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# BAEB601 Chapter 4 : Findings, Analysis and SPSS

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### BAEB601 Chapter 4 : Findings, Analysis and SPSS

1. 1. BAEB601: REESEARCH METHODOLOGYCHAPTER 4: Findings, Analysis and SPSS © 2010 Cosmopoint
2. 2. Chapter AimsThis chapter aims to:3.Understand SPSS4.Know how to use the SPSS5.Applying SPSS in research6.Able to write finding and discussion © 2010 Cosmopoint Slide 2 of 18 Topics
3. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 19. SPSS © 2010 Cosmopoint Slide 19 of 18
20. 20. SPSS © 2010 Cosmopoint Slide 20 of 18
21. 21. SPSS © 2010 Cosmopoint Slide 21 of 18
22. 22. Data view © 2010 Cosmopoint Slide 22 of 18
23. 23. Variable view © 2010 Cosmopoint Slide 23 of 18
24. 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. 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