Dave’s Crash Course in Statistics using SPSS 1.0 Classifying the different types of data There are four types of variables: nominal, ordinal, interval and ratio. Distinguishing between these types of variables is important, as several statistical tools may only be used for certain types of data. Nominal variables: where values are assigned to categories in no particular order. This assignment of values is arbitrary and holds no particular meaning or order to them. For example, “sex”
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Variables coding and Questions coding list for SPSS Serial | Questions | | Options coding | Demographics | 1 | Gender | | [ 1 ] Male | [ 2 ] Female | 2 | Age | | [ 1 ] 20-30 | [ 2 ] 31-40 | [ 3 ] 41-50 | [ 4 ] 50 and above | 3 | Qualification | | [ 1 ] PhD | [ 2 ] MS/ MPhil | 4 | Tenure | | [ 1 ] Less than 1 year | [ 2 ] 1 – 2 years | [ 3 ] 2 – 5 years | [ 4 ] 5 – 10Years | [ 5 ] 10 years & above | 5 | Sector | | [ 1 ] Public | [ 2 ] Private | [ 3 ]
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EDUC 812-D SPSS Worksheet 4 (ANCOVA) Click Link Below To Buy: http://hwcampus.com/shop/educ-812-d-spss-worksheet-4-ancova/ SPSS Worksheet 4: (ANCOVA) Instructions: Lesson 27 Exercise File 2 is located at the end of the chapter under the heading Exercises in your Green and Salkind textbook. Complete the exercise and then complete the worksheet below by filling in the blanks and answering the questions. H01: There is no significant difference among the depression scores of students
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SPSS Instruction Manual University of Waterloo Department of Statistics and Actuarial Science September 1, 1998 Table Of Contents Page Before Using This Manual……………………………………………………………………………….3 Introduction to SPSS……………………………………………………………………………………..4 SPSS Basics……………………………………………………………………………………………... 5 Tutorial 1: SPSS Windows.…………………………………………………………………………5 Tutorial 2: Starting A SPSS Session.……………………………………………………………...6 Tutorial 3: Getting Help on SPSS.………………………………………………………………… 6 Tutorial 4: Ending
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Task 2.3 Record and collect relevant data where appropriate Before even consider to you record the collect data, it is advisable to understand the type of data so as to be able to program into SPSS smoothly. There are basically three types of data: Ordinal data Ordinal data need not involve measurement. It relates only to the order in which the data is classified. For example, in UK academic awards, a good student will be classed as First. Next will be an Upper Second. Then a Lower Second
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Definition SPSS has scores of statistical and mathematical functions, scores statistical procedures, and a very flexible data handling capability. It can read data in almost any format (e.g., numeric, alphanumeric, binary, dollar, date, time formats), and version 6 onwards can read files created using spread sheet/data base software. It also has excellent data manipulation utilities. The following is a brief overview Benefit of spss Statistical analysis can be conducted using two main methods
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(email contact tkachwala@nmims.edu, Cabin number: 729, Mobile: 9869166393, Extension: 5871) | Pedagogy: 1. Use of problem solving for all the topics. 2. Use of Statistics in Practice / Case lets / Case studies. 3. Use of Software like Excel / SPSS. | Session Outline: | Session | Topic / Description | 1 | Introduction to Probability – Experiments, Assigning Probabilities, Some basic relationships of Probability Read ASW Chapter 4 or LR Chapter 4 | 2 | Theories of Probability
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Contoh Regresi Linier Sederhana dengan SPSS Artikel ini akan mengupas contoh regresi linier sederhana dengan SPSS menggunakan data regresi menggunakan data yang dipakai seperti pada perhitungan korelasi. Analisis regresi sederhana merupakan salah satu metodi uji regresi yang dapat dipakai sebagai alat inferensi statistik untuk menentukan pengaruh sebuahvariabel bebas (independen) terhadap variabel terikat (dependen). Regresi linear sederhana ataupun regresi linier berganda pada intinya memiliki
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Data Analysis in SPSS Jamie DeCoster Department of Psychology University of Alabama 348 Gordon Palmer Hall Box 870348 Tuscaloosa, AL 35487-0348 February 21, 2004 If you wish to cite the contents of this document, the APA reference for them would be DeCoster, J. (2004). Data Analysis in SPSS. Retrieved from http://www.stat-help.com/notes.html Heather Claypool Department of Psychology Miami University of Ohio 136 Benton Hall Oxford, OH 45056 All rights to this document are reserved Table of
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SPSS数据处理基础 [pic] [pic] 第1章 SPSS数据的录入 SPSS既是Statistical Package for the Social Science（社会科学统计软件包）的缩写，也是Statistical Product and Service Solution (统计产品与服务解决方案)的缩写，是世界上几大统计分析软件（SPSS、SAS、S-plus/R、STATA、GUASS）中使用最广泛，界面最友好，操作最方便的统计软件，其强大的功能和易掌握性对于非统计专业特别是经济和管理专业的学生和工作人员，是一个不可多得的统计分析和数据处理的好工具、好助手。本书将基于SPSS 17.0给读者介绍SPSS的强大功能，关于SPSS的安装和一般Windows应用软件没有什么不同，让我们从SPSS的基础——建立数据文件和录入数据开始吧。 1 SPSS数据文件的建立和数据录入 在本节中我们从一个简单例题入手，让读者了解SPSS是如何建立数据文件，以及如何录入数据的。
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