PSYC- FPX 3700 ASSIG # 2
Introduction
Note: The assessments in this course build upon each other. You are strongly encouraged to complete them in sequence.
Our second assessment will cover data visualizations and begin exploring inferential statistics with sampling distributions and confidence intervals.
In the first half of this assessment, we will delve into various techniques for visually representing data, making it easier to understand and interpret. Data visualization is a crucial skill in statistics, as it allows us to identify patterns, trends, and outliers that might not be immediately apparent from raw data.
For psychology majors, data visualization is particularly vital. It enhances understanding, communication, and the ability to identify patterns and trends in complex data. Visualizations make data more accessible and easier to interpret, which is essential in psychology, where researchers often deal with large datasets or subtle differences between groups. Effective visualizations help communicate findings clearly and effectively to various audiences, including fellow researchers, practitioners, and the general public.
In the second half of this assessment, we will learn about sampling distributions and confidence intervals. This marks the beginning of our exploration of inferential statistical methods, which will be the focus for the remainder of the course. Inferential methods use data from a sample to make conclusions about the larger population.
Consider a scenario where a large university wants to understand the average number of hours students spend on social media per day. Since surveying all students isn't feasible, they survey a representative sample of 100 students. Using the concepts of sampling distributions and confidence intervals, the researchers can estimate the average social media usage for the entire student body and determine the precision of their estimate. This information is crucial for developing programs to promote healthier social media habits among students.
Overview
For this assessment, you will demonstrate your ability to use JASP to construct graphs. You will also demonstrate your ability to interpret graphs. Finally, you will demonstrate your understanding of sampling distributions and confidence intervals.
Preparation
Before you begin this assessment, complete the following:
- Download the Assessment 2 Worksheet [DOCX]. ** I will attach
- Download the GSS_30s.csv file. **** I will ayyach
- These data were extracted from the General Social Service (GSS). https://capella.alma.exlibrisgroup.com/leganto/pub...
- In this file, data were limited to individuals between the ages of 30 and 39 who completed the survey in 2022.
- Download the Assessment_2_Data.csv file. *** I WILL attach
Instructions
Complete and submit the Assessment 2 worksheet.
Competencies Measured
By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and scoring guide criteria:
- Competency 1: Communicate research findings using data visualizations.
- Interpret a graph in simple terms for a non-statistical audience.
- Interpret a graph for an audience with an advanced background in statistics.
- Competency 3: Conduct statistical analyses to address research questions in the social sciences.
- Construct a univariate graph in JASP.
- Construct a bivariate graph in JASP.
- Construct a graph in JASP.
- Compute descriptive statistics in JASP.
- Construct a confidence interval using JASP.
- Competency 4: Determine the generalizability of specific findings based on parameters of the research design.
- Identify the population to which the confidence interval can reasonably generalized.
- Competency 7: Explain the results of statistical analyses in common language.
- Report descriptive statistics and a confidence interval in APA style.