Introduction to SPSS For Research

This specific course contains more than 10 videos and material related to the SPSS workshop conducted via webinar/ class. The participant who enrolls in this course will be able to study themselves and communicate with the instructor for the unlimited period of the course until your subscription ends. By the end of each topic, a short quiz will be given with specific time frame to ensure your understanding up to the level. You can continue your enrollment anytime anywhere using the platform given. The video explained in ENGLISH. Estimated time for the course will be 1-2 day. This course available online. For those who interested to join this online platform.

Step In Using Analytics For Your Research

Example of the steps that will be used in your scientific study can be summarized as follows:

1. Define your variables
2. Enter data
3. Run frequency and descriptive analysis
4. Data editing
5. Reliability analysis
6. Transformation of data
7. Exploratory data analysis (EDA) dan normality assessment
8. Data analysis for hypothesis testing
9. Descriptive analysis = frequency, percentages, mean ± s.d, Level, median, mode, IQR, range, and others
10. Reliability test = Cronbach Alpha, inter-rater correlation
11. Normality test = Shapiro Wilk, Kolmogorov Smirnov, Histogram with normality curve, Q and Q plot, Boxplot, Skewness, and Kurtosis
12. Parametric test = t-test, ANOVA, Pearson Correlation, Regression, Simple Linear Regression,
13. Non-parametric test = Mann Whitney U, Kruskal-Wallis, and Spearman Correlation
14. Pre and Post-study = Pair t-test, Mc Necmar, Wilcoxon test
15. Crosstab = Chi-Square and Fisher Exact Test
16. Epidemiological estimates and risk measures
17. Scientific reports and thesis writing

BONUS: Online Data Collection Technique using Online FREE Platform