Uploaded bySmriti Arora
spss for analysis.pptx
This document provides an overview of quantitative data analysis using SPSS. It discusses the objectives of analyzing how to enter data into SPSS and what statistical tests can be applied, including assessing normality, chi square, correlation coefficients, t-tests, and one-way ANOVA. It defines different types of variables that can be entered into SPSS and the three main types of data analysis: univariate, bivariate, and multivariate. Specific statistical tests are explained like independent t-tests, paired t-tests, correlation, chi square, Fisher's exact test, and one-way ANOVA. Steps for hypothesis testing and assessing normality are also outlined. Examples of transferring data from Excel and running analyses in SPSS are provided.
More Related Content
Similar to spss for analysis.pptx
spss for analysis.pptx
- 1. Quantitative Data Analysis usingSPSS Prof. (Dr.) Smriti Arora CON AIIMS Rishikesh 9th June 2022
- 2. •SPSS- Statistical Packagefor Social Sciences
- 3. Objectives • How tofill data in spss • Tests to be applied • Assessing normality • Chi square • Correlation Coefficient • T • One way Anova
- 4. Types of Variables Variables QualitativeQuantitative NOMINAL ORDINAL DISCRETE CONTINUOUS Categorical variables
- 5. • Nominal –blood group, gender, religion • Ordinal/ rank order- pain: mild, moderate, severe, anxiety, quality of life, attitude, stages of wound healing usually measured by Likert scale • Discrete – no. of children, no. of chairs or beds • Continuous- weight, height, BMI, Hemoglobin
- 6. Three Ways ofData Analysis (For any data from any specialty / discipline) 1. Uni-variate analysis 2. Bi-variate analysis: (Cat, Cat) (Cat, Quant) (Quant, Quant) 3. Multi-variate analysis May decide to perform one or all of the above depending on the need There is no other way of data analysis
- 7. Inferential Statistics Parametric testsNonparametric tests • Used when data is- normal • Includes comparisons of means • Used for continuous data • Probability sampling • Parametric tests usually have more statistical power than nonparametric tests. • T test, ANOVA, regression analysis, Correlation Coefficient • Non normal • Comparison of Medians • Used for categorical (nominal, ordinal or discrete) data • Non probability sampling • Kruskal Wallis, Mc Nemar, Man Whitney U, Friedman test
- 8. Hypothesis testing procedure •State null hypothesis • Determine level of significance: 0.05 or 0.01 • Select the test statistic • Compute the test statistic • Calculate degrees of freedom • Compare test value with tabled value.
- 9. X- Independent variable,Y – Dependent variable
- 13. Knowledge Categorical • Inadequate • Moderately adequate •Adequate Ordinal • 1 • 2 • 3 • 2 • 3 Quantitative • 20.5 • 32 • 53.9 • 34 • 56.5 1- 0-30- Inadequate 2- 31-50- moderately adequate 3- 51-100- adequate Min score – 0, maximum score - 100
- 16. Entering variables • Name •write in letters, no space or special characters, only underscore is allowed • Knowledge • knowledge_pretest • Knowledge pretest • Know ledge! • Type • Numeric variables – numbers • String – names • Width- 8 • Label- spaces and special characters are allowed • Values – eg for pain (1- mild, 2- moderate, 3 severe)
- 21. Data analysis –descriptive
- 23.
- 24. Assessing normality • Analyze •Descriptive statistics • Explore • Plots , normality tests, Histogram • P value should be above 0.05 • https://www.youtube.com /watch?v=2GRZ_d4ftoo
- 26. Knowledge is normallydistributed among male and females ?
- 28. Chi Square • Categoricalvs categorical • Fisher Exact- used when observed frequency is less than 5 in any cell • E.g. Association between gender and pain
- 29. Chi square • Descriptive statistics •Crosstabs • Exact • Statistics • Chi square
- 31.
- 32. Correlation, Pearson’s • Analyse •Correlation • Bivariate
- 34.
- 35. T test • Analyse •Compare means • Paired sample t test
- 39. Independent t test •Analyze • compare means • Independent t test • Test variable – knowledge • Grouping variable – gender or exp /control group
- 41.
- 42. One way Anova •Analyse • Compare means • One way Anova • Options- Descriptive • Example between pretest knowledge and different categories of religion
- 45. Transferring data fromexcel to spss
- 46. Transferring data fromexcel to spss
- 47. Summary • Statistical Packagefor the Social Sciences is a versatile and responsive program designed to undertake a range of statistical procedures.
- 48.