Reddit mentions of Discovering Statistics Using IBM SPSS Statistics, 4th Edition

I've always had a knack for the stuff. When I TAed graduate classes I found this book to be helpful in explaining some advanced statistical concepts in plain language. If you are specifically learning to use the SPSS program, this book is by far the best. Good luck!

I recommend Andy Field's book

I really like this book:
http://www.amazon.co.uk/Discovering-Statistics-using-IBM-SPSS/dp/1446249182/ref=as_li_tf_sw?&linkCode=wsw&tag=statihell-21

Fun to read, easy to understand, entertaining. What stats book is entertaining???

Discovering Statistics using SPSS
This is the type of book you want. It has good examples and straightforward commentary.

You could read the IBM manual OR you could buy this much more user friendly book:

http://www.amazon.com/Discovering-Statistics-using-IBM-SPSS/dp/1446249182

If you liked that... you'd also love "Discovering Statistics using SPSS" by Andy Field (the second title is "And Sex And Drugs And Rock N' Roll")

http://www.amazon.com/Discovering-Statistics-using-IBM-SPSS/dp/1446249182

Did you even try?

• What's Wrong
  
• Discovering Statistics
  
• Behavior
  
• Psychological Testing

Sure, the basics, but for advanced information gathering consider using SPSS. Andy Field gives a good introduction if you're interested.

Google Forms er bra og svarene dine vil bli lagret i et ark som kan lastes inn i SPSS. SPSS kjenner .sav, .csv og excel-varianter. Her er en video hvor Andy Field forklarer deg hvordan du kan gjøre det:

https://www.youtube.com/watch?v=nchjj4XzIWc

Den eneste begrensningen med Google Forms du må bekymre deg for er om du skal ha mer enn 400.000 respondenter og over 256 spørsmål. Dette er begrensningen på datasettet som vil bli laget i Google Spreadsheets. (Disse er ikke noe å undervurdere forresten.)

Fordi Google Forms er et gratis alternativ og jeg har aldri sett det mislyktes på grunn av for mye trafikk så anbefaler jeg det på det sterkeste. Jeg bruker Surveymonkey og Fluidsurveys på jobb og det har kun fordeler om du skal ha mer enn en halv million respondenter i en kort periode (f.eks en uke eller måned). Det koster også penger så jeg anbefaler Google forms.

Stats :) https://www.amazon.com/Discovering-Statistics-Using-IBM-SPSS/dp/1446249182/ref=sr_1_1?ie=UTF8&qid=1494420070&sr=8-1&keywords=statistics+using+spss
(also other versions if you/your school doesn't use SPSS)

I'm a graduate student who teaches an undergraduate statistics course, and I'm going to be brutally honest with you.


Because you have expressed a lack of understanding about what standard deviation is, I don't anticipate that you will be able to understand the advice that you receive here. I teach statistics at an undergraduate level. I teach standard deviations during week 1, and I teach ANOVA in the final 2 weeks. So, you are at least a full undergraduate course away from understanding the statistics you will need for this.

Honestly, you're probably in over your head on this and a few days spent on reddit aren't going to give you what you're looking for. Even if you're given the answers here, you'll need the statistical knowledge to understand what the answers actually mean about your data.


You have run an experiment, but the data analysis you want to do requires expertise. It's a LOT more nuanced and complex than you probably realized from the outset.


Some quick issues that I see here at a glance...

Mashing together different variables can make a real mess of the data, so the scores you have might not even be useful if you were to attempt to run an ANOVA (the test you would need to use) on them.

With what you have shown us in the post, we are unable to tell if group b's scores are higher because of the message they received or whether they just happen to be higher due to random chance. Without the complete "unmashed" dataset we won't be able to say which of the "mashed" measurements are driving the effect.


I have worked with honors students that I wouldn't trust with the analysis you need. Because you are doing this for work, you really should consider contacting a professional. You can probably hire a graduate student to do the analysis for a few hundred dollars as a side job.


If you really want to learn how to do it for yourself, I would encourage you to check out Andy Field's text book. He also has a YouTube Channel with lectures, but they aren't enough to teach you everything you need to understand. Chapter 11 is ANOVA, but you'll need to work your way up to it.

I'm late to the game on this one, but learning these programs cannot be stressed enough. Different institutions have different preferences for programs, so you may hear about MATLAB, SPSS, STATA, R, etc etc. Pick one and go for it. My personal suggestion is to begin with SPSS. It's very user friendly and a great kickoff program for getting your feet wet.

Your school may have stats classes where you'll learn SPSS or a program like it, but if you want to go at it on your own for a headstart, I suggest two things: the first, YouTube, FOREVER. There are a ton of helpful videos which take you step by step through the processes of using almost any program you can think of, and the best part is that YouTube is free.

The second is that it's never a bad idea to pick up a great book, a go to reference guide if you need it. Discovering Statistics Using SPSS is written by a great author who (shockingly) does not make the subject matter seem dry. I own the R equivalent and am looking to pick up the SPSS version soon because I liked it so much.

Costs of textbooks/stats reference books are high, I know. But for my preference, nothing beats having that go to reference item on your shelf. If you decide to start shopping around, you can ask around in /r/booksuggestions or /r/asksocialscience and see what others use to find the best book for you.

I highly recommend Andy Field's book Discovering Statistics Using IBM SPSS Statistics. He has a gift for simplifying complex statistical concepts. Additionally, you'll be learning to use SPSS, which is guaranteed to be useful in your graduate studies and career. Alternatively, he offers the same book for other statistical softwares.