Data Analysis Explanation (SPSS)

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السلام عليكم كمهندسة في الاحصاء التطبيقي وخبيرة البرنام المذكور SPSS أنا قادرة على تنفيذ العمل المطلوب وفي الوقت المناسب وعلى فكرة التواصل. يكمن نتواصل عبر سكيب بالمباشر وباللغة العربية

Hi, I am Ibrahim, and I am an adept, statistician, I have great expertise in SPSS, and I can apply all the tests you require, as a plus I can recommend more tests to signify like Cronbach alpha, and factor loading. Looking forward to hearing from you. Regards, Ibrahim Anjum

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If you are looking for statistical analysis in SPSS, EVIEWS and STATA then I am here to assist you in your project.

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Chi-square test is used to analyze relationship between two categorical variables, or two continuous variable when these variables are not normally distribution. Chi-square test for independence, as its name suggests, test the hypothesis that two variables are independent or each other. In order words, are two variables related or not. In chi-square test, categorical variables can have two or more categories. There is only one assumption of chi-square test for independence. Minimum expected cell frequency should be 5 or greater. this assumption is tested while calculating observed and expected frequencies for each category. If any expected call frequency is less than 5, the category is merged into another category in order to remove the violation of this assumption. Correlation Matrix, Total Variance explained, and Component Matrix are part of exploratory factor analysis. Correlation matrix can be performed by go to analyze ->Data Reduction -> Factor. Click Extraction -> tick mark Correlation Matrix under Analyze. Correlation between each item should be greater than 0.3. It shows the factorability of the items, which the items are correlated with each other, since they belong to one variable. I can answer all your questions and explain every aspect of your analysis in depth. Please chat me for further discussion.

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