Data The current age is marked as the “age of data”. Due to technological advancement, datafication is everywhere and the data guys are datafying almost everything whatever we observe, we see, we talk, we photo, we search, visit or share on the web, we facebook, we instagram, we tweet, the location we visit with or […]
Florence Nightingale (1820-1910), known as The Lady with the Lamp, was born in May 1820 in Florence, Italy. She was a nurse by education, social reformer and best known as the founder of modern nursing. Because of her father was a wealthy landowner who inherited two estates: one in Derbyshire, other in Hampshire in England […]
Test statistic is a quantity calculated based on the sample data. Based on the test-statistic value we make the decision on whether we reject the null hypothesis. With a large value of test-statistic (for every test there is a cut-off value) the null hypothesis is rejected. There are many test-statistic around. For example, Z-test, t-test, […]
The clinical hypothesis is generated from the objective of the research or research question. The statistical hypothesis is generated from the clinical hypothesis. From the diet study (diet dataset) the researcher’s objective is to reduce weight by applying different types of diet. Secondly, to see which diet performs better in reducing weight? The clinical hypotheses […]
To get the first insight from the data we use graphs. Dot, bar, histogram, box (which also known as box and whisker plot), and scatter plots are very useful plot types. Let us look at the table below to know which graph is suitable for what type of variable. Table 1 Common graphs by variable […]
Data manipulation is half of the analysis. Data manipulation means editing the data such as sorting, recoding the existing variables into new, adding labels to the data, inserting the new data, changing a specific value and many others. Some people do the data manipulation in Excel and then reopen it in SPSS for analysis. This […]
SPSS can read different types of data file such as SPSS file(*.sav), comma-delimited(*.csv), Excel spreadsheet (*.xlsx), text file(*.txt) etc. Opening data in SPSS is easy if the data is in *.sav format however for formats it is a bit tricky. Keep clicking the following menus: File – Open – Data Command 1 Then a […]
IBM SPSS Statistics is a handy and powerful statistical software which allows you to quickly analyse your data using simple point-and-click interface. That means you can find an option to click from a drop-down menu for a statistical analysis technique you would like to perform. For example, to calculate the mean and standard deviation or […]
Dr Mo Bahezi is a professional Biostatistician,