The scientific validity of neurological rehabilitation research depends on the accuracy of the statistical methods used. SPSS is one of the most commonly used analytical tools in this field. This guide detailing how to analyze neurological data with SPSS, the tests to be selected, and how to manage the research processes.
Most Common Statistical Needs in Neurological Rehabilitation Studies
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Pre-treatment-post-treatment improvement analysis: The scores of patients measured at different time points during their treatment should be compared. If the data are parametric, a dependent sample t-test, and if not, a Wilcoxon Signed-Rank test is applied. If there are three or more time points, Repeated Measures ANOVA is preferred.
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Relationship between scales and performance tests: To see whether there is a relationship between subjective scales (SIS, PDQ-39) and objective tests (6DYT, TUG), correlation analysis is performed. If the data are parametric, Pearson correlation, and if not, Spearman correlation coefficient is used.
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** Modeling of factors influencing functionality, quality of life, and motor scores**: For example, Barthel scores influenced by age, gender, and diagnosis duration can be modeled using multiple linear regression. If the outcome variable is categorical (e.g., independent-dependent), logistic regression is applied.
Who Is This Guide For?
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Master's and doctoral students writing theses: Physical therapy, occupational therapy, nursing, physiotherapy, neurology, and similar areas.
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Those seeking to produce scientific evidence through SPSS analysis.
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Clinical workers and academics: Professionals who want to prepare activity reports by analyzing clinical data.
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Health professionals applying for publications or conferences.
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Researchers seeking external consulting services for analysis processes, APA 7-compatible table/report formats, and data interpretation.
Subtopics in Neurological Rehabilitation and Typical Research Areas
- Stroke rehabilitation after stroke
- Motor function development in Parkinson's disease
- Daily living yeterleness in multiple sclerosis patients
- Walking capacity after spinal cord injuries
- Balance and posture control in cerebral palsy
- Cognitive recovery in traumatic brain injury
- Development of balance scores in ataxia and balance disorders
- Effectiveness of telerehabilitation and virtual reality applications
Different data types (duration, score, category, test result) can be found under each title, and the analysis method is determined accordingly.
Most Commonly Used Scales and Clinical/Performance Tests in Neurological Rehabilitation
Patient-Reported Outcomes (PRO) Scales:
- Stroke Impact Scale (SIS)
- Parkinson Disease Questionnaire (PDQ-39)
- Multiple Sclerosis Impact Scale (MSIS-29)
- Fatigue Severity Scale (FSS)
- Beck Depression Inventory (BDI)
- SF-36 / WHOQOL-BREF
- Barthel Index / FIM
- VAS / NRS (Pain)
- Tampa Kinefyobi Scale (TKÖ)
Clinical / Performance Tests:
- Berg Balance Scale
- TUG (Timed Up and Go)
- 6 Minute Walk Test
- 10 Meter Walk Test
- GMFM
- MMSE
- Modified Ashworth Scale (MAS)
- Brunnstrom Motor Stages
- DGI
Parametric tests, correlations, categorical analyses, and regression models are used in the analysis of these tests.
Frequently Asked Questions (FAQ) and Answers
What data should I prepare to have SPSS analysis performed?
Your raw data should be in an Excel file as follows: participant codes, gender, age, diagnosis duration, scores before and after treatment (for each test), group information (control/treatment).
Which tests are used for ordinal (categorical) data such as MAS and Brunnstrom?
Chi-square test, Fisher Exact test, or Mann-Whitney U are used for these types of categorical data.
How does the difference between FIM and Barthel affect the analysis process?
FIM is more detailed and creates more variables in the analysis. Barthel is simpler, providing a single total score assessment. FIM is more suitable for multivariate analyses.
How can group-level analysis be performed with telerehabilitation data?
For pre-post evaluation of the same group, dependent sample t-test (or Wilcoxon) is applied. For comparison between different groups, independent sample t-test (or Mann-Whitney U test) is used.
How does missing data affect the analysis process?
SPSS can handle missing data by listwise or pairwise imputation methods. Missing Value Analysis module can be used if needed.
Can reliable analysis be performed with non-parametric data?
Yes. SPSS also offers strong support for non-parametric tests (Mann-Whitney, Kruskal-Wallis, Spearman Correlation, etc.). These tests are preferred when the sample size is small or normal distribution cannot be achieved.
If you are involved in neurologic rehabilitation research, writing a thesis, article, or clinical report, and need support with SPSS analysis, table production, academic language translation, interpretation of results, publication assistance, or report design for presentations, please contact us at https://kutupakademi.com/iletisim to consult with our experts.
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For neurologic rehabilitation research, SPSS analysis, and table production needs, please visit https://kutupakademi.com/spss-analizi-yaptirma for detailed information, sample analysis types, and pricing. For analysis tips, example studies, and updates on recent analyses, follow us on our Instagram page at https://instagram.com/kutupakademi.
