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The coding process
Coding process refers to the systematic translation of data to given variable name to make it easy for the computer processing (Brace, 2004). The process involves assigning numbers to act as labels for the particular variables. The data variables should be purely nominal. Nominal means that the data and information represented should not have any numerical relationship, for example, you cannot code the mathematical computation representing values like mean, standard deviation or sum of given data like marital status. The coding process has implemented a code for sex as MALE = M and FEMALE = F represents the two genders

During my data collection analysis, I implemented the application of two variables signs. The firsts optional sign is where the Respondent uses the cross sign (X) to check the appropriate responses. The second form of collecting data involves the respondents filling a text or numeric responses. The method of data and information collection apply to both the questionnaire and the interview questions. The interviewer shall indicate the cross sign or the specific numerical values appropriately based on the responses given by the interviewee. The simple survey in the index indicates that the first items apply the cross (X) while the second part applies the filling in of the blank. (Refer to the appendix page)

The Use of Brackets in the questionnaire and the interview questions the brackets had an implementation in the provision of the specific location to append responses.

The use of the item numbering in the questionnaire and the interview questions indicates the systematic flow of questions to the respondents. However, the case does not apply to the code book. The system of numbering in the codebook may not reflect similar numbering as in the questionnaire and the interview questions. The reason is that the survey items may contain multiple responses and multiple variables in the codebook. For example from the survey, the question labeled as the number five contain multiple responses (refer to the appendix page). The codebook contains three variables originating from the same question. Hence, the numbering format of the survey has different from the numbering format represented by the codebook.

The codebook design
The variables used may take the form of alpha or numeric. In case, multiple brackets or boxes have required the brackets or boxers may take the horizontal arrangement as indicated in the items 6 and 4 (refer to the appendix page). Similarly, the arrangement of multiple brackets or boxes may be placed vertically like in the case of item 2 and 5 (refer to the appendix page). When more than one column of brackets or boxes has specifications like the case in item number 3, the arrangement must take the horizontal positioning. The first bracket is in the first row linked to the value label 1 and the second bracket in the first row has linkage to the value labeled 2 (refer to the appendix page). The second row, the first bracket has linkage to the third label three while the second bracket in the second row has linkage to the value labeled 4 (refer to the appendix page)

The Pilot Testing and the Missing Data
It was a requirement to perform the pilot testing to collect elaborate and accurate data and information, however due to the tome constraints and the lack of enough funds the pilot testing had no conduction in this particular survey.

The data regarding the brand preferred by the respondent was missing in most of the responses. I implemented the missing data by adding a variable to the possible brand to take into consideration the missing data of the responded surveys (Kim, et al… 2010). The missing data and information were missing due to the ubiquity of the answers obtained from the survey. The blank spaces on the particular item and the data that could not bring clear understanding had treatment as the missing data. Similarly the respondents who typed the wrong brands their data had treatment as missing data. The missing data and information had entry into the computer as undecided using the following code.

V3. What is your favorite brand? (N1)

Brand W
Brand X
Brand Y
Brand Z
Undecided
Variable Measurement between Group Differences
The survey did not include the variable measurement and testing. There were no chemical evaluation and laboratory tests performed on the variables. The control observations and testing’s had no involvement in the data and collection information survey.

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10 Tips to Ace the NATA Exam This Year

Preparing for any entrance examination is like playing a tuff game, you need to learn the rules, be resilient, and practice hard. However, things become a little different when it comes to competitive examinations like NATA. It’s the same game set on maximum difficulty. Passing the NATA entrance exam was made mandatory by the Council of Architecture to enrol into any architecture college in India. It’s a unique examination with its own set of syllabus and a separate drawing test.

Well, it looks a little daunting but with the right tricks and knowledge, you can easily ace the exam. Here are some tips for the same-

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Understand the Exam Pattern

First thing first, you need to understand what you are getting into before starting your preparation. The NATA examination is divided into 3 parts, General Aptitude, Mathematics, and Drawing. The former two are covered in a one MCQ based test with a total of 120 marks, while the test of drawing includes 2 questions of 40 marks each. Hence, adding a total of 200 marks, you need a total of 80 marks to qualify, though it’s advised to aim for a higher number like 120 to get a decent college.

Speed

Speed is a crucial aspect of any entrance examination. The question paper is meant to be tricky and confusing, it’s your ability to solve the questions in the given time. There is no point in wasting 20 minutes just decorating your drawing questions, try to convey your idea in the most simple and effective way.

Don’t be a GK Geek

You don’t have to mug up general awareness questions, just stay aware of your surroundings. Pay special attention to the architectural section, follow works of popular architects and you are good to go.

Drawing

Not all architects are blessed sketchers, they built up a knack for drawing while practising in class. You need to do the same. Practice sketching daily is the key to crack NATA, try sketching buildings and interior structures starting form simpler designs.

Building Materials

If you dig out previous year question papers, you will find a lot of questions about building materials. However, this doesn’t mean you start pursuing engineering questions just keep your game up and learn about different construction materials used today.

History

Your preparation for NATA entrance exam demands conversant knowledge about the global architecture history. Learn everything about every iconic architectural patron, its history shapes the future remember that.

Erase

As you practice drawing trim down the use of an eraser. This will develop confidence in your drawing and keep your sketch more refined and clean. Also, only use A4 size sheets to practice, as you will receive the same during your final exam.

Mock Tests

The best way to prepare is by putting the gained knowledge on trial. Mock tests are the best way to asses yourself. They help you gain more insight into your knowledge and plan a future course of action accordingly. Coaching centres are dead serious about mock testes papers and lay more emphasis on weekly papers.

Divide Your Time

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Division of time is the key to a cohesive study. Break down your day into smaller parts, and divide your time accordingly. Give more emphasis on subjects you find difficult. Follow this schedule like a bible and pair you study with a series of mock tests and you are good to go.

Self-Discipline

To manage your time you need to first manage yourself. Never skip any study, practice, or test sessions. Visualize yourself as a top contender and stay focused on your NATA 2018 examination.