CandaceAre you interested in learning data analysis but don’t want to spend a fortune on courses or software? Look no further! In this post, we have compiled a list of 48 free video tutorials on “Data Analysis Using SPSS.” Whether you’re a beginner or an experienced data analyst, these resources will provide you with the knowledge and skills you need to analyze your data effectively.
1. Installation of SPSS
The first step in learning data analysis using SPSS is installing the software. This video tutorial will guide you through the installation process, ensuring that you have SPSS up and running on your computer.
2. Survey Data Entry in SPSS
Learn how to enter survey data into SPSS accurately. This tutorial will walk you through the process, ensuring that you understand the necessary steps to input your data correctly.
3. Importing the Data Entry (.xlsx or .csv) in SPSS
If you have your data entry in Excel or CSV format, this tutorial will teach you how to import it into SPSS. You’ll learn the steps to import your data seamlessly, allowing you to start analyzing it right away.
4. Importing the Data Entry (.txt) in SPSS
For those who have their data entry in a text file format, this tutorial will guide you through the process of importing it into SPSS. You’ll learn how to properly format your text file for a successful import.
5. Edit Menu in SPSS
The Edit menu in SPSS provides various options for manipulating and transforming your data. This tutorial will introduce you to the different features and functions available in the Edit menu, giving you the tools to clean and prepare your data for analysis.
6. Split File in SPSS
Splitting your data file can be useful when you want to perform separate analyses on different groups within your dataset. This tutorial will show you how to split your data file based on specific variables, allowing you to analyze subsets of your data.
7. Select Cases in SPSS
Learn how to select specific cases or observations from your dataset for analysis. This tutorial will teach you the different methods of selecting cases in SPSS, enabling you to focus on the data that is most relevant to your analysis.
8. Data Transformation in SPSS
Data transformation involves modifying or creating new variables based on existing ones. This tutorial will introduce you to the various data transformation techniques available in SPSS, empowering you to manipulate your data to suit your analysis needs.
9. Data Transformation with IF condition
In this tutorial, you’ll learn how to perform data transformation using the IF condition. This technique allows you to apply specific transformations to your data based on certain conditions, giving you greater flexibility in your analysis.
10. Count Values within Cases
Counting the number of occurrences of specific values within cases can provide valuable insights into your data. This tutorial will show you how to perform this analysis in SPSS, allowing you to understand the frequency of certain variables within your dataset.
11. Recode the variable in SPSS
Recoding variables involves changing the values or categories of a variable. This tutorial will guide you through the process of recoding variables in SPSS, enabling you to modify your data to better suit your analysis objectives.
12. Visual Binning
Visual binning, also known as histogram binning, is a technique used to group continuous variables into discrete categories. This tutorial will teach you how to create visual bins in SPSS, providing you with a clearer understanding of the distribution of your data.
13. OLAP cubes
OLAP (Online Analytical Processing) cubes are multidimensional data structures that allow for complex analysis and reporting. This tutorial will introduce you to OLAP cubes in SPSS, demonstrating their usefulness in analyzing data from different perspectives.
14. Case Summaries
Case summaries provide a quick overview of your data, including key statistics and distributions. This tutorial will show you how to generate case summaries in SPSS, giving you a comprehensive understanding of your dataset.
15. Custom Tables
Custom tables allow you to create customized tables with specific variables and statistics. This tutorial will teach you how to create custom tables in SPSS, enabling you to present your data in a clear and organized manner.
16. Multiple Response Sets
Multiple response sets are used when respondents can select multiple options in a survey question. This tutorial will guide you through the process of analyzing multiple response sets in SPSS, allowing you to understand the patterns and frequencies of different response combinations.
17. Generating Frequencies
Frequencies provide a basic understanding of the distribution of a variable. This tutorial will show you how to generate frequencies in SPSS, giving you insights into the occurrence and prevalence of different values within your dataset.
18. Generating Descriptive Statistics
Descriptive statistics summarize and describe the main characteristics of a dataset. This tutorial will teach you how to generate descriptive statistics in SPSS, providing you with a comprehensive overview of your data.
19. Simple Bar Chart
Bar charts are a visual representation of categorical data. This tutorial will show you how to create simple bar charts in SPSS, allowing you to visualize the distribution of your categorical variables.
20. Clustered Bar Chart
Clustered bar charts are used to compare multiple categorical variables simultaneously. This tutorial will guide you through the process of creating clustered bar charts in SPSS, enabling you to analyze the relationships between different variables.
21. Stacked Bar Chart
Stacked bar charts are useful for comparing the proportions of different categories within a single variable. This tutorial will teach you how to create stacked bar charts in SPSS, giving you insights into the composition of your categorical variables.
22. Pie Chart
Pie charts are a visual representation of the proportions of different categories within a variable. This tutorial will show you how to create pie charts in SPSS, allowing you to easily understand the distribution of your categorical data.
23. Histograms in SPSS
Histograms provide a visual representation of the distribution of continuous variables. This tutorial will guide you through the process of creating histograms in SPSS, enabling you to analyze the shape and spread of your data.
24. Normality Testing of the Data
Normality testing is used to determine if a variable follows a normal distribution. This tutorial will teach you how to perform normality testing in SPSS, allowing you to assess the suitability of parametric statistical tests for your data.
25. One sample t-test
The one sample t-test is used to compare the mean of a sample to a known population mean. This tutorial will show you how to perform a one sample t-test in SPSS, enabling you to make inferences about your sample based on the population mean.
These are just a few examples of the topics covered in the 48 video tutorials on “Data Analysis Using SPSS.” Whether you’re interested in hypothesis testing, correlation analysis, or regression analysis, these resources will provide you with the knowledge and skills you need to analyze your data effectively. So don’t hesitate to click on the links and start your journey towards becoming a proficient data analyst using SPSS!
I have uploaded 48 videos on “Data Analysis Using SPSS”.
1. Installation of SPSS: https://lnkd.in/dcGsKRfG
2. Survey Data Entry in SPSS: https://lnkd.in/dQypRje5
3. Importing the Data Entry (.xlsx or .csv) in SPSS: https://lnkd.in/ddudrVDu
4. Importing the Data Entry (.txt) in SPSS: https://lnkd.in/dFnrq6Ga
5. Edit Menu in SPSS: https://lnkd.in/dZAPcuHA
6. Split File in SPSS: https://lnkd.in/dEZWfexn
7. Select Cases in SPSS: https://lnkd.in/dt-GHcMf
8. Data Transformation in SPSS: https://lnkd.in/deRN6JjD
9. Data Transformation with IF condition: https://lnkd.in/d7tXVDH4
10. Count Values within Cases : https://lnkd.in/d4V336Zz
11. Recode the variable in SPSS: https://lnkd.in/dBr6V_dv
12. Visual Binning: https://lnkd.in/d4cVGQU4
13. OLAP cubes: https://lnkd.in/dWBRPXX3
14. Case Summaries : https://lnkd.in/d3p4rsEg
15. Custom Tables : https://lnkd.in/dDU8jgVV
16. Multiple Response Sets : https://lnkd.in/di74_Ax7
17. Generating Frequencies : https://lnkd.in/d2mDF9Q8
18. Generating Descriptive Statistics : https://lnkd.in/dd_Gagpz
19. Simple Bar Chart : https://lnkd.in/dHucxKhk
20. Simple Bar Chart : https://lnkd.in/dgPJU3xS
21. Clustered Bar Chart : https://lnkd.in/dXVK3Bmq
22. Clustered Bar Chart : https://lnkd.in/drrwVzUq
23. Stacked Bar Chart : https://lnkd.in/d8mucuvQ
24. Stacked Bar Chart : https://lnkd.in/dNib6atV
25. Pie Chart : https://lnkd.in/dV_MEydN
26. Histograms in SPSS: https://lnkd.in/dBEDhnej
27. Normality Testing of the Data : https://lnkd.in/dEuwitWY
28. One sample t-test : https://lnkd.in/dATykgcC
29. Independent Sample t-test : https://lnkd.in/dv_Y5zpq
30. Summary Independent Sample t-test : https://lnkd.in/dehqN8Uv
31. Dependent Sample t-test in SPSS: https://lnkd.in/d4sdkxqd
32. One Way ANOVA in SPSS: https://lnkd.in/dMq9uPZu
33. Two Way ANOVA in SPSS: https://lnkd.in/dNe8acg8
34. Chi-Square in SPSS: https://lnkd.in/dqRk-T8z
35. Multiple Response Analysis in SPSS: https://lnkd.in/dV7wrdM2
36. Correlation Analysis in SPSS: https://lnkd.in/dPFkmR7w
37. Partial Correlation in SPSS: https://lnkd.in/djwCDtnC
38. Spearmen Correlation in SPSS: https://lnkd.in/dBgJncFk
39. Phi-Coefficient in SPSS: https://lnkd.in/dj4iCW4p
40. Cramer’s V in SPSS: https://lnkd.in/dYBwjiRF
41. One Sample Kolomogorov Test in SPSS: https://lnkd.in/d3vUem8H
42. Mann Whitney U Test in SPSS: https://lnkd.in/d4e9vstJ
43. Kruskal Wallis H Test in SPSS: https://lnkd.in/d4p7Zx_e
44. Wilcoxon Signed Rank Test in SPSS: https://lnkd.in/d2p-GNaa
45. Regression Analysis in SPSS: https://lnkd.in/diJGb77G
46. Hierarchical Regression in SPSS: https://lnkd.in/dp9XmS3c
47. Factor Analysis in SPSS: https://lnkd.in/djvRSAxx
48. Analysing Likert Scale Data in SPSS: https://lnkd.in/dSYxqnRG
Candace
