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Memasukkan data di R

19 September, 2007 (20:45) | Statistics | By: Bhina Patria | Viewed 1572 times

Pengguna SPSS pasti akan sedikit canggung ketika pertama kali menggunakan R. Hal ini disebabkan karena R yang berbasis konsole tentu saja tidak seperti SPSS yang menyediakan tampilan tabel data pada awal tampilan. Di R kita harus membiasakan diri untuk tidak melihat tabel data kita (walaupun hal ini bisa dilakukan di R).

Untuk perkenalan dengan R kali ini kita akan belajar bersama-sama cara memasukkan data di R berikut cara mengedit data. Misalkan kita memiliki data sbb:

data R

Dalam R jalankan perintah:

> coba < - data.frame(nama = c("Abie", "Budi", "Cici", "Dudu", "Eci"),
gender = c(1, 1, 2, 1, 2),
nilai = c(9, 8, 7, 9, 9))
> coba

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R: Aplikasi Statistik di GNU/Linux

18 September, 2007 (18:36) | Linux, Statistics | By: Bhina Patria | Viewed 1969 times

Melanjutkan postingan sebelumnya tentang aplikasi statistik di GNU/Linux, kali ini kita akan berkenalan dengan R. R adalah aplikasi statistik di GNU/Linux. Dukungan dokumentasi untuk R kelihatannya lebih baik dari pada PSPP. Selain itu penggunanya juga sangat banyak, terlihat di forumnya yang cukup ramai. R juga ada versi Windows-nya sehingga pengguna Windows bisa juga menggunakannya.

Untuk mendapatkan R, arahkan penjelajah Anda ke http://www.r-project.org/. Unduh R versi terbaru yaitu R-2.5.1.tar.gz.

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PSPP: SPSS di GNU/Linux

4 September, 2007 (22:27) | Linux, Statistics | By: Bhina Patria | Viewed 1899 times

Salah satu kendala bagi saya untuk bermigrasi total ke GNU/Linux adalah ketergantungan saya dengan SPSS. Aplikasi statistik di GNU/Linux sepertinya memang masih kalah perkembangannya dibanding aplikasi lain seperti pengolah kata ataupun aplikasi grafis. Di GNU/Linux aplikasi statistik yang cukup adalah R, PSPP dan Stata.

Artikel kali ini merupakan perkenalan kita dengan PSPP. Nama PSPP pastilah agak sedikit aneh, memang namanya adalah plesetan dari aplikasi SPSS dibawah Windows. Tidak begitu jelas singkatan dari apa PSPP ini, namun di situsnya ada beberapa kemungkinan singkatan yaitu:
- Perfect Statistics Professionally Presented
- Probabilities Sometimes Prevent Problems
- People Should Prefer PSPP
Anda bisa mengarang sendiri kepanjangan dari akronim PSPP, misalnya: Program Statistik Paling Penting :D.

Keunggulan PSPP dibanding aplikasi statistik lainnya di GNU/Linux adalah dukungan terhadap SPSS Syntax. Hampir semua perintah syntax SPSS bisa dikenali PSPP. Untuk yang sudah mengenal SPSS syntax pastinya ini menjajinkan kemudahan karena tidak perlu lagi belajar perintah-perintah baru seperti pada aplikasi R.

Pertama unduh PSPP di ftp://ftp.gnu.org/pub/gnu/pspp/. Selanjutnya untuk proses pemasangan lakukan perintah:

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Why study abroad?

30 August, 2007 (11:18) | Education, English | By: Bhina Patria | Viewed 6208 times


Sending students to studying abroad has been the most prevalent approach in internationalisation of higher education. Having international experience is considered as beneficially for students and graduates by many researchers in higher education. Most of them agreed that studying abroad have a positive impact on student life. The benefit of study abroad usually analysed in five spheres: academic achievement, foreign language proficiency, cultural enrichment, personal development and professional impact.

Foreign Language Proficiency
One of the leading motivations to study abroad is to have better foreign language proficiency. The improvement of language proficiency generally assumed to be the main consequence of studying abroad. Student reported that upon return they felt enhancement in language proficiency of the host country, in everyday context as well as in academic context. Obviously the language of the host country and the language use in the instruction must be taking in to account. For example: If you study in German but the language of instruction is in English, obviously your German proficiency will not improve much.

Cultural Enrichment
Study abroad provides direct opportunity to learn other culture. The most obvious impact for this is a better understanding of the conditions in other countries. This experience will stimulates some reflection about ones own culture and even reconsideration of values in general. Improved understanding of political rationales and tolerance for different views is just some of the examples of the result. Ones also will have more experience in comparing their own countries and the host country where they study. They will learn how to be proud of their home country and in the same time learn to accept the deficiency of their home country compared to the host country.

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March: Child Prodigy from Indonesia

28 August, 2007 (01:02) | Education, English | By: Bhina Patria | Viewed 2299 times

March Tian Boedihardjo

A little bit shock and excited when I read my rss subscription for BBC today. “Child star wins university place” that is the title of BBC article on March, the youngest (9) ever student to enroll in a university in Hong Kong. He is enrolled in HKBU (Hong Kong Baptist University). After reading his full name, March Tian Boedihardjo, I knew that he is from Indonesia :). Well, Boediharjo is for sure a Javanese name.

Maybe it is to naive to say that he is an Indonesian child prodigy since he and his family now live in Hong Kong. I also don’t know whether they still have Indonesian nationality or not. However I just feel happy to hear that every media refers him as “Indonesian-Chinese boy” followed by a lot of compliments. For just a moment I want to forget about how terrible education management in Indonesia. Forget about the high tuition fees, forget about the low teacher salary, forget about the terrible infrastructure… forget everything for just a moment and enjoy the good news..:D.

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Sorting and Rearranging Variables’ Name with SPSS Syntax

27 August, 2007 (18:22) | English, Statistics | By: Bhina Patria | Viewed 8544 times


Recently I came across this tricky task: sorting variable name in SPSS Data Editor. It should not be a problem with only few variables, but imagine to do it for a couple hundreds variables! OK maybe I’m not clear enough in explaining this. For example I have a data set with variable name Var001, Var003, and Var002 and I want to order it to Var001, Var002 and Var003.

After googling I found the solution listed here. The syntax command:

FLIP.
SORT CASES BY case_lbl.
FLIP NEWNAMES=case_lbl.

The first command is transposing the data file, this means that all of your variables’ name will be listed in one variable. The second command is sorting the variable. The last one transposing again to its original structure.

However this syntax turns out to be very bad solution. After the first transposing command the variables is losing its variable definition such as variable label, missing value, column etc. This thing happen because each variables turn into a variable value. After digging some more information the solution is quite simple: utilizing save command! The syntax is like so:

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Pindahan dari e107 selesai

25 August, 2007 (10:52) | WordPress | By: Bhina Patria | Viewed 1291 times

Alhamdulillah akhirnya proses melelahkan selama beberapa hari ini selesai. Seluruh artikel lama dari inparametric (e107) telah selesai di pindah ke wordpress. Seluruh pengguna terdaftar juga telah berhasil di pindahkan. Total ada 150-an anggota namun yang sudah konfirmasi ulang baru 74 anggota, statistiknya bisa dilihat disini.

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Non-University Higher Education

24 August, 2007 (14:49) | Education, English | By: Bhina Patria | Viewed 8741 times

Sub Title: The German Fachhochschulen and This Sector in The Cameroon Higher Education System

By: Mesue Wilfred Essajume
wellymesu[at]yahoo[dot]com

INTRODUCTION


Higher Education has been on a constant dynamics towards better quality and efficiency of graduates. The concluding decades of the 20th century saw a major expansion and the emergence of certain distinct features in the higher education system. From a small elite sector where very few school-leavers participated to a mass sector. Gellert (1993, P. 17) insist that there are a number of ‘essential areas of change’ in the higher education system. A number of features are closely linked to the expansions that did occurred in the 1960s onward. Among the trend that Gellert identified was institutional differentiation, which includes the establishment of new forms of higher education institutions and programmes, functional modification, new modes of teaching and learning, increased concerns with access and educational opportunity, the prevalence of government intervention and accountability.

The thrust to increase and, to a lesser or greater degree, to widen participation in higher education in most countries is associated with a number of themes within the larger banner of lifelong learning. They include the ‘economic imperatives created by a global competition, technological change and the challenge of the knowledge economy, individual responsibility and self-improvement, employability, flexibility of institutions and individuals, social inclusion and citizenship’ (Osborne, 2003). Hence, the difficulty to have an internationally clear distinction between a university sector and another sector of higher education, often pejoratively called ‘non-university higher education’, ‘short cycle’ or ‘alternative’ (Teichler, 1998, 2001).

In many countries, institutional differentiation is evident in the creation of new types of institutions that runs parallel and complement existing traditional universities. In some cases, such as the Britain, in an initial phase of development, a polytechnic sector was created as a parallel vocational and technical alternative to universities. The use of these institutions both as providers of qualifications with national recognition and as feeders to the second or third year of universities has effectively established a new, but fuzzy, binary line, and a higher education structure that increasingly is assuming the characteristic of a stratified system. Hence, the UK system is beginning to resemble the North American system with its two-years Community College programme that are designed to articulate to universities (Bonham, 2002).

In the 1960s and 1970s there were reasons why governments preferred to articulate dual systems and/or create binary structures to cope with the strains of rapid growth. First, the traditional ethos of the universities was respected. With the move towards much higher levels of participation there were fears that universities would be contaminated by less scientific values. Again, it was believed that undifferentiated systems inevitable produces ‘academic drift’ which undermined attempt to produce more vocational forms of higher education (OECD, 1973). But the increasing numbers of jobless graduates made the alarm bells to call for more strengthening of the “less noble” sectors of higher education. The current age of mass higher education is the heir of many different traditions and the so-called ‘Learning Society’, new traditions are being added at all time and the so-called ‘short-cycle higher education have long ago ceased to be a residual sector (Ibid.).

Universities are multidisciplinary institutions in charge of both research and teaching, entitled to award advanced academic degrees (notably the doctorate) and, where applicable, entitled to award subsequent degrees qualifying for senior academic positions (the ‘doctor scientiae’ or the ‘Habilitation’), are considered the key institutions of higher education (Teichler 2001). Certain institutions have a disciplinary specialization such as agriculture, teacher training, administration, medicine, physical education, etc, but the current trend is towards a more comprehensive disciplinary context. Closely linked to this trend is diversification of level of study. The programmes usually classified as undergraduate, graduate and postgraduate and which lead to one of the three main types of degree – bachelor, master and doctor (or their national and professional equivalents), are the main forms of certification in higher education.

However, many functions associated with higher studies and training is now taking place in environments other than traditional universities. These programmes often responds to a specific learning needs of the highly diversified clientele – for example by providing distance learning courses – and answer the demands of further professionalisation and the constantly changing labour market. Their classification raises problems of both an academic and professional nature, including the need to grant academic recognition of skills acquired out side academic institutions (UNESCO 1995).

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Sekilas tentang SPSS Syntax

24 August, 2007 (06:29) | Statistics | By: Bhina Patria | Viewed 3422 times

Bayangkan skenario ini. Anda seorang data analis pada sebuah biro survey. Kali ini Anda sedang melakukan sebuah survey dengan jumlah data ribuan subyek. Setiap minggu datang 100 subyek yang berarti tambahan data sebanyak 100 N. Anda diharuskan untuk melakukan analisis terhadap komulasi data setiap minggunya. Apa yang Anda lakukan? Melakukan analisis yang sama setiap minggu..!? Hal yang cukup melelahkan dan sangat membosankan tentunya. Bagaimana penggunaan Syntax dalam SPSS bisa mengatasi masalah ini?…
Dalam artikel ini kita akan belajar juga melakukan uji reliabilitas skala dengan menggunakan syntax

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Uji Normalitas: Seri Tutorial SPSS 05

24 August, 2007 (01:05) | Psychology, Statistics | By: Bhina Patria | Viewed 4998 times

Uji Normalitas, salah satu bagian dari uji asumsi yang sering digunakan dalam penelitian Psikologi. Bagaimana cara melakukan analisis ini beserta cara interpetasi hasilnya?

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