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by ggma1989
Tue Nov 01, 2016 10:56 am
Forum: General
Topic: What analysis should i use?
Replies: 1
Views: 2053

What analysis should i use?

Hello,

I have a survey with items scored 0 - 4. There are over 200 items in it and I wish to do some data analysis to indicate some factors.

Any suggestion of how I should start? I have the files saved in SPSS.

Thanks!
by ggma1989
Sat Oct 22, 2016 11:53 am
Forum: SPSS Jobs
Topic: Need help with SPSS data analysis
Replies: 1
Views: 1023

Need help with SPSS data analysis

Hello, I have data collected from surveys (the same one) from two time points. The surveys were scored from 0 - 5 scales. They have already been correctly inputted into SPSS. Each time point has over 1000 participants. I need help analyzing the data to identify key factors (I will explain in detail ...
by ggma1989
Tue Oct 18, 2016 12:08 am
Forum: Output
Topic: Finding factors from a collected survey.
Replies: 0
Views: 505

Finding factors from a collected survey.

Dear all, I have a pool of data collected from over 1,000 participants. All of them filled out the same survey containing the same questions. The questions are all rated from 0 to 4. The data were collected at two time points. I want to do the following: 1. Identify a group of survey questions that ...
by ggma1989
Sat Sep 03, 2016 7:38 am
Forum: Data input
Topic: Removing Missing Data input (999)
Replies: 1
Views: 276

Removing Missing Data input (999)

Hey guys, I have a large data-set of over 10,000 participants. The data were obtained from surveys and during the input process, I have inserted missing variables as 999. Now that I have to run the data using AMOS, and I will have to remove the 999 missing data to adequately run the programs. That i...
by ggma1989
Sun Sep 21, 2014 2:29 am
Forum: Statistics for beginners
Topic: ANOVA assignment question
Replies: 1
Views: 581

ANOVA assignment question

Need some help with this stat question, please let me know where to start with this question, thank you in advance! For this problem, perform steps toward computing an ANOVA, showing the intermediate results as described below. Group 1: 32 37 26 29 36 22 35 31 Group 2: 31 38 35 40 26 38 36 36 Group ...

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