Inspiration

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Welcome to iPrep=E2=80=99s Matrigma Course.

This cours=
e will help you upgrade your matrix-solving skills in less than two hours!

Through this course, you will quickly review the essentials of ma=
trix-solving strategies and understand what to expect on the Matrigma, a ma=
trix-based test.

The course is comprised of both practice and lea=
rning sessions. But first, you will go through a sample test to get a feel =
for the challenge ahead. In it, you will solve questions within a time limi=
t. Once done, you will have the option to review your answers and question =
explanations.

Following the test experience, we will guide you th=
rough learning lessons with essential information about your upcoming Matri=
gma test. These lessons will help you understand the underlying techni=
cs that are essential for succeeding in the test.

The course is t=
hen concluded by simulating a full-length test that accurately follows the =
structure and concepts of the Matrigma Test. Once done, you will be able to=
get a test summary and even see how well you performed in comparison to ot=
her people who have taken the test.

Wishing you an enjoyable lear=
ning experience!

Let=E2=
=80=99s begin by understanding =E2=80=93 what are inductive reasoning and a=
bstract reasoning, and how are these concepts relate to Matrigma.

Inductive Reasoning tests are tests that assess your ability to get to the=
right conclusion based on a series of events or examples. Unlike deductive=
reasoning tests, in which you get to the conclusion based on a given set o=
f rules, on inductive reasoning tests you assume what are the rules or logi=
c that govern the set of examples, and then you find the correct answer bas=
ed on your assumptions.

Abstract Reasoning tests are tests that u=
sually follow inductive reasoning concepts and are usually non-verbal in na=
ture =E2=80=93 they use figural and symbolic elements rather than using num=
bers and words.

Matrigma is an abstract reasoning test that asses=
ses your ability to identify patterns through a series of nine elements org=
anized in a 3X3 matrix. You are not provided with the logic that governs th=
e organization of the matrix. You are supposed to decipher the logic with y=
our inductive reasoning skills and find the missing element.

The =
two basic skills you use for finding the underlying logic of the matrix are=
:

1. Finding the next element based on a series of given elements=
.

2. Ruling out possible rules by observing elements that do not =
follow the specific logic.

You will now experience these skills b=
y taking a 16-question practice drill. On the first eight questions, you ar=
e given a series of elements and you need to find the next element of the s=
eries based on your assumption of the governing logic. On the last eight qu=
estions, you are given five elements. You need to find the element that doe=
sn=E2=80=99t follow the same logic as the rest of the elements.

Y=
ou have 15 minutes to complete all 16 questions. You can submit the test at=
any given point by clicking =E2=80=9CTest Summary=E2=80=9D, even without c=
ompleting all the questions. Upon completion, click on =E2=80=9CView Questi=
ons=E2=80=9D to see the problems=E2=80=99 answers and explanations.

Each of the problems in the Mat=
rigma test presents a 3X3 matrix that includes eight visible elements and a=
single missing element at the bottom-right corner of the Matrix.

Below the matrix, you will see six additional elements, marked with the le=
tters A-F. The missing element of the matrix is always found among these si=
x options.

The matr=
ix is always organized according to some underlying logical structure. Your=
goal is to uncover this logical pattern. For tutorial purposes, we will al=
ways refer to the elements of the matrix as a number between 1 and 9, where=
1 represents the top left element and 9 represents the bottom-right (missi=
ng) element.

Each matrix is gover=
ned by at least one logical feature, but it can also be governed by several=
. In most cases, for each of the features, the elements of the matrix are d=
ivided into three groups of three. The logical features are realized differ=
ently in each of the three groups of elements. Most commonly, the features =
would change according to these structural Organization:

Logic by=
Rows

The feature is realized differently on the top row, the mid=
dle row, and the bottom row. These rows are also interchangeably referred t=
o as the first row, the second row, and the third row.

Logic by Columns

The feature is realized differently in=
the left column, the middle column, and the right column. These columns ar=
e also interchangeably referred to as the first column, the second column, =
and the third column.

Logic by Diago=
nals

It is less intuitive to think of the matrix is a group of th=
ree diagonals, yet, it is. It is also less intuitive to seek the underlying=
logical patterns by examining the diagonals of the matrix; yet, the more c=
omplex problems usually use this structure.

The 1-5-9 Diagonal

The name of the diagonal is comprised of the numbers of the two vis=
ible elements (1,5) according to which you would be able to determine how t=
he feature is realized on the missing element (9). These three elements for=
m the diagonal from top-left to the bottom-right.

The 2-4-9 Diagonal

The name of th=
e diagonal is also comprised of the numbers of the two visible elements (2,=
4) according to which you would be able to determine how the feature is rea=
lized on the missing element (9). You would be able to notice this structur=
e if you see the same feature on elements 3-5-7, which comprise the diagona=
l from the top-right to the bottom-left.

Random Organization

At times the differenc=
es between the features are not distributed in one of the above-mentioned o=
rganized fashion. Nonetheless, it is still possible to identify versions of=
the same feature, repeated on three separate elements of the matrix twice,=
and on two elements once. The missing element will follow the version that=
is reflected through the two visible elements. Here are two examples of ra=
ndom distribution of the matrix. Obviously, there are additional possible r=
andom organizations.

Example =E2=80=93 A Matrix with 5 Different Features

The fol=
lowing matrix consists of five (!) different features that determine the ap=
pearance of each element.

Take a minute to identify all the diffe=
rent features and then scroll down to review them:

<img class=
=3D”alignnone size-full wp-image-3708″ src=3D”https://iprep.online/wp-conte=
nt/uploads/2018/10/Mat_intro-Sample.png” alt=3D”” width=3D”436″ height=3D”4=
28″ srcset=3D”https://www.iprep.online/wp-content/uploads/2018/10/Mat_intro=
-Sample.png 436w, https://www.iprep.online/wp-content/uploads/2018/10/Mat_i=
ntro-Sample-300×294.png 300w” sizes=3D”(max-width: 436px) 100vw, 436px” /&g=
t;

Were you able to identify =
all five features?

#1 The format of the shapes differs by rows.

#2 The orientation of=
the shapes differs by columns.

#3 The outline of the shapes differs by the 1-5-=
9 diagonal.

#4 =
The number of shapes differs by the 2-4-9 diagonal.

#5 The outline of the frames also appe=
ars in three different versions which are distributed randomly across the m=
atrix.

Rea=
dy to experience some matrix solving? Move on to the next section!

The Basic Logical Features of th=
e Matrix

If you have completed the matrix solving warmup, you are=
probably already aware of the fact that there are various types of feature=
s and processes that can be found within the Matrigma matrices.

N=
otice that all of these types may be and are usually combined together.

Here is a quick review of the most common alterations and processes =
one can identify in a matrix across its rows, columns, and diagonals.

Color/Fill/Pattern Change

Elements can completely or partial=
ly change their color. Different parts of an element may be filled differen=
tly, either with a solid fill or patterned fill. These parts may change acc=
ording to their specific governing logic. Example: Three types of shapes ap=
pear within the matrix below =E2=80=93 each of them appears three times and=
on each time the shape is filled with a different pattern.

<i=
mg class=3D”alignnone size-full wp-image-3696″ src=3D”https://iprep.online/=
wp-content/uploads/2018/10/Mat_intro-color.png” alt=3D”” width=3D”369″ heig=
ht=3D”366″ srcset=3D”https://www.iprep.online/wp-content/uploads/2018/10/Ma=
t_intro-color.png 369w, https://www.iprep.online/wp-content/uploads/2018/10=
/Mat_intro-color-150×150.png 150w, https://www.iprep.online/wp-content/uplo=
ads/2018/10/Mat_intro-color-300×298.png 300w, https://www.iprep.online/wp-c=
ontent/uploads/2018/10/Mat_intro-color-100×100.png 100w” sizes=3D”(max-widt=
h: 369px) 100vw, 369px” />

Number of Elements & Number of =
Features

Different elements may contain a different number of sha=
pes, and some underlying logic can govern that. Besides the total number of=
shapes per element, you may notice differences in the number of shapes wit=
h certain features. Here are a few common shape features and patterns:

The number of edges of a polygon

The number o=
f curved vs. straight lines

The number of shapes within or=
outside of other shapes

The number of lines

In =
the matrix below, the number of shapes in each row is equal. The number of =
white shapes decreases from top to bottom, while the number of gray shapes =
remains the same.

Rotation and Flipping

Rotation is a very common change. Usuall=
y, the entire element rotates, but it is possible for different parts of th=
e elements to rotate differently.

The elements can rotate clockwi=
se or counterclockwise. Usually, the latter is a little bit more difficult =
to perceive. The rotation may vary but is usually done in constant jumps of=
45, 90 and 180 degrees.

A flip, unlike rotation, entails a mirro=
ring effect. Shapes may either flip vertically or horizontally. If a shape =
is symmetrical, the flip might be mistakenly perceived as a 180 degrees rot=
ation. Make sure to double-check an observation of a 180-degree flip throug=
h the entire matrix.

The matrix below follows a logical pattern b=
y columns. From top to bottom, it demonstrates a 90-degree counterclockwise=
rotation.

Position and =E2=80=9CMovement=E2=80=9D

Certain aspects of =
the element may =E2=80=9Cmove=E2=80=9D and seem different between one item =
to another. Some examples of such changes:

Shapes getting =
closer or farther away from one another, including partial overlap or cover=
age

Graph column increases or decreases in height

Shapes slightly =E2=80=9Center=E2=80=9D the frame or =E2=80=9Cexit=
=E2=80=9D the frame and partially disappear

Shapes move al=
ong the frame of the element

Shapes become thinner or thic=
ker

Two types of =E2=80=9Cmovement=E2=80=9D can be identified in =
the matrix below. From left to right, the black area expands and pushes off=
the gray area. From top to bottom, the top-left and the bottom-right=
corners gradually disappear.

Shape Format Changes

The shapes within e=
ach element may change in different manners:

The entire sh=
ape changes (e.g. squares change to circles)

Lines change =
their style (solid/dashed/compound), thickness or end type (none/arrowhead/=
bullet)

A specific part of the shape disappears or appears=
.

In the matrix below, all the elements of each column are of the=
same type. The shapes in the middle row are regular shapes. The shapes of =
the top row maintain the width of the regular shapes but are not as high as=
the regular shapes. The shapes of the bottom row maintain the height =
of the regular shapes but are not as wide as the regular shapes.

=
<img class=3D”alignnone size-full wp-image-3709″ src=3D”https://iprep.on=
line/wp-content/uploads/2018/10/Mat_intro-shape.png” alt=3D”” width=3D”369″=
height=3D”366″ srcset=3D”https://www.iprep.online/wp-content/uploads/2018/=
10/Mat_intro-shape.png 369w, https://www.iprep.online/wp-content/uploads/20=
18/10/Mat_intro-shape-150×150.png 150w, https://www.iprep.online/wp-content=
/uploads/2018/10/Mat_intro-shape-300×298.png 300w, https://www.iprep.online=
/wp-content/uploads/2018/10/Mat_intro-shape-100×100.png 100w” sizes=3D”(max=
-width: 369px) 100vw, 369px” />

Unique Matrix Structures

=E2=80=9CThe 4 Building Blocks=E2=80=9D

In many cases, the e=
lements of the matrix do not just present different realization of features=
but undergo an internal process, which repeats itself either across the ro=
ws of the matrix, across the columns of the matrix, or across both rows and=
columns.

Usually, the process can be described by a certain inte=
raction that =E2=80=9Chappens=E2=80=9D between the elements of the top and =
the middle rows or those of the left and middle columns. We call these elem=
ents =E2=80=9Cbuilding blocks=E2=80=9D.

When the interaction happens acr=
oss both rows and columns, we get =E2=80=9Cthe 4 building blocks=E2=80=9D =
=E2=80=93 elements 1, 2, 4, 5. In this case, the newly formed elements of t=
he right column and the bottom row dictate the missing element =E2=80=93 el=
ement 9. In fact, the missing element can be =E2=80=9Cbuilt=E2=80=9D direct=
ly from elements 1,2,4,5, but it is usually easier to construct it with the=
elements of the right column and bottom row.

The nature of the interaction may vary =E2=80=93 buil=
ding blocks may combine to form a new shape, may change the color of one an=
other, may cause certain parts of the element to disappear and so on.

Examples

Here are three examples of matrices built according=
to the =E2=80=9Cbuilding blocks=E2=80=9D logic:

Example 1 =E2=80=
=93 The top two rows are the building blocks. Combined, they create the ele=
ments of the bottom row.

Example 2 =E2=80=93 The left and middle =
columns are the building blocks =E2=80=93 if they share a line, it doesn=E2=
=80=99t appear on the element of the right column. Only the lines that uniq=
uely appear on one of the building blocks, appear on the right column.

Example 3 =E2=80=93 =E2=80=9CThe 4 Building Blocks=E2=80=9D. El=
ements 1,2,4,5 combine to create the right column and bottom row. The newly=
created elements then act as building blocks and form element 9.

=E2=80=9CThe Diagonal Wave=E2=80=9D

Let=E2=80=99s consider =
the top-left element (element 1) as the starting point. The same change occ=
urs between elements from left to right and between elements from top to bo=
ttom. The product of this process is a matrix that changes like a wave, fro=
m the top-left corner (element 1) to the bottom-right corner (element =
9). In this case, the initial and the missing element are both unique. This=
process is similar to that of finding the next element in a series of shap=
es.

While it is less common, yet possible, the =E2=80=9Cwave=E2=
=80=9D of changes can occur from element 3 (top-right corner) to element 7 =
(bottom-left corner). In this case, the missing element will be identical t=
o elements 1 and 5.

On the matrix below, both from left to right and from top =
to bottom, a single line is added to the element. The additional line is al=
ternatively vertical or horizontal.

Read on for some time management tips and then continue to =
try the full-length Matrigma-style simulation.

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