In this video Jarlath Quinn demonstrates how to merge data files within SPSS Statistics using each of the two main methods, either adding cases (combining files with the same fields but additional rows) or adding variables (combining files by joining variables to a target file using something like an ID field as a ‘keyed variable’).
SPSS users often want to be able to create grouped or banded data from continuous fields such as, for example, creating age groups or income bands from continuous fields. In this video Jarlath Quinn demonstrates how to use the visual binning procedure within SPSS Statistics to do this including how to control the proportion of cases that fall into each band and how to automatically create value labels.
Recoding your data means changing the values of a variable so that they represent something else. Within SPSS Statistics there is more than one type of recode that can be performed. In this video Jarlath Quinn demonstrates how to:- Recode into the same variables, overwriting an existing variable Recode into different variables, creating a new variable in addition to your existing variables Automatically recode, a particular procedure designed to change string codes into numeric codes Visual binning, visualising a distribution in the form of a histogram and slicing it into ranged categories
When you’re deciding which tests to run on your data it’s important to understand whether your data is normally distributed or not, as a lot of standard parametrical tests assume a normal distribution whereas other non-parametric tests are designed to be run on data which is not normally distributed. A normal distribution has a number of characteristics:- It is symmetrical It is bell-shaped Its mean, median and mode all appear at the same place Normal distributions can be divided up into the same proportions by the standard deviations, so 95% of the area under the curve lies within roughly plus […]
In this video Jarlath Quinn demonstrates how to work with date and time variables in SPSS using the SPSS date and time wizard. This enables you to:- Calculate time units between two dates Add / subtract time units to or from dates Extract part of a date or a time, such as days of the week or months of the year Create date or time variables from variables holding part of dates or times
In this video Jarlath Quinn demonstrates how to use SPSS Statistics to define data filters in order to select particular cases for analysis. This can be done either to create a temporary selection or to create a permanent new file with only a subsection of cases included within it. The video demonstrates how to do this with string variables too, as well as how to combine conditions from multiple variables in your selection.
In this video Jarlath Quinn demonstrates how to reverse the values of a rating scale (such as an agreement scale or a satisfaction scale) in SPSS Statistics, so that the highest value becomes the lowest value and vice versa. Jarlath shows two methods of doing this – one using the compute procedure and the other using the recode procedure.
SPSS users often want to know how they can combine variables together. In this video Jarlath Quinn demonstrates how to use the compute procedure to calculate the mean of a number of variables to create one combined variable, and also how to use the count values procedure to count how many times a particular value occurs across a series of variables in order to create an overall count.
In this video Jarlath Quinn introduces the popular TURF analysis technique and demonstrates how to apply it in IBM SPSS Statistics. TURF analysis is used in many industries to find the optimal sub-group of options from a wider portfolio in order to maximise their appeal to an audience or market. As such, TURF analysis is used to: Find the best assortment of SKU’s that appeal to the largest group of customers Identify the best 3 publications to reach the largest share of market Discover the optimal assortment of services to entice the most new clients Note, TURF analysis functionality is […]
In this video Jarlath Quinn explains what cluster analysis is, how it is applied in the real world and how easy it is create your own cluster analysis models in SPSS Statistics. The video includes: A demonstration of cluster analysis using sample data How to use the cluster viewer facility to interpret and make sense of the analysis results How to apply a cluster model to a data file and rename the groups to make them meaningful to non-experts How use cluster analysis to illustrate how a customer base changes over time