Upcoming SlideShare
×

# 20100928150918 lecture 14 (analysis of data)

297

Published on

Published in: Education, Technology
0 Likes
Statistics
Notes
• Full Name
Comment goes here.

Are you sure you want to Yes No
• Be the first to comment

• Be the first to like this

Views
Total Views
297
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
6
0
Likes
0
Embeds 0
No embeds

No notes for slide

### 20100928150918 lecture 14 (analysis of data)

1. 1. Main Topics • Definition of Variable • Definition of population • What is sample? • Sample and population • What is sampling and sampling methods • Instrument and instrumentation
2. 2. Understanding of variables • A variable is a measurable characteristic that varies. • A variable is any characteristic or quality that varies among the members of a particular group.
3. 3. Understanding of variables (cont) A variable is a concept-a noun that stands for variation within a class of object, such as • Age • occupation • income, • marital status • Number of children • gender • race • achievement
4. 4. Type of Variable
5. 5. Dependent and Independent Variable • An independent variable is a variable presumed to affect or influence other variables. • A dependent variable (or outcome) is a variable presumed to be affected by one or more independent variables.
6. 6. Definition of Population A population is the group to which the results are intended to apply. The term “population” is as used in research, refers to all the members of a particular group. It is the group of interest to the researcher, the group to whom the researcher would like to generalize the results of a study.
7. 7. Examples of Population • All high 10th-grade students in the united sates • All elementary school gifted children in the state of California • All first-grade physically disabled students in Omaha who have participated in preschool training • First, population may be virtually any size and may cover almost any geographical area. • Second, the entire the researcher really would like to generalize is rarely available
8. 8. Sample and Population • A sample is a group in research study on which information is obtained. • The sample is smaller than the population. • The small group that is observed is called a sample, and the larger group about which the generalization is made is called a population • A population is defined as all members of any well- defined class of people, events or objects. A sample is a portion of a population.
9. 9. Steps in Sampling Target population The population that the researcher would like to generalize to is referred to as the target population Accessible population Since it is usually not possible to deal with the whole of the target population, one must identify the portion of the population to which one can have access-called the accessible population. Sample From the accessible population, one selects a sample in such a way that it is representative of the population.
10. 10. Examples Target population All fifth-year students enrolled in teaching training programs in the United States. Accessible population All fifth-year students enrolled in teaching-training programs in the state university of New York. Sample Two hundred fifth-year students selected from those enrolled in the teacher training programs in the State university of New York.
11. 11. Sampling Methods There are two methods are commonly known in social science research. These are: 1. Random Sampling 2. Non-random sampling
12. 12. Random Sampling Random sample is one in which each and every member of the population has an equal and independent change of being selected) Example: • The population is all 300 eight-grade students enrolled in general math at central Middle school.
13. 13. Type of Random Sampling The four types of random sampling most frequently used .These are: • Simple random sampling • Stratified sampling • Cluster sampling • Systematic sampling
14. 14. The major forms of non-random sampling are: • Purposive sampling • Convenience sampling Type of Non-random Sampling
15. 15. Purposive Sampling • Purposive sampling is referred to as judgment sampling. • Sample elements are judged typically or chosen from the population. Purposive sampling is a selective sampling because the individual or respondent has special qualification. • Much of the sampling in qualitative research is purposive. Purposive sampling is appropriate in three situations. • First, If a researcher wants to use content analysis to find cultural themes. In that case, the researcher needs to select a community. • Second, a researcher may use purposive sampling if he or she wants investigate for a special group. If the researcher wants to conduct research, he or she needs to be selective. It is impossible to list all prostitute and sample randomly from the list.. • Third, a researcher may use purposive sampling when he or she wants to identify particular types of cases for in-depth investigation. Non-random Sampling (cont’d)
16. 16. Instrument and Instrumentation • Any device/material that the researcher uses to collect data throughout the research is called instrument. • The device the researcher uses to collect data is called an instrument. • The device can be a pencil and paper test, interview, a questionnaire, or a rating scale. • The whole process of collecting data is called instrumentation.
17. 17. Data Analysis (Qualitative) Instruments for qualitative study are :  Interview Paper Pencil Tap recorder Observation
18. 18. Qualitative Data Analysis (Cont..)  The transcribed interviews with the field notes will be examined and classified into the themes.  The tape-recorded interviews were fully transcribed and great care was taken to protect the secrecy of respondents.  The researcher followed the same sequence for the observation. When staying in the field, the researcher quickly write down the notes. To gathering information depends on the researcher’s understanding of the research problem and the subject under the study.
19. 19. Quantitative Data Analysis Instrument for Quantitative data are : • interview, • a questionnaire • or a rating scale • Software (SPSS)
20. 20. Quantitative Data Analysis (Cont…) Quantitative data can be analyzed using the Statistical Package for the Social Science (SPSS) program.  The questions can be coded before being entered into the computer to be analyzed.  For the simple descriptive study frequencies, standard deviation, mean and percentages, minimum and maximum value can be largely used for research .
1. #### A particular slide catching your eye?

Clipping is a handy way to collect important slides you want to go back to later.