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BAEB601: REESEARCH METHODOLOGY
CHAPTER 4: Findings, Analysis and SPSS



                 © 2010 Cosmopoint
Chapter Aims



This chapter aims to:

3.Understand SPSS
4.Know how to use the SPSS
5.Applying SPSS in research
6.Able to write finding and discussion




                                     © 2010 Cosmopoint   Slide 2 of 18   Topics
What is finding?



   •   This section reports the findings of the statistical analysis. Sample
       characteristics are reported first. Next, descriptive is presented, followed
       by tested hypotheses.

   Sample Characteristics
   • A total of 188 (n=188) respondents participated in the study. Over sixty-
     eight percent (68.62%; n=129) attended college in Maine and 31.38%
     (n=59) attended college in Arizona. Respondents were asked to write in
     their ethnicity. Responses, presented in Table 1, reveal that the majority of
     the respondents report that they are Caucasian (n=140) with the next most
     frequent ethnicity reported as Hispanic (n=10). Twelve respondents did not
     identify their ethnicity.




                                      © 2010 Cosmopoint             Slide 3 of 18
Descriptive



   •   Ethnicity of Respondents Reported by Frequency and percent
       Ethnicity % / n 1. White-Caucasian74.47% (n=140) 2. Hispanic 5.32% (n=10) 3.
       Franco-American 2.66% (n=5) 4. American Indian 2.13% (n=4) 5. Mexican
       American 2.13% (n=4) 6. African American 1.06% (n=2) 7. American Indian and
       White 1.06% (n=2) 8. Asian-African American 1.06% (n=2) 9. Jewish 1.06%
       (n=2)10. Asian American .53% (n=1)11. French Indian .53% (n=1)12. Indian .
       53% (n=1)13. Japanese American .53% (n=1)14. Pacific Islander .53% (n=1)

   •   Descriptive Univariate Statistics
        – Turn back to your 30 set of questionnaires.
        – Summary of each answer should discuss in brief one by one.
        – Put on diagram/graphs/pie charts for each of the results.




                                       © 2010 Cosmopoint               Slide 4 of 18
Example: Question 1 – Which movie you enjoy the most?




    27% of respondent likes comedy genre. 18% like action movies. 14% for both
    Romance and drama lover. 11% enjoy horror movies for their past time.
    Finally, both 8 % of respondents like watching foreign and science fiction
    movie. This can be conclude that the sample enjoy comedy the most because
    …………………………. And the least percentage because ……………….


                                   © 2010 Cosmopoint            Slide 5 of 18
Types of charts



   •   There are several type of chart that can be used, such as pie chart,
       bar chart, line chart, area chart, bubble, radar, etc.
   •   You can select any type of chart to populate in your SPSS.
   •   Choosing a chart must be good. This is to avoid any missing
       information to discuss.
   •   Make sure every diagram must be in a frame and label.




                                   © 2010 Cosmopoint          Slide 6 of 18
What Is SPSS?



   •   Definition
   •   SPSS is know as Statistical Package for Social Science
   •   Statistic – a brief research sometime not accurate. For example: to
       get the min, mod, median in statistic for analysis that belongs to a
       sample group.
   •   Package – the combination of various functions in one program. For
       example: the calculation package for min, mod, median, etc at one
       time.
   •   Social Science – the study about people. For example: the wide
       field in medicine, economic field, education field, etc.
   •   There are other than SPSS program such as SPSSx and SAS
       which are the same function.



                                   © 2010 Cosmopoint         Slide 7 of 18
The Use of SPSS




   • The SPSS is used to process data collected and
     the output produced will be used to analyze the
     research/study for more accurate figure, fast,
     and easy with various statistic functions offer by
     this SPSS.

   • Using SPSS can save cost, and time because
     the output gotten from data analyzed will be
     more accurate for the whole study


                         © 2010 Cosmopoint   Slide 8 of 18
When to use SPSS?




   • It is use after you got all complete data.
   • How to get data? There are various of methods
     such as distribute questionnaires, interviews,
     observations, etc.
   • However, in SPSS, usually the data to be used
     in this program is collected from the
     questionnaire distribution.
   • Why? Because the data gotten is more specific
     compare to other method and systematic.


                        © 2010 Cosmopoint   Slide 9 of 18
What do we learn in SPSS?




   • In this course we will learn only 2 things in
     SPSS.
       – Chapter 1 Data View (see manual)
       – Chapter 2 Variable View (see manual)
   • Please download the SPSS software. Now
     we’re using version 18. If you got below
     version it still acceptable (10 – 19 version)



                            © 2010 Cosmopoint   Slide 10 of 18
SPSS – Data View




   • Once you double click the icon, it will open
     the workspace that call Data View.
   • In Data View screen, you will see the
     following:
       – Title Bar
       – Menu Bar
       – Cell and active variables
       – Row that indicates respondent feedback
       – Column that indicates variables.

                         © 2010 Cosmopoint   Slide 11 of 18
SPSS – Variable Vew




   • Row is indicates numbers of variables
   • Column indicates the characteristic of
     variables such as name, gender, type, etc.
   • For both selection in Bar Menu for Data
     View and Variable View are same.




                      © 2010 Cosmopoint   Slide 12 of 18
Menu File



   • File - It is use to open and save SPSS data fail.
   • Edit –this selection will assist you for editing, finding data
     value, changing option setting and etc.
   • View – it is use to show and hide the status bar, toolbar,
     grid lines, etc.
   • Data – to modify data, cases, insert variables, etc.
   • Transform – can exchange the variables. E.g from the
     old variables to new variables
   • Analyze – Can assist to generate statistic procedure that
     you want
   • Graph – Can generate graphs based on data you key in


                               © 2010 Cosmopoint      Slide 13 of 18
Creating Variables in SPSS




   •   SPSS – refer to the variables and cases
   •   Variables is situated in column
   •   Cases (respondents) are situated in row
   •   For each of column shows one variables,
       and each of row shows one respondent
       (one case).



                             © 2010 Cosmopoint   Slide 14 of 18
Creating Variables in SPSS




   • The maximum label you can put is 8 only.
   • Start with an alphabet, follow with numbers or
     symbols EXCEPT ! ? “” *
   • Can not ended with fullstop (.)
   • Must be UNIQUE and NOT REDUNDANT
   • Not influent with capital letters or small
   • Avoid using:
     ALL NE EQ TO LE LT BY OR GT
     AND NOT GE WITH

                             © 2010 Cosmopoint   Slide 15 of 18
Creating Variables in SPSS




   • Row Name
   • 1) Activate Variable View screen
   • 2) Click on row Name to give a suitable
     name for your variables (make sure follow
     the guideline).




                             © 2010 Cosmopoint   Slide 16 of 18
How to use SPSS in your resarch?

   •   Do the questionnaires based on the hypothesis designed.

   • For example:
   Variable: Technology Resource
   Hypothesis:
   H1: There is a relationship between technology resource and useful of
       elearning.
   H0: There is no relationship between technology resource and useful of
       elearning.
   Questionnaires:
   1)How do you grade the technology resource at school?
   Not at all satisfies   1 2 3 4 5 totally satisfies

   2) How sequences the student use the computer?
   Not at all satisfies 1 2 3 4 5 totally satisfies



                                   © 2010 Cosmopoint       Slide 17 of 18
• Design questionnaires according to your
  hypotheses
• Install SPSS software
• Get familiar with the screen (Refer to
  handout)
• Data collected, then can start key in your
  feedback
• Analyze data


                    © 2010 Cosmopoint   Slide 18 of 18
SPSS




       © 2010 Cosmopoint   Slide 19 of 18
SPSS




       © 2010 Cosmopoint   Slide 20 of 18
SPSS




       © 2010 Cosmopoint   Slide 21 of 18
Data view




            © 2010 Cosmopoint   Slide 22 of 18
Variable view




                © 2010 Cosmopoint   Slide 23 of 18
Guidelines for Chapter 4

   •   Findings and analysis
        –    Introduction
        –    Discuss on each of your findings (based on 30
             questionnaires distributed and collected)
        (Tips: There must be 30 figures with elaborations)
        3. Get back your hypotheses written in chapter 1. And state
             whether it’s Accepted or Rejected. For example:
        H1: Environment contribute to the habit of smoking. (ACCEPTED)
        H0: Environment does not contribute to the habit of smoking.
             (REJECTED)
        How to know this? It’s based on your analysis made. That’s why
        research questions, research objectives and hypotheses are
        related each other.

       4. Conclusion of chapter 4



                                    © 2010 Cosmopoint    Slide 24 of 18
Exam




  Section 1: MCQ – All chapters (definitions,
   concepts)
  Section 2: Hypothesis (H1 & H0), Problem
   Statement, Research Questions,
   Research Objectives, Data gather method,
   Type of research, Literature Review ,
   Producing good research,
  Section 3: Case study

                    © 2010 Cosmopoint   Slide 25 of 18

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Findings, Analysis and SPSS in Research

  • 1. BAEB601: REESEARCH METHODOLOGY CHAPTER 4: Findings, Analysis and SPSS © 2010 Cosmopoint
  • 2. Chapter Aims This chapter aims to: 3.Understand SPSS 4.Know how to use the SPSS 5.Applying SPSS in research 6.Able to write finding and discussion © 2010 Cosmopoint Slide 2 of 18 Topics
  • 3. What is finding? • This section reports the findings of the statistical analysis. Sample characteristics are reported first. Next, descriptive is presented, followed by tested hypotheses. Sample Characteristics • A total of 188 (n=188) respondents participated in the study. Over sixty- eight percent (68.62%; n=129) attended college in Maine and 31.38% (n=59) attended college in Arizona. Respondents were asked to write in their ethnicity. Responses, presented in Table 1, reveal that the majority of the respondents report that they are Caucasian (n=140) with the next most frequent ethnicity reported as Hispanic (n=10). Twelve respondents did not identify their ethnicity. © 2010 Cosmopoint Slide 3 of 18
  • 4. Descriptive • Ethnicity of Respondents Reported by Frequency and percent Ethnicity % / n 1. White-Caucasian74.47% (n=140) 2. Hispanic 5.32% (n=10) 3. Franco-American 2.66% (n=5) 4. American Indian 2.13% (n=4) 5. Mexican American 2.13% (n=4) 6. African American 1.06% (n=2) 7. American Indian and White 1.06% (n=2) 8. Asian-African American 1.06% (n=2) 9. Jewish 1.06% (n=2)10. Asian American .53% (n=1)11. French Indian .53% (n=1)12. Indian . 53% (n=1)13. Japanese American .53% (n=1)14. Pacific Islander .53% (n=1) • Descriptive Univariate Statistics – Turn back to your 30 set of questionnaires. – Summary of each answer should discuss in brief one by one. – Put on diagram/graphs/pie charts for each of the results. © 2010 Cosmopoint Slide 4 of 18
  • 5. Example: Question 1 – Which movie you enjoy the most? 27% of respondent likes comedy genre. 18% like action movies. 14% for both Romance and drama lover. 11% enjoy horror movies for their past time. Finally, both 8 % of respondents like watching foreign and science fiction movie. This can be conclude that the sample enjoy comedy the most because …………………………. And the least percentage because ………………. © 2010 Cosmopoint Slide 5 of 18
  • 6. Types of charts • There are several type of chart that can be used, such as pie chart, bar chart, line chart, area chart, bubble, radar, etc. • You can select any type of chart to populate in your SPSS. • Choosing a chart must be good. This is to avoid any missing information to discuss. • Make sure every diagram must be in a frame and label. © 2010 Cosmopoint Slide 6 of 18
  • 7. What Is SPSS? • Definition • SPSS is know as Statistical Package for Social Science • Statistic – a brief research sometime not accurate. For example: to get the min, mod, median in statistic for analysis that belongs to a sample group. • Package – the combination of various functions in one program. For example: the calculation package for min, mod, median, etc at one time. • Social Science – the study about people. For example: the wide field in medicine, economic field, education field, etc. • There are other than SPSS program such as SPSSx and SAS which are the same function. © 2010 Cosmopoint Slide 7 of 18
  • 8. The Use of SPSS • The SPSS is used to process data collected and the output produced will be used to analyze the research/study for more accurate figure, fast, and easy with various statistic functions offer by this SPSS. • Using SPSS can save cost, and time because the output gotten from data analyzed will be more accurate for the whole study © 2010 Cosmopoint Slide 8 of 18
  • 9. When to use SPSS? • It is use after you got all complete data. • How to get data? There are various of methods such as distribute questionnaires, interviews, observations, etc. • However, in SPSS, usually the data to be used in this program is collected from the questionnaire distribution. • Why? Because the data gotten is more specific compare to other method and systematic. © 2010 Cosmopoint Slide 9 of 18
  • 10. What do we learn in SPSS? • In this course we will learn only 2 things in SPSS. – Chapter 1 Data View (see manual) – Chapter 2 Variable View (see manual) • Please download the SPSS software. Now we’re using version 18. If you got below version it still acceptable (10 – 19 version) © 2010 Cosmopoint Slide 10 of 18
  • 11. SPSS – Data View • Once you double click the icon, it will open the workspace that call Data View. • In Data View screen, you will see the following: – Title Bar – Menu Bar – Cell and active variables – Row that indicates respondent feedback – Column that indicates variables. © 2010 Cosmopoint Slide 11 of 18
  • 12. SPSS – Variable Vew • Row is indicates numbers of variables • Column indicates the characteristic of variables such as name, gender, type, etc. • For both selection in Bar Menu for Data View and Variable View are same. © 2010 Cosmopoint Slide 12 of 18
  • 13. Menu File • File - It is use to open and save SPSS data fail. • Edit –this selection will assist you for editing, finding data value, changing option setting and etc. • View – it is use to show and hide the status bar, toolbar, grid lines, etc. • Data – to modify data, cases, insert variables, etc. • Transform – can exchange the variables. E.g from the old variables to new variables • Analyze – Can assist to generate statistic procedure that you want • Graph – Can generate graphs based on data you key in © 2010 Cosmopoint Slide 13 of 18
  • 14. Creating Variables in SPSS • SPSS – refer to the variables and cases • Variables is situated in column • Cases (respondents) are situated in row • For each of column shows one variables, and each of row shows one respondent (one case). © 2010 Cosmopoint Slide 14 of 18
  • 15. Creating Variables in SPSS • The maximum label you can put is 8 only. • Start with an alphabet, follow with numbers or symbols EXCEPT ! ? “” * • Can not ended with fullstop (.) • Must be UNIQUE and NOT REDUNDANT • Not influent with capital letters or small • Avoid using: ALL NE EQ TO LE LT BY OR GT AND NOT GE WITH © 2010 Cosmopoint Slide 15 of 18
  • 16. Creating Variables in SPSS • Row Name • 1) Activate Variable View screen • 2) Click on row Name to give a suitable name for your variables (make sure follow the guideline). © 2010 Cosmopoint Slide 16 of 18
  • 17. How to use SPSS in your resarch? • Do the questionnaires based on the hypothesis designed. • For example: Variable: Technology Resource Hypothesis: H1: There is a relationship between technology resource and useful of elearning. H0: There is no relationship between technology resource and useful of elearning. Questionnaires: 1)How do you grade the technology resource at school? Not at all satisfies 1 2 3 4 5 totally satisfies 2) How sequences the student use the computer? Not at all satisfies 1 2 3 4 5 totally satisfies © 2010 Cosmopoint Slide 17 of 18
  • 18. • Design questionnaires according to your hypotheses • Install SPSS software • Get familiar with the screen (Refer to handout) • Data collected, then can start key in your feedback • Analyze data © 2010 Cosmopoint Slide 18 of 18
  • 19. SPSS © 2010 Cosmopoint Slide 19 of 18
  • 20. SPSS © 2010 Cosmopoint Slide 20 of 18
  • 21. SPSS © 2010 Cosmopoint Slide 21 of 18
  • 22. Data view © 2010 Cosmopoint Slide 22 of 18
  • 23. Variable view © 2010 Cosmopoint Slide 23 of 18
  • 24. Guidelines for Chapter 4 • Findings and analysis – Introduction – Discuss on each of your findings (based on 30 questionnaires distributed and collected) (Tips: There must be 30 figures with elaborations) 3. Get back your hypotheses written in chapter 1. And state whether it’s Accepted or Rejected. For example: H1: Environment contribute to the habit of smoking. (ACCEPTED) H0: Environment does not contribute to the habit of smoking. (REJECTED) How to know this? It’s based on your analysis made. That’s why research questions, research objectives and hypotheses are related each other. 4. Conclusion of chapter 4 © 2010 Cosmopoint Slide 24 of 18
  • 25. Exam Section 1: MCQ – All chapters (definitions, concepts) Section 2: Hypothesis (H1 & H0), Problem Statement, Research Questions, Research Objectives, Data gather method, Type of research, Literature Review , Producing good research, Section 3: Case study © 2010 Cosmopoint Slide 25 of 18