Chapter 3: Visual Displays of Data Flashcards

1
Q

Techniques for Misleading with Graphs

A

False Face Validity Lie - Occurs when the method seems to represent what it says, but when we did a little deeper, it does not
Biased Scale Lie - Slants information in a particular way
The Sneaky Sample Lie - when people who participate in a study are preselected in such a way that the data turn out in a particular way
The Interpolation Lie - There is an unreasonable number of in-between data points being reported
The Extrapolation Lie - Assumes knowledge of information outside the study
The Inaccurate Values Lie - Sometimes involves telling the truth in one part of the data but visually distorting it in another place
The Outright Lie - Lying for the sake of producing a specific number

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2
Q

Types of Graphs

A

Scatterplot, Line Graphs, and Bar Graphs

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3
Q

Scatterplot

A

A graph that depicts the relation between two scale variables. The values of each variable are marked along the two axes. A mark is made to indicate the intersection of the two scores for each participant. The mark is above the participant’s score on the x-axis and across from the score of the y-axis.

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4
Q

Similarity between scatter plots and line graphs

A

They are both used to depict relations between two scale variables

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5
Q

Range Frame

A

A scatterplot or related graph that indicates the range of the data on each axis; the lines extend only from the minimum to the maximum scores

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6
Q

How to create a scatterplot

A
  1. Organize the data by participant; each participant will have two scores, one on each scale variable
  2. Label the horizontal x-axis with the name of the independent variable and its possible values, starting with 0 if practical
  3. Label the vertical y-axis with the name of the dependent variable and its possible values, starting with 0 if practical
  4. Make a mark on the graph above each study participant’s score on the x-axis and next to his or her score on the y-axis
  5. To convert to a range-frame, simply erase the axes below the minimum score and above the maximum score
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7
Q

Linear Relation

A

The relation between variables is best described by a straight line

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8
Q

Nonlinear Relation

A

Best described by a line that breaks or curves in some way

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9
Q

Line Graph

A

Used to illustrate the relation between two scale variables; sometimes the line represents the predicted y scores for each x value, and sometimes the line represents change in a variable over time

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10
Q

Line of best fit

A

Allows us to use the x value to predict the y value

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11
Q

Time Plot or Time Series Plot

A

A graph that plots a scale variable on the y-axis as it changes over an increment of time (second, day, century) labeled on the x axis; possible to graph several scale variables at the same time so the viewer can compare the trends of two or more variables over time

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12
Q

Steps to Create a Time Plot

A
  1. Label the x-axis with the name of the independent variable and its possible values. The independent variable should be an increment of time
  2. Label the y-axis with the name of the dependent variable and its possible values, starting with 0 if practical
  3. Make a mark above each value on the x-axis at the value for that time on the y-axis
  4. Connect the dots
  5. To convert to a range-frame, erase the y-axis below the minimum y value and above the maximum y value
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13
Q

Bar Graphs

A

Visual depictions of data when the independent variable is nominal or ordinal and the dependent value is a scale. Each bar typically represents the average value of the dependent variable for each category; highlight differences between averages and percentages

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14
Q

Pareto Chart

A

Type of bar graph in which the categories along the x-axis are ordered from the highest bar on the left to the lowest bar on the right

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15
Q

Pictorial Graph

A

Visual depiction of data typically used for an independent variable with very few levels and a scale dependent variable. Each level uses a picture or symbol to represent its value on the scale dependent variable

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16
Q

Pie Chart

A

Graph in the shape of a circle with a slice for every level of the independent variable. The size of each slice represents the proportion (or percentage) of each category

17
Q

What graph to use if there is one scale variable (with frequencies)

A

Histogram or a frequency polygon

18
Q

What graph to use if there is one scale independent variable and one scale dependent variable

A

Scatterplot or a line graph

19
Q

What graph to use if there is one nominal or ordinal independent variable and one scale dependent variable

A

Bar graph or a pareto chart

20
Q

Chartjunk

A

any unnecessary information or feature in a graph that detracts from a viewer’s ability to understand the data

21
Q

Dependent Variable

A

Variable researchers are trying to predict

22
Q

Independent Variables

A

What variables did the researchers use to predict the dependent variables