NOUN CLAUSES

NOUN CLAUSES

              Noun clause ini sering disamakan dengan THAT, maka dari itu, suka disbut juga dengan THAT CLAUSES. Tapi, biarpun begitu, tidak semua NOUN CLAUSE adalah THAT CLAUSE.

              Menurut fungsinya, noun clauses atu that clause ini dibedakan menjadi beberapa macam:

1.      Noun clause/that clause sebagai subjek dari kalimat.

a.       Kalimat dengan subjek noun clause biasanya diawali dengan it.

Contoh: it is disappointing that jenny can’t come.

b.      Biasanya di bentuk dengan rumus; it + be/seem +adjective +noun clause.

Contoh: it is strange that there are no lights on.

c.       Alternative rumus lainya, bisa dengan bentuk: it +be/seem + a + noun +noun clause.

Noun disini bisa menggunakan kata-kata seperti: mercy, miracle, nuisance, pity, shame, relief, wonder, a good thing, etc.

Contoh: it is a good thing (that) you were insured.

It is a shame (that) I can’t to do it.

2.      That clause, yang setelahnya adjective/participle.

Rumus: subject + be +adjective/ past participle + noun clause.

Ø  Adjective expressing emotion, antaranya; glad,pleased, relieved, sorry.

Ø  Adjective participle expressing anxiety, antaranya; afraid, anxious, aware, certain, confident, conscious, conviced.

Contoh: I am glad that you wil have a dating with me.

              I am afraid that I will come late  to your party.

3.      That clause,  yang setelahnya nouns.

that clause di sini bisa di tempatkan stelah sebuah nomor besar dari noun yang abstrak, seperti; allegation, announcement, belief, discovery, fact, fear, guarantee, hope, knowledge, promise, proposal, report, romour, suggestion, suspicion.

Contoh: the announcement that we wil have holiday after this month.

              The report that our planning about the seminar have be ready.

4.      Noun clause sbagai objek kalimat.

a.       That clause yang ditempatkan setelah beberpa kata kerja tertentu. Antara lain:

Acknowledge

Admit

Advise

Agree

Allege

Announce

Appear

Arrange (wh)

Ask (wh)

Assume

Assure

Beg

Believe (wh)

Command

Confess

Consider(wh)

Declare

Decide (wh)

Demand

Demonstrate

Determine

Discover

Doubt

Estimate (wh)

Expect

Fear

Feel

Find (wh)

Forget (wh)

Guarantee

Happen

Hear (wh)

Hope

Imagine

Imply

Aindicate

Ainform

Insist

Know (wh)

Learn

Make out

Mean

Notice (wh)

Observe

Occur to + object

Order

Perceive

Presume

Pretend

Promise

Propose

Prove (wh)

Relize (wh)

Recognice

Recommend

Remark

Remember (wh)

Remind

Request

Resolve

Reveal (wh)

Say (wh)

See (wh)

Seem

Show (wh)

State (wh)

Stipulate

Suggest (wh)

Suppose

Teach

Tell (wh)

Think (wh)

Threaten

Turn out

Understand (wh)

Urge

Vow

Warn

Wish

Wonder (wh)

Contoh: He assumes that we agree with him.

              She wishes that she can go there.

b.      Verb yang bertanda wh,bisa di ikuti dengan noun clause yang diawali dengan kata wh; what where, when, who, why, and how.

Contoh: I forget who told me this.

              He asked where he was to go.

              They will believe whatever you tell him.

              Have you heard how he is getting on?

              I can’t think why he left his wife.

              I wonder when he will pay me back.

Reading

Measure of association for two variables

              Thus far we have considered an array of test of significance that assit us in making decisions about differences between groups. In previous chapters our attention was directed toward contrasting a single group of elements against an expected or “chance” distribution or toward observed differences between two or more groups on any number variables. This chapter departs from such tests of significance of difference. We focus an variety of procedures that are designed to measure the degree of association between variables.

              Numerical expressions of the degree to which two variables are “in step” or fluctuate predictably in relation to one another are referred to as coefficients of association. Procedures that yield coefficients are association are called measure of association. Tests of theory or theoretical schemes often involve measures of association. To what extent do two variables vary one from the other? To what extent does a relationship exist between one variable and another? For instance, it might be believed that an association exists between pay and motivation to work. It may appear that as employees are paid more money, their motivation to work harder increases accordingly. An association would be said to exist between pay and motivatin to work.

Reading

Measure of association for two variables

              Thus far we have considered an array of test of significance that assit us in making decisions about differences between groups. In previous chapters our attention was directed toward contrasting a single group of elements against an expected or “chance” distribution or toward observed differences between two or more groups on any number variables. This chapter departs from such tests of significance of difference. We focus an variety of procedures that are designed to measure the degree of association between variables.

              Numerical expressions of the degree to which two variables are “in step” or fluctuate predictably in relation to one another are referred to as coefficients of association. Procedures that yield coefficients are association are called measure of association. Tests of theory or theoretical schemes often involve measures of association. To what extent do two variables vary one from the other? To what extent does a relationship exist between one variable and another? For instance, it might be believed that an association exists between pay and motivation to work. It may appear that as employees are paid more money, their motivation to work harder increases accordingly. An association would be said to exist between pay and motivatin to work.

Oleh :

Siti Maftuhah, Izwaniera Khairunnisa, Solihin