15 January 2017

Perkhidmatan Analisis Data Untuk Pelajar Degree, Master dan PhD 2016/2017

Dengan Nama Allah Yang Maha Pemurah Lagi Maha Mengasihani

PERKHIDMATAN ANALISIS DATA
(Social Research)


Antara perkhidmatan yang disediakan:
a) Analisis data & huraian ringkas bab 4
b) key in data dalam SPSS
c) Membuat assignment Statistik

Software yang digunakan:
a) SPSS V19
b) Excel 2010
c) Word 2010

Maklumat yang diperlukan untuk analisis:

1) Tajuk kajian
2) Objektif Kajian
3) Soalan kajian (research question)
4) Soal selidik (questionnaire)
5) Data yg sudah dimasukkan dalam SPSS (jika ada)
6) Hipotesis

Antara jenis ujian analisis yang digunakan:


Descriptive statistics
Correlation
T-test
ANOVA
Reliability analysis
Factor analysis
Multiple Regression
Nonparametric techniques
Normal distribution
Data screening & transformation



Kelebihan perkhidmatan ini:
  1. Memberi kemudahan kepada individu yang sedang membuat penyelidikan: Degree, Master & PhD, kakitangan awam/swasta yang menghadapi masalah kekangan masa.
  2. Dapat menjimatkan masa.
  3. Sesuai bagi individu yang sibuk dengan tugas hakiki lain.
  4. Urusan perkhidmatan secara email & media sosial.
  5. Menerima perkhidmatan seluruh negeri Semenanjung Malaysia, Sabah & Sarawak.
  6. Tempoh masa maksima untuk disiapkan adalah 14 hari bekerja bergantung kepada jenis data dan objektif kajian.
  7. Analisa beserta huraian ringkas bab 4 sahaja.
  8. Tidak menyediakan perkhidmatan membuat laporan penuh.
  9. Analisa hanya berfokus pada kajian penyelidikan sosial sahaja.

      Bagaimana untuk berurusan:
      1. Sila email maklumat analisis yang diperlukan seperti berikut:
        • a) Tajuk kajian
        • b) Objektif Kajian
        • c) Soalan kajian (research question)
        • d) Soal selidik (questionnaire)
        • e) Hipotesis (jika ada)
        • f) Data yg sudah di key in dalam SPSS (jika ada)
        • atau boleh email bab 1-3
        • g) Untuk tugasan statistik sila emailkan soalan tugasan tersebut.
      2. Setelah maklumat kajian diterima, harga perkhidmatan akan ditentukan kepada pelanggan.
      3. Jika pelanggan bersetuju dengan harga yang ditetapkan, proses analisa akan dilaksanakan. Jika sebaliknya maka semua urusan akan ditamatkan.
      4. Persetujuan harga menandakan bahawa anda bersetuju berurusniaga dengan saya.  


      Segala urusan anda boleh hubungi saya:
      En.Fazil
      016-9510539 (8.00 am - 6.00pm)- call/whatsapp/sms/telegram


      Sila Email:


      Bsc Hons Statistics UiTM, Diploma Edu. Mathematics IPDA, Diploma Statistics UiTM

      Antara analisa yang telah dibuat :



      29 April 2012

      Cronbach's Alpha (α) using SPSS


      Introduction

      Cronbach's alpha is the most common measure of internal consistency ("reliability"). It is most commonly used when you have multiple Likert questions in a survey/questionnaire that form a scale and you wish to determine if the scale is reliable.

      Example

      A researcher has devised a nine-question questionnaire with which they hope to measure how safe people feel at work at an industrial complex. Each question was a 5-point Likert item from "strongly disagree" to "strongly agree". In order to understand whether the questions in this questionnaire all reliably measure the same latent variable (feeling of safety) (so a Likert scale could be constructed), a Cronbach's alpha was run on a sample size of 15 workers.

      Setup in SPSS

      The nine questions have been labelled "Qu1" through to "Qu9". To know how to correctly enter your data into SPSS in order to run a Cronbach's alpha test please read ourEntering Data into SPSS tutorial.

      Test Procedure in SPSS

      1. Click Analyze > Scale > Reliability Analysis... on the top menu as shown below:
        Cronbach's Alpha Test Menu
        Published with written permission from SPSS Inc, an IBM Company.
      2. You will be presented with the Reliability Analysis dialogue box:
        Cronbach's Alpha Dialogue Box
        Published with written permission from SPSS Inc, an IBM Company.
      3. Transfer the variables "Qu1" to "Qu9" into the "Items:" box. You can do this by drag-and-dropping the variables into their respective boxes or by using the SPSS Right Arrow Buttonbutton. You will be presented with the following screen:
        Cronbach's Alpha Dialogue Box
        Published with written permission from SPSS Inc, an IBM Company.
      4. Leave the "Model:" set as "Alpha", which represents Cronbach's alpha in SPSS. If you want to provide a name for the scale enter it in the "Scale label:" box. Since this only prints the name you enter at the top of the SPSS output, it is certainly not essential that you do; and in this case we will leave it blank.
      5. Click on the SPSS Statistics Button button, which will present the Reliability Analysis: Statistics dialogue box, as shown below:
        Cronbach's Alpha Dialogue Box
        Published with written permission from SPSS Inc, an IBM Company.
      6. Select the "Item", "Scale" and "Scale if item deleted" in the "Descriptives for" box and "Correlations" in the "Inter-Item" box, as shown below:
        Cronbach's Alpha Dialogue Box
        Published with written permission from SPSS Inc, an IBM Company.
      7. Click the SPSS Continue Button button. This will return you to the Reliability Analysis dialogue box.
      8. Click the SPSS OK Button button to generate the output.

      SPSS Output for Cronbach's Alpha

      SPSS produces many different tables. The first important table is the Reliability Statistics table that provides the actual value for Cronbach's alpha, as shown below:
      Cronbach's Alpha Output
      Published with written permission from SPSS Inc, an IBM Company.
      We can see that in our example, Cronbach's alpha is 0.805, which indicates a high level of internal consistency for our scale with this specific sample.

      Item-Total Statistics

      The Item-Total Statistics table presents the Cronbach's Alpha if Item Deleted in the final column , as shown below:
      Cronbach's Alpha Output
      Published with written permission from SPSS Inc, an IBM Company.
      This column presents the value that Cronbach's alpha would be if that particular item was deleted from the scale. We can see that removal of any question except question 8, would result in a lower Cronbach's alpha. Therefore, we would not want to remove these questions. Removal of question 8 would lead to a small improvement in Cronbach's alpha and we can also see that the Corrected Item-Total Correlation value was low (0.128) for this item. This might lead us to consider whether we should remove this item.
      Cronbach's alpha simply provides you with an overall reliability coefficient for a set of variables, e.g. questions. If your questions reflect different underlying personal qualities (or other dimensions), for example, employee motivation and employee commitment, then Cronbach's alpha will not be able to distinguish between these. In order to do this and then check their reliability (using Cronbach's alpha), you will first need to run a test such as a principal components analysis (PCA). If this sounds like something you would want to do, check out the features of our Premium PCA guide.

      12 March 2012

      Ujian Non Parametric

      Panduan ujian non parametric sebagai alternatif ujian parametric.


      Kruskal Wallis Test

      Mann Whitney U-Test
      Wilcoxon Signed-Ranks Test