Chapter 7. How to enter and manipulate data in SPSSWillie van PeerFrank HakemulderSonia Zyngier
Background|Enter Data|Analyze Data| Interpret Data |Report Data Correlations Box Take a look at the first box in your output file called Correlations. You will see your variable names in two rows. In this example, you can see the variable name ‘water’ in the first row and th...
In our enhanced mixed ANOVA guide, we: (a) show you how to detect outliers using SPSS Statistics, whether you check for outliers in your 'actual data' or using 'studentized residuals'; and (b) discuss some of the options you have in order to deal with outliers. Assumption #5: Your ...
In variable terms, the researcher wishes to know if there is an interaction between time and treatment on CRP. SPSS Statistics Setup in SPSS Statistics In our enhanced two-way repeated measures ANOVA guide, we show you how to correctly enter data in SPSS Statistics to run a two-way repeated...
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...
File formats like CSV, XML, xlsx, JSON, and web data can be imported into the R environment to read the data and perform data analysis, and also the data present in the R environment can be stored in external files in the same file formats. Reading CSV Files CSV (Comma Separated ...
For testing if q3 moderates the effect of q4 on some outcome variable, we simply enter this interaction predictor and its 2 mean centered(!) constituents, cent_q3, cent_q4 into our regression equation. We'll soon cover the entire analysis (on more suitable data) in a subsequent tutorial...
However, with a TI 83 box plot, the data can come to life. You may find this article helpful if you’ve never entered a list into the calculator before: Entering lists on a TI 83. Press STAT, then ENTER, to edit list L1. Enter the data from the problem into the list (one value...
Moreover, descriptive statistics enhance data visualization, allowing data scientists and business analysts to create intuitive charts, graphs, and dashboards that present findings clearly and effectively. By converting numerical data into visual representations, stakeholders can quickly comprehend key ...
Drag and drop the columns containing the dependent variable data into the box labeled "Dependent List." Click "OK." Step 3 Remove any outliers identified by SPSS in the stem-and-leaf plots or box plots by deleting the individual data points. Alternatively, you can set up a filter to exclu...