SAP METODE

Posted on October 5, 2012 by admin

FORMULIR

PEDOMAN PENGAJARAN

 No.Dok FRM/KUL/01/02
No.Revisi 03
Tgl.Berlaku 1 0KT0BER 2008

ISO  9001 :2000

 Klausa ISO 7.5.1. dan 7

 

Made By

Checked By

Approved By

Valid
 

 

 

  

Wiwin Agustian,SE.M.Si

Wiwin Agustian, SE.M.Si

DR.H.Lin Yan Syah,M.Si

 

1             Faculty                       : Economics

2             Study Program         : Management

3             Strata                          : Strata 1 (one)

4             Subject                      : Research Methods

5             Course Code                       :

6             Pre requisites           :  –

7             Subject status           : Compulsory

8.         Description                : Research Method is a study of how to do some research. Research is systematic process includes data

collection and analysis of information in improving our understanding of the phenomena want or a concern we

Research  related question or human curiosity and attempt to find answers to these questions. Various

research purpose is exploration, description, prediction, explanation, action. In general, based on the

concepts of wrong about  the research, it should be highlighted four as follows : (1).the research not only

collect information (2). Research not only move the facts from one place to another (3). Research is not just

shuffle through ti find  information (4). Research is not a great word to attract attention.

 

9..        Competent                : Student are expected  be able to about  research method, terminology, sample, population,  systematic

(nonsampling), error from sample, statistic analysis, probability and nonprobability sampling, the normal

distribution, primary research, testing the null hypothesis.

 

10.    Class schedule            :

No

Topic

Sub Topic

Reference

Notes
1  

 

Research Method

 
  • Research defined
  • Research type
  • Sampling & Statistical Testing
  • Terminology
  • Sampling Terminology
  • Representative

 

 

 Mary Ellen Guffey,

Kathleen Rhodes,

Patricia Rogin.
2  

 

 

Population

 

 

 
  • Population defined
  • Tehnical the population is the complete set of elements of interest
  • We think of univariate, bevariate or multivariate population
  • What makes good sample
  • precision

 

  

 

Mary Ellen Guffey,

Kathleen Rhodes,

Patricia Rogin.
 

 

 

 

3

  

 

 

Errors from investigating a sample
  • Nonsampling (systematic) error
  • Sampling frame error
  • Non-response error
  • Response or recording error
  • Sampling (rendom) error
  • Two determinants of sampling error
  • Sampling unit (multi-stage sampling : primary, secondary, tertiary sampling units)

 

 Mary Ellen Guffey,Kathleen Rhodes,

Patricia Rogin.
4  

 

 

 

Two major categories of sampling

 Nonprobability sampling

  • Convenience
  • Judgment
  • Quota
  • Snowball

Probality sampling

  • Simple ramdom sample
  • Systematic sample
  • Stratified sample
  • Cluster sample
  • Multistage cluster sample

 
5  

 

Statistical analisys of sample

 Descriptive statistic

  • Measure of central tendecy
  • Measure of dispersion
  • Measure of frquency
  • Often presented in a table

Ususaly some brief discussion of the descriptive statistics

  • Give the reader some idea
  • Give the reader a feel for the scale of the data
  • Give information about the amount of variation
6  

 

 

Measure Of Dispersion Or spread

 

 

 

 

 
  • Range
  • Mean absolute deviation
  • Variance
  • Standard deviation
  • Low dispersion Vs High Dispersion
  • Deviation scores
  • Average deviaton
  • Mean squared deviation
  • Sample variance
  • Variance
  

  • Mary Ellen Guffey,
  • Kathleen Rhodes,
  • Patricia Rogin.
7  

 

 

 

 

 

Inferenstial statistics

 

 

 

 Inferential statistic definedDistribution

  • Population distribution-frequency distrbution of element in population
  • Sample distrbution-frequency distrbution of elelemt in sample
  • Sampling distribution – theoretical distribution of a sample statistic in repeated sampling
  • Population distribution curve
  • Sample distribution curve
  • Sampling distribution curve

 

 

  

 

Mary Ellen Guffey,

Kathleen Rhodes,

Patricia Rogin.
8  Mid Examination
9  

 

 

The Normal Dsitribution

 
  • Normal distribution
  • Normal curve
  • Standardized normal distribution
  • Standar curve
  • The standardized normal is distribution of z
  • Population standar scores
  • Standaridized value

 

  

 

 

 

Mary Ellen Guffey,

Kathleen Rhodes,

Patricia Rogin.
10  

 

 

 

Centrla limit theorem

 

 

 

 The CLT  says that sample size -n-is large

  • An average across repeated sample
  • The variance of the sample mean across different
  • The distribution of sample is normal
  • Population parameters and sample statistic (population,sample,sampling)
  

 

 

Mary Ellen Guffey,

Kathleen Rhodes,

Patricia Rogin.
 

 

 

11

  

 

 

Simple statistical test

 
  • SST :many research question can be addressed with very simple statistical
  • Often a good research design leads to a simple test,while a bad design requires complex statistical procedur for analysis of the data
  • Sine many classic research question imply a comparison between group, the two sample
  • (or multiple-sample) test are especially useful.
  • Overview

 

  

 

 

 

Mary Ellen Guffey,

Kathleen Rhodes,

Patricia Rogin.
12  

 

 

 

Overview

 

 Test cicering population means

  • One sample test
  • Two independent samples test
  • K > 2 independent samples.
  • Matched sample

Test concerning population proportion

  • One sample
  • More general test
  • Example of different between mean test
  • Category questions
  • Ranking questions
  • Rating questions
  • Designing the survey form
  

 

Mary Ellen Guffey,

Kathleen Rhodes,

Patricia Rogin.
 

 

 

 

 

 

 

 

13

  

 

 

 

 

 

 

 

Primary Research

Information Interviews

 

 
  • Types of interview
  • Structured Interviews
  • Semi-structured Interviews
  • Unstructured Interviews
  • Nature of Interaction
  • Finding an Interviewee
  • Preparation for Interview
  • Structuring the Interview Phrasing questions
  • Types of Questions
  • Moderately open ended questions
  • Secondary (probing) questions
  • Specific and close ended questions
  • Conducting the Interview
  • Internet-mediated Interviews
  

 

Mary Ellen Guffey,

Kathleen Rhodes,

Patricia Rogin.
14  

 

 

Interviewing Skills (data)

 
  • Interviewing is Important
  • Prepare for the
    Employment Interview
  • Interview Questions
  • Behavior-based questions
  • PAR stories
  • Illegal questions
  • Participate in Your Interview
  • Follow-up After Your Interview
  • Phone Interviews
  

 

Mary Ellen Guffey,

Kathleen Rhodes,

Patricia Rogin.
15  

 

Testing The Null Hypothesis
  • The test can be conducted by computing the t-statistic (note one sample size is less than 30) manually
  •  Can be conducted automatically using statistic software, or excel
  • Excel :tools, (t-test,two sample test assuming equal variance)
16 Final examination

 

10. Grading Policy

  • Attendance                           (10%)
  • Assingment & Case Study (20%)
  • E-Learning Assingment     (10%)
  • Mid examination                  (30%)
  • Final examination               (40%)

 

2.         Reference : 

    • Ernest G.Bormann, Researc Method, (An interprenitive approach), Beverly Hill, Calif, 2005.
    • Mary Ellen Guffey, Kathleen Rhodes, Patricia Rogin, research method, a division of Thomson, Canada, 2005

 

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