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SPSS vs. PSPP: Which statistical software is right for your thesis?
If you need to conduct statistical analyses for your Bachelor’s or Master’s thesis, you’ll probably find it difficult to avoid using statistical software. Two of the best-known programs are SPSS and PSPP. But which software is the best choice for you? In this article, we compare SPSS vs. PSPP, show you the advantages and disadvantages of both programs, and help you make the right decision for your thesis.
Exercise Project: Clean Data (Basic)
This exercise is designed to consolidate the basic operations of importing data, recoding items, and calculating scale means.
Practice project: Clean Data (intermediate)
📘 Scenario You conducted a short survey with 6 statements. Three items measure everyday stress, and 3 items measure recovery behavior. Some items are negatively worded and need to be reverse-scored.The scale ranges from 1 (strongly disagree) to 8 (strongly…
Exploratory Factor Analysis in SPSS
Imagine that you have collected a large amount of survey data with 30 questions on various psychological attitudes. You suspect that only a few underlying constructs, such as "achievement motivation" or "social desirability," lie behind them. This is where exploratory factor analysis (EFA) comes in: It helps you identify a smaller number of latent dimensions from a large set of observed variables. Here, we will look at how to implement it in SPSS.
Practice project: EFA interpretation
You conducted a survey with 10 items on job satisfaction. An exploratory factor analysis (EFA) was then conducted in R. First (just to be on the safe side), a few definitions: The following R output shows the most important results:…
R Syntax Practice Exercises (Easy)
Inhalt Task 1 Task 2 Task 3 Task 4 Task 5 Task 6 Task 7 Task 1 3 + 5 * 2 What is the result? Task 2 x <- c(4, 7, 2, 9)x What is the result? Task 3…
Practice project: Exploring data (intermediate)
Inhalt Aim of the exercise The data: ALLBUS 2021 The variables Your task Step by step through the task Solution video for R Step 1: Calculate measures of central tendency Step 2: Calculate measures of dispersion Step 3: Grouped analysis…
R Syntax Practice Exercises (Intermediate)
Inhalt Task 1 Task 2 Task 3 Task 4 Task 5 Task 6 Task 7 Task 1 x <- c(10, 20, 30, 40)x[x > 25] What is the result? Task 2 df <- data.frame(a = 1:3, b = c("a", "b",…
Exam questions on descriptive statistics (easy)
Inhalt Task 1 Task 2 Task 3 Task 4 Task 5 Task 1 # ────────────────────────────────────────────────────────────────# Task 1: Arithmetic Mean of a Small Group of Scores# We have 5 scores, calculate the mean, and interpret it.# ────────────────────────────────────────────────────────────────# 1. Create the datasetscores <-…
One-Sample t-Test in R
In this article, I’ll show you step by step how to perform a t-test with just one sample in R – a so-called one-sample t-test. It is useful whenever you want to compare the mean of a single group with a specific reference value.