Exploring data distribution in SPSS
Vložit
- čas přidán 11. 09. 2024
- First step in data analysis is exploring the data.
There are several ways of exploring and screening data.
Includes checking basic assumption about data.
Looking at descriptive statistics.
Drawing plots and graphs.
Parametric assumptions:
Normally distributed data.
Normally distributed samples come from normally distributed population.
Homogeneity of variance.
Samples obtained from population with same variance.
Interval data.
Independent data.
Data from different participants are independent.
Histogram
Box plot
Q-Q plot
Skewness
Kurtosis
Statistical tests
Kolmogorov-Smirnov test
Shapiro-Wilk test
Levene’s test
Whether you are an undergraduate or postgraduate student enrolled in Bachelor, Master or PhD study or if you are employed staff, researcher and whether you are in the field of Engineering, Medical, Biomedical, Health sciences, Economics, Business, Marketing or Social study or any other filed and have qualitative (questionnaire, survey) or quantitative (numeric) data to analyze and you want to become professional in statistical analysis using Statistical Package for the Social Sciences (SPSS) software. Follow my CZcams channel link and subscribe to get the latest released videos that are uploaded frequently. The channel will cover all aspects of data analysis gradually. If you are interested, then follow the link below and subscribe to view and select the topic you want to learn in SPSS.
/ @statisticstutor
i love this video. thank you, professor.