Tugasan🐙. Tulis balik menjadi ayat sendiri. Teks1 Clyde Kluckhohn (January 11, 1905, Le Mars, Iowa – July 28, 1960, near Santa Fe, New Mexico), was an American anthropologist and social theorist, best known for his long-term ethnographic work among the Navajo and his contributions to the development of theory of culture within American anthropology. Teks2 Among Kluckhohn’s numerous studies of the Navajo are Navaho Classification of Their Song Ceremonials (1938) and Introduction to Navaho Chant Practice (1940, both written with Leland C. Wyman), and Navaho Witchcraft (1944), which is considered his finest work. ------------ Doc. Mcm ni boleh ke? "Clyde Kluckhohn who borned in Le Mars, Iowa in 1905 and died near Santa Fe in New Mexico at the age of 55 was an American anthropologist and social theorist. Among the studies that brought him to fame are Navaho Classification of Their Song Ceremonials (1938) and Introduction to Navaho Chant Practice (1940) and Navaho Witchcraft (1944). He also was recognised for his contributions to the development of theory of American anthropology".

Answer:
popular with finest ethnographic works, Clyde Kluckhohn (1905-1960), contributed outstandingly in the american native culture of the navajo. his contributions remained  a major reference among the american antrophologist and socia theoriest

Yup..so many thgs to do. Remember sifu's formula
📚read🍭analyze💥memorize🌈write

fadhilat al-quran

http://hafizamri.com/fadhilat-dan-kelebihan-ayat-ayat-quran/

Dr awang idris's post:-)

🐾🌼🐾🌼🐾🌼 Saya mula mengajar menulis kpd pelajar lain sejak saya mengaji PhD lagi. Ia bermula di garage kereta di Adelaide. Student saya kebanyakannya pensyarah uni yg sambung buat Phd. Ia acara mingguan saya. Sekarang student saya itu sudah jadi Dr juga. Sesekali saya mengajar juga workshop di universiti. Husna mungkin pernah mengikutinya. Jadi blh saya katakan menulis ini bukan hal mudah. Ia perlukan latih tubi pemikiran juga. Di akhir2 semester saya, tinggal beberapa minggu lagi utk saya submit thesis, saya masih diminta mengajar. Saya sebenarnya menyelesaikan banyak masalah dlm PhD kerana keseronokan saya dalam hal menulis. Tetapi menulis sahaja tidak memadai. Ia mesti seronok membaca - WHY sesuatu benda terjadi. Membaca juga tidak memadai. Kena love stats juga. Stats juga tidak memadai. Kena minat dan analitikal dgn metod juga. Jadi barulah ia menjadikan menulis ini hal yg seronok dan PhD sesuatu yg indah. Satu hari saya call HOD betulkah sy buat PhD ini? Sbb sy tak stress? Bagaimana pun, saya tidak begitu segan dengan org. Saya mengirim email bertanya dgn sifu besar bagi hal yg saya ragu2. Bagi saya, mereka juga manusia spt saya juga.

logitidunal

Cuba google 6 weeks longitudinal + Shimazu Baca Zapf & Dorman

mediation

http://ripl.faculty.asu.edu/mediation/ http://www.public.asu.edu/~davidpm/classes/psy536/Baron.pdf See page 1173, 1174 and 1178 the justification for a mediator is very very different compared to the justification of a moderator. Also in moderator also there are two types of issue we are looking at 1. Change Direction or 2. Change Strength of relationship. Allow the investigation of the plausibility of "third-variable explanations" for the results of past studies. When there is "inconsistency" you are looking for a possible "moderator" and when there is "consistency" you are looking for a "mediator" (mechanism).

to remove writer's block

http://www.nextscientist.com/writers-block-phd-students/

sample size for sem

there is no magic number for SEM analysis. It all depends on complexity of your model and data quality (ie; loadings). Hair et al. (2010) mentioned that with good loadings even with 75 you can get a good model fit but with low loadings you may need more than 500. You may wnt to read the article by Reinartz et al. (2009) "The well-known rule of thumb that ML-based CBSEM requires at least 200 observations to avoid problems of  non-convergence and improper solutions emerged from this prior work. On the basis of our findings, we confirm that this rule is true on average but that wide variations depend on indicator loadings. Based on our analysis, the minimum sample size ranges from as low as 100 (medium or high equal loadings) to a maximum of 500 (low equal loadings and two indicators per construct). See: http://www.insead.edu/facultyresearch/research/doc.cfm?did=42571

Thanks Prof Ramayah Thurasamy! I came across with that argument as well in article written by Lei and Wu (2007) in which it does mention that the sample size required is somewhat dependent on model complexity. Thanks Prof. Now, it is clearer.