to interpret textual or visual data. Use software ...
It helped me a lot to know about doing research as well as how to analyse data. It also assisted me in terms of what to look out for when gathering data 有帮助吗? Edgar J. 评分:5.0,满分 5 分1 个月前 EJ Very relevant, detailed and simple to understand. I really enjoyed the cour...
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analyse human body shape according to this definition, the effects of non-shape variation—location, rotation and scale—must be removed, which can be achieved using a Procrustes superimposition procedure28. Though these types of methods have been used to analyse shape in a wide range of ...
After two weeks the database was closed, data were downloaded, and the analyses were performed with SPSS 14.0. Analysis Feasibility The feasibility of the measurement strategy was assessed by: – The complete response rate; – The number of partial respondents (defined as resp...
First, descriptive analysis and visualization of the data was performed using Microsoft Excel 2016. Linear regression, using SPSS 23.0 to calculate regression coefficients and p-values, was used to analyse the effect of the covariates (both continuous and discrete independent variables) on the preferen...