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Data cleaning is commonly done by generating frequency distribution tables of all the variables to see the out-of-range values, and by cross tabulations (or by other means) for checking the conditional values.
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Academic Phrases, Sentences & Vocabulary 2.Limitations of previous research ►A number of questions regarding remain to be addressed. ►A closer look to the literature on , however , reveals a number of gaps and shortcomings. ►This question has previously never been addressed because__ ►Most studies have relied on ►Previous studies by cannot be considered as conclusive because ►Previous studies have almost exclusively focused on ►This has been previously assessed only to a very limited extent because ►In the present studies were constrained to ►In previous studies were limited to ►Although results appear consistent with prior research, they appear inconsistent with ►These are previously unstudied because ►As far as we know, no previous research has investigated __ For further details, Click the link below 🟥🟥🟥🟥❤️ 🟥 OPEN 🟥 🟥 OPEN 🟥 🟥 OPEN 🟥 🟥🟥🟥🟥❤️
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#SPSS Training Continued from the previous session;- How did you spend the week , Today we come with the next section which is variable view ( width, decimals and with other elements). Stay with us up to we will come to end our training section. Variable view(con't) 📚Width 🖊the number of characters before decimal. 📚 decimals 🖋will not carry out for string variables. 🖌️Is a place where the decimal shows the no of digits after decimal. 📖📖 Label 🖌️Is a column where you can write every description about name of varible that is written on the name option at the beginning. 📚📚Value 🖌️ Is a place where you can give /define variable code . 📙📙 Missing 🖍is a column where you can define missing value. 📙📙 Columns 🖌️ Is a column where you can give value for the width of column in the data view. 📙📚Align Is a place where you can align the value in the cell(left ,centre, and right) 📚 Measure 🖌Is a column where you can define the measurement scales of variable (nominal , ordinal and scale). For more details 🟥 🔹OPEN 🔸 🟥 🟥 🔹OPEN 🔺 🟥 🟥 🔹OPEN. 🔸 🟥
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The literature review section of your research paper should include the following: 🖊️Previous literature 🖍️Limitations of previous research 🖊️Research questions 🖌️Research to be explored 📘📙Academic Phrases, Sentences & Vocabulary📘📘📘📘📘📘📘📘📘📚📚 1. Previous literature: ✔️The literature review shows that ✔️Previous research showed ✔️Seminal contributions have been made by ✔️A series of recent studies has indicated that ✔️Several theories have been proposed to , some focusing on , others on ✔️There have been numerous studies to investigate ✔️This has been used in several studies to assess ✔️Previous studies have shown ✔️Several studies suggest that ✔️This has also been explored in prior studies by ✔️Prior research suggests that ✔️Previous studies have emphasized ✔️The majority of prior research has applied ✔️Most early studies as well as current work focus on ✔️For instance, the following studies were conducted on ✔️Studies of are well documented, it is also well acknowledged that ✔️A number of authors have recognized ✔️Some authors have also suggested that ✔️Some authors have driven the further development of For more details ▶️⬅️ OPEN ↘️▶️ ▶️⬅️ OPEN ↘️▶️ ▶️⬅️ OPEN ↘️↘️ ▶️⬅️ OPEN ↘️▶️
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📊Descriptive statistics
📊 Bar graph and pie chart
♻️ Inferential statistics
📉 Time series analysis
💹 logistic regression
📉 Binary logistic regression
💹 Multinomial logistic regression
🆚 Ordinal logistic regression
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Of which variable name must fulfil the rules while writing the variable name?Anonymous voting
  • It must be unique
  • It must be started with a letter
  • Can not begin with words that are used by SPSS
  • All
  • None
0 votes
SPSS Training Defining variable ✅variable name defined in data editor window(variable view). ✅Before entering data, all the study variable need to be defined including their coding information. ✅While writing the variable, we need to follow certain rules. They are:- 🌈The variable must be unique 🌈Variable must begin with a letter 🌈Can not embrace full stop 🌈Can not include words that are used by SPSS, such as All, AND and so forth 🌈Can not exceed 64 characters for higher versions (version 13 and above) and 🌈Can not exceed 8 characters for lower version (version 12 and below) ✅To define the variables,follow the instructions below: 🉑Name🆚 The column indicates the name of variable and it is expressed in short. For example, type V1 (you can also use '' age'' as the variable name NOTE THAT 💹Variable name must be unique and short 💹Type🆚 🉑Indicates the characteristics of the variable,whether numeric or string. ✅Numeric means expressed by numeric(1,2,3 etc) 💹String means expressed by alphabet and text (m,f,n,y etc) ✅ The default value for type is "Numeric" ✅If the nature of variable is string(alphabet or text variable), we need to change it. To change the variable type into string , follow the following steps 🉑Type►three-dot box►select from the options click ok Similarly, if it id a date variable, you have to change the variable type into a date format in the same manner. To be continued the next sessions...
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📊Descriptive statistics
📊 Bar graph and pie chart
♻️ Inferential statistics
📉 Time series analysis
💹 logistic regression
📉 Binary logistic regression
💹 Multinomial logistic regression
🆚 Ordinal logistic regression
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Academic phrases, sentences, and vocabulary 🌈Acknowledgement ➛The authors gratefully acknowledge the financial support of.... ➛The authors acknowledge the infrastructure and support of..... ➛The authors would like to thank.... ➛The work was supported by...... For more details 🌈open🌈 📘Appendix📘 ➛For interested readers a detailed description is presented in the Appendix ..... ➛Further description is available in the appendix or from the author........ For further details ▶️Open🔼 ▶️Open🔼 🔼Open▶️
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🔰Acknowledgement
🔰Abstract
🖌Review literature
📖Data and methodology
📙Result and discussion
📚General summary
📚Conclusions
📚 Recommendations
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Which one of z following is not an element of variable view?Anonymous voting
  • Name
  • Decimal
  • Column
  • Data view
  • Label
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