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# Types of Graphic Organizer & Data Analysis

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@CongenialConstellation

### What is the second step in the 5-step process of qualitative data analysis?

Review and explore the data

Highlighters

### Which step focuses on identifying recurring themes, language, opinions, and beliefs?

<p>Review those codes and revise or combine into themes</p> Signup and view all the answers

### What should be considered when presenting themes in a cohesive manner?

<p>Audience, purpose of the study, and content relevance</p> Signup and view all the answers

## Study Notes

### Types of Graphic Organizer

• Visual thinking tools that help organize information and ideas to easily comprehend and internalize data.

### Descriptive Statistics

• Summarizes or describes characteristics of a data set.
• Measures of Central Tendency:
• Mean: Average of a data set.
• Median: Middle value in a data set.
• Mode: Number that occurs most often in a data set.
• Measures of Variability:
• Provide descriptive information about the dispersion of scores within a data set.
• Standard Deviation: Measures the amount of dispersion.

### Types of Graphs

• Line Graph:
• To show trends.
• To make predictions.
• To compare two or more variables, different variables, situations, and information over a given period of time.
• Bar Graph:
• To compare several categories of data.
• Frequency of Distribution:
• Ideal for visualizing the distribution of data when we have more than three categories.
• Frequency of a value is the number of times it occurs in a dataset.
• Pie Chart:
• Easy-to-understand ‘pie-slice’ format and illustrates numerical proportion.
• Breaks down a group into smaller pieces.
• Shows part-whole relationships.
• Histogram:
• Shows continuous data in ordered rectangular columns.
• There are no gaps between the columns.
• Compares categories.
• Venn Diagram:
• Uses overlapping circles to visualize the logical relationships between two or more groups of items.

### Test Statistics

• One Sample T-Test:
• Used to determine whether an unknown population mean is different from a specific value.
• Paired Samples T-Test:
• Compares the means of two measurements taken from the same individual, object, or related units in order to measure the significant difference.
• Independent Samples T-Test:
• Compares the means of two independent groups in order to determine whether there is statistical evidence that the associated population means are significantly different.
• One-Way ANOVA Test:
• To determine whether there are any statistically significant differences between the means of three or more independent (unrelated) groups.

### APA 7th Edition Format for Tables and Figures

• Tables:
• Present information or numbers in rows and columns.
• Vary in size and structure depending on the given data.
• Figures:
• Any images used within the text, including data visualization graphics like graphs, diagrams, flowcharts, photographs, and artworks.
• Types of Notes:
• General Notes:
• Come first and preceded by the word “Note” in italics, followed by a period.
• Specific Notes:
• Refer to specific points in the table or figure.
• Probability Notes:
• Give p-values for the data in the table or figure.

### Qualitative Data Analysis

• 5-Step Process:
1. Prepare and Organize Your Data:
• Print out transcripts, gather notes, documents, or other materials.
1. Review and Explore the Data:
• Read the data to get a sense of what it contains.
1. Create Initial Codes:
• Use highlighters, notes in the margins, sticky pads, concept maps, or anything that helps connect with the data.
1. Review Those Codes and Revise or Combine into Themes:
• Identify recurring, frequent, or repetitive themes, language, opinions, and beliefs.
1. Present Themes in a Cohesive Manner:
• Consider the audience, purpose of the study, and what content should be included to best tell the story of the data.

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## Description

Explore different types of graphic organizers and quantitative data analysis techniques. Learn about statistical treatments, including descriptive statistics such as measures of central tendency and variability. Enhance your visual thinking skills to organize and comprehend data effectively.

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