Spss With Syntax - Fundamentals And Big 5 Tests




What you'll learn
Run, interpret and report the 5 most popular statistical techniques in SPSS correctly
Create perfect APA style tables for these analyses with very little effort
Work with real-life data files and detect and fix common problems such as missing values, outliers and string variables
Perform a wide variety of SPSS tasks with syntax and deliver complete and well-documented projects to your instructors or clients
Requirements
A laptop with a normal keyboard (no tablet or smartphone)
SPSS (possibly a free trial version), preferably version 27 or higher
A spreadsheet editor, preferably Excel or otherwise Libreoffice or Googlesheets
Very basic knowledge of statistics (measurement levels, mean, standard deviation, ...)
Description
In this course, you'll learn everything you need to know for successfully completing data analysis projects in SPSS ("IBM SPSS Statistics").Whether you're a Bachelor's or Master's student working on your thesis or a professional in market research, this course will show you how to get things done in SPSS the right way.This starts off with mastering some fundamentals such asthe basics, tips & tricks for the data editor, syntax and output windows;how to paste, run, edit & save SPSS syntax and why even do so in the first place;how to screen your data file and fix any issues you may encounter?Most other SPSS courses completely ignore these fundamentals and use only nicely prepared, problem-free data files. Sadly, this doesn't prepare you for working with real-life data because these usually contain issues such asmissing valuesstring variablesoutliersreverse coded variableslong variable names and absence of variable and/or value labels.In this course, you'll quickly learn how to detect and fix any data complications the right way before you proceed to the actual data analyses.After this data preparation section, I'll cover the 5 most sought-after statistical analyses (the "big 5 statistical tests") which are1. the chi-square independence test2. the independent samples t-test3. ANOVA (analysis of variance)4. (Pearson) correlations5. multiple linear regression analysis.You'll learn how to run, interpret and report each of these tests correctly and completely. In contrast to most other courses, I'll also coverwhich test is suitable for which research question;how to evaluate if you meet the assumptions required for each test;which effect size measures are applicable with Cohen's (1988) rules of thumb for small, medium and large effectshow to visualize the major trends in your data with charts.After successfully running some test(s), you may need to report your results in APA style. In this course, you'll learn how to create perfect APA tables with minimal time and effort by usingsome handy SPSS tools & tricks for getting the right table contents and layout;Excel or Googlesheets for styling your tables (numeric formats, alignment, row heights);WORD or GoogleDocs for column widths, titles and final reporting.Are you looking for the one course that shows how to deliver outstanding SPSS work with minimal time and effort?Look no further.See you in the course!Ruben (founder, SPSS tutorials)
Overview
Section 1: Course Introduction
Lecture 1 SPSS - Quick Introduction & Overview Main Features
Lecture 2 Quick Course Overview
Lecture 3 Which Lectures Do You Need?
Section 2: Exploring SPSS
Lecture 4 Customizing SPSS
Lecture 5 SPSS Data Editor Window
Lecture 6 SPSS Syntax Editor Window
Lecture 7 SPSS Output Viewer Window
Section 3: SPSS Tools
Lecture 8 SPSS Clone Variables Tool
Lecture 9 SPSS Recode with Value Labels Tool
Lecture 10 SPSS - Create All Scatterplots Tool
Section 4: SPSS Data Preparation
Lecture 11 SPSS Missing Values Tutorial
Lecture 12 Set up Project Folder and Open Data File
Lecture 13 SPSS Data File Inspection
Lecture 14 Screening Categorical Variables
Lecture 15 Screening Quantitative Variables
Section 5: Big 5 Statistical Tests
Lecture 16 Big 5 Statistical Tests - Introduction
Lecture 17 Chi-Square Independence Test in SPSS
Lecture 18 Correlation Analysis in SPSS
Lecture 19 Independent Samples T-Test in SPSS
Lecture 20 SPSS ANOVA with Post Hoc Tests
Lecture 21 Multiple Linear Regression Analysis in SPSS
Section 6: APA Style Tables in SPSS
Lecture 22 APA Style Contingency Tables in SPSS
Lecture 23 APA Style Correlation Tables in SPSS
Lecture 24 APA Style T-Test Tables in SPSS
Lecture 25 APA Style ANOVA Tables in SPSS
Lecture 26 APA Style Regression Tables in SPSS
University students (bachelor's, master's or PhD) who need to write their theses,Professionals in fields such as market or policy research,Researchers working in a wide variety of governmental institutions



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