Shared by 
Unlock all 24 pages
Get it free by sharing your own notes, buy just this one, or become a member and unlock documents with your plan.
How to unlock this document
Choose the way that suits you. Each one gives you all 24 pages to read online and the PDF to download.
Share your notes, unlock for free
2 free unlocks for every 5 approved uploads
- Upload your own lecture notes, assignments, essays or past papers
- PDF, Word, PowerPoint and Excel files all work, and you can send many at once
- We check each upload; you get a notification when it is approved
- Spend a free unlock on this document or any other, and keep it for good
- Shared under your public username, never your email
Then upload your notes from your profile.
Buy this document
$24 one-time payment
- All 24 pages of this document, yours to keep
- Download the PDF and read it any time, also offline
- No subscription and nothing to cancel
- Find it again any time under My Profile → Library
You log in or create a free account first, then pay securely.
Become a member
Unlock documents from the whole library, which keeps growing
- Choose any documents you like, up to your plan’s unlocks
- Documents you unlock stay yours, even if you cancel later
- Your unlocks start again with every renewal
- Secure checkout by Dodo Payments
You log in or create a free account first, then pay securely.
Compare the plansAlready a member, or bought this before? Log in to open it
About this document
- Pages
- 24 pages
- Price
- $24 one-time, yours to keep
- Membership
- Included in every plan
- Format
- Subject
- Research Methods, Statistics
This document guides you through the steps to input data in SPSS and perform Chi-square analysis. It includes detailed instructions for data entry and analysis, useful for anyone working on a research project that requires Chi-square tests.
What's inside
- Inputting data in the 'Data View' section
- Modifying variables in the 'Variable View' section
- Using Crosstab for data analysis
- Selecting Chi-square and Risk statistics
- Interpreting the results of the Chi-square analysis
Who it is for: Students who need to conduct Chi-square analysis using SPSS. (Undergraduate)
Share with classmates: WhatsApp Telegram X LinkedIn Facebook
Summary
SPSS software is used to carry out a chi-square analysis. Some research methods and statistical techniques are explained and applied, and SPSS is used to process the data.
Data input in SPSS
SPSS's Data View and Variable View are used to enter and label the data. The data is then processed using the Crosstab function. The Crosstab function requires the independent and dependent variables to be selected.
Research methodology
The research is a retrospective correlational study. The population and sample are defined. The population is all women who gave birth at home in a certain village during a 6-month period. The sample is all women who gave birth at home with the help of a health worker during the same period.
Data analysis
Data analysis includes descriptive statistics and inferential statistics. Descriptive statistics include measures of central tendency and measures of variability. Inferential statistics include hypothesis testing and estimation. The chi-square test is used to determine if there is a relationship between two categorical variables.
Data presentation
Data presentation includes text, tables, and graphs. Different types of graphs are used to present data, including bar graphs, pie charts, and histograms. Data presentation is used to summarize and communicate the results of the data analysis.
Key terms
- Chi-square
- A statistical test used to determine if there is a relationship between two categorical variables.
- Crosstab
- A function in SPSS used to create a contingency table and perform a chi-square test.
- Descriptive statistics
- Statistical measures that describe the main features of a dataset.
- Inferential statistics
- Statistical measures that are used to make inferences about a population based on a sample.
- Total sampling
- A sampling technique where the sample size is equal to the population size.
- Retrospective correlational study
- A type of research study that looks back in time to describe or explain a condition in a community.
Questions this document helps with
- What steps does SPSS need to carry out a chi-square analysis?
- What are the differences between descriptive statistics and inferential statistics?
- What kinds of graphs are used to present data in SPSS?
Summary written with AI from the document's text.
Ask the AI Teacher
Ask any question about this document or your course, and get a clear explanation.
Log in to ask Create a free account
Free accounts can ask 5 questions a day.