The best way to learn statistical modeling in SPSS is by practicing with some data sets. Below are some data sets that you can use to practice the techniques discussed in this book.
This table includes a brief description of the data, the names of the main variables, recommended modeling method, and links to download the data in CSV file format.
| Data | Variables | Source | Suggested modeling | Download link |
|---|---|---|---|---|
| A study on the effectiveness of radiosurgery treatment of primary brain tumor patients. | Survival time, Survival status | Selinjerova et al (2016) | Kaplan-Meier, Cox regression | Brain tumor |
| Pima Indians Diabetes is a study on development of diabetes among female Pima ethnic group. | Diabetes status, Blood pressure, BMI, Glucose level | National Institute of Diabetes and Digestive and Kidney Diseases | Logistic regression | Pima Indians Diabetes |
| A study that compares arsenic level in water pipes with acceptable level. | Arsenic level | Hypothetical | One-sample t-test | Arsenic |
| Estimating body fat by knowing circumference measures of different body parts. | Body fat, Circumference measures | Penrose et al (1985) | Multiple regression | Body fat |
| Classification of breast cancers using cell measurements. This breast cancer data was obtained from the University of Wisconsin Hospitals, Madison from Dr. William H. Wolberg. | Breast cancer types (benign, malign) | Mangasarian and Wolberg (1990) | Logistic regression | Breast cancer |
| Does cardamom have any effect on blood pressure? | Blood pressure | Hypothetical | Dependent-sample t-test | Cardamom |
| Research on the reelationship between exercise and optimism. | Exercise frequency, Optimisim scale | Hypothetical | Kendall Tau correlation | Exercise and Optimism |
| A randomized trial evaluating hormonal treatment and the duration of chemotherapy in node-positive breast cancer patients in Germany. | Recurrence free survival time (in days), Censored status, Therapy | Schumacher et al (1994) | Kaplan-Meier, Cox regression | Breast tumor |
| Study on the relationship between hours of study and exam scores. | Hours of study, Exam score | Hypothetical | Pearson correlation | Study hours and exam scores |
| Study on the relationship between exercise and weight loss. | Exercise hours, Weight loss | Hypothetical | Spearman correlation | Exercise and weight loss |
| Study on the effectiveness of two math teaching methods. | Teaching method, Math score | Hypothetical | Independent-samples t-test | Math scores |
| A study on the survival time of recurrent malignant Gliomas patients. | Survival time, Survival status, Cancer types | Rostomily et al (1994) | Kaplan-Meier, log-rank test, Cox regression | Malignant Gliomas |
| Study on the effectivness three physical therapy methods on recovery time. | PT method, Recovery time | Hypothetical | One-way ANOVA | Physical therapy methods |
| Investigating the interaction effect of physical therapy methods and injury severity on recovery time. | PT method, Injury severity, Recovery time | Hypothetical | Two-way ANOVA | Physical therapy and Injury Severity |
| Does providing a school-based yoga program to school children reduce their math anxiety? | Math anxiety | Hypothetical | Repeated measures ANOVA | Math anxiety |
| Is there a relationship between Sleep position (sleeping on side versus on back) and Backache complaints? | Sleep position, Backache | Hypothetical | Chi-square test | Backache |
| What is the relationship between the number of hours students dedicate to studying and their test scores? Can the number of study hours predict test scores? | Study hours, Test score | Hypothetical | Simple linear regression | Study hours |
| What is the relationship between the number of hours students study, students' academic motivation and their test scores? | Study hours, Motivation, Test score | Hypothetical | Multiple linear regression | Study hours and motivation |