3700 ASSESS 5
Complete and submit the Assessment 5 worksheet.
Introduction
Note: The assessments in this course build upon each other. You are strongly encouraged to complete them in sequence.
Welcome to the final assessment of PSYC-FPX3700! In this assessment, we will delve into categorical data analysis and analysis of variance (ANOVA) methods, both of which are frequently used in psychological research.
First, we will explore categorical analyses, focusing on two essential statistical tests: the chi-square goodness-of-fit test and the chi-square test of independence.
- Chi-square goodness-of-fit test: This test determines whether the observed frequencies of a single categorical variable differ significantly from expected frequencies. It helps us understand if a sample comes from a specific distribution. For example, a psychologist might investigate whether the distribution of personality types (e.g., introverted, extroverted, and ambiverted) among a sample of students from one university matches the expected distribution based on national statistics.
- Chi-square test of independence: This test assesses whether two categorical variables are related to each other. For instance, a psychologist might examine whether there is an association between the level of stress (categorized as low, moderate, and high) and the type of coping strategy an individual tends to use (such as problem-focused, emotion-focused, and avoidance). By applying the chi-square test of independence, researchers can determine if the observed relationship is statistically significant or if it occurred by chance.
Next, we will cover ANOVA. If you read a lot of quantitative research studies, you will encounter various types of ANOVA. We will start by exploring the basic logic behind ANOVA and how it works. ANOVA helps us test hypotheses about group differences by partitioning the total variability in the data into components attributable to different sources. You will learn how to run an ANOVA in JASP and interpret the output, which is similar to the output produced by other statistical software and the formatting seen in published research articles. You will also learn about post-hoc tests, conducted after finding a significant ANOVA result to identify which specific groups differ from each other, and the assumptions of ANOVA. At the end of the chapter, more advanced forms of ANOVA will be introduced, including repeated measures ANOVA, factorial ANOVA, analysis of covariance (ANCOVA), and multivariate analysis of variance (MANOVA).
Congratulations on making it to the final assessment! Statistics is often viewed as a challenging and anxiety-provoking subject, but you’ve made it this far. Keep up the great work!
Overview
For this assessment you will conduct and interpret a chi-square test. You will also read a published research study that uses some form of an analysis of variance (ANOVA) and you will examine a graduate program or job posting in the social sciences that uses statistics.
Preparation
Before you begin this assessment, complete the following:
- Download the Assessment 5 Worksheet [DOCX].
- Download the Assessment_5_Data.csv file.
- For Part 2a, locate one of the articles listed in the assessment in the Capella University Library. See Finding Articles Using the Journals Tab [Video] for additional instructions.
- For Part 2b, locate a graduate program or job posting in the social sciences that uses statistics. This should be different from the program or career you used in the Assessment 1.
Instructions
Complete and submit the Assessment 5 Worksheet [DOCX].