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Grade 9 Quarter 1 - Research
English major, philippine normal university, recommended for you.
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Research design.
success or failure of an investigation usually depends on the design of the experiment.
a master plan specifying the methods and procedures for collecting and analyzing the needed information in a research study
four kinds:
historical design (focused in the past - what was)
descriptive design (focused in the present condition – what is)
experimental design (future – what will be)
case study design (past, present and future).
FOUR STEPS OF EXPERIMENTAL PROCEDURE:
Selection of the appropriate materials for the tests;
Specification of the variable to be measured;
Selection of the procedure to be used in the measurement of the variable; and
Specification of the procedure to be used to determine whether the measurements support the hypothesis.
PRINCIPLES OF RESEARCH DESIGN:
Replication
Randomization
Local control
Control of extraneous variables
Replication
essential element in the design of any research. Doing just the basic experiment is not enough. The experiment should be repeated several times to find an estimate of variations among observations on the group of subjects treated alike.
Replication allows the researcher to assess the significance of the observed differences. Only through several repetitions of the experiment will make statistical test of significance possible.
Randomization
Refers to the assignment of the experimental subjects to the treatments by chance.
It is done to create equivalent groups prior to the experiment. It tends to average out differences among groups.
It reduces possible bias in comparative experiments.
It also assures a valid or unbiased estimate of population parameters and the validity of the statistical test of significance.
Local Control
Done when balancing, grouping and blocking of experimental units are employed in the adopted design.
Experimental units are allocated to block in such a manner that the units within the block are relatively homogeneous.
Experimental units may be blocked according to certain characteristics such as height, age, weight, gender, grade level, pH level, and so on.
Control of Extraneous Variables
Make sure that no outside or extraneous variables may affect the experimental subjects.
Identical conditions must be provided for the control and experimental groups. These two groups should differ only in terms of the absence (control) or presence of the treatment (experimental)
The principles of experimental design can be applied to SINGLE-FACTOR, TWO-FACTOR and THREE-or more-FACTOR experiments.
EXPERIMENTAL DESIGN
EXPERIMENTAL DESIGNS: The Basic Building Blocks
The general plan for selecting participants, assigning participants to experimental conditions,controlling extraneous variables, and gathering data.
a description of what a researcher would like to find out and how to find it out.
EXPERIMENTAL RESEARCH DESIGN
a problem-solving approach that the study is described in the future on what will be when certain variables are carefully controlled or manipulated.
most useful in the natural sciences such as
Phycology
Ichthyology
Chemistry
Biochemistry
Molecular Biology
Microbiology
Biotechnology and many others.
the researcher selects participants and divides them into two or more groups having similar characteristics and, then, applies the treatment(s) to the groups and measures the effects upon the groups.
TYPES OF EXPERIMENTAL DESIGNS:
Single group design.
which a group of subjects are administered a treatment and then measured (or observed).
a design in which a group of subjects are administered a treatment and then measured (or observed).
Usually, with this design, an intact group of subjects is given the treatment and then measured or observed.
No attempt is made to randomly assign subjects to the groups, nor does the design provide for any additional groups as comparisons.
Single Group design does NOT have experimental group and control group
If the F test or analysis of variance is significant, then this means the achievements of this students using three methods of teaching English really differ with each other.
If F test or analysis of variance says otherwise, then this means the achievements of this students are almost the same.
TWO GROUP DESIGN
Two comparable groups are employed as experimental and control group
Two-group design. Two comparable groups are employed as experimental and control groups
Experimental group
In a two-group design, the group of participants that receives the Independent Variable.
Control group
In a two-group design, the group of participants that does not receive the Independent Variable.
blocks while leaving the subjects within a block more homogeneous.
Except for different treatments, the assigned experimental units within each block should be managed as uniformly as possible.
The experimental area is divided into as many blocks as the number of replicates. Each block is then divided further into groups as many as the number of treatments. Randomization is then done separately for each block. It is specified that all treatments must appear once in each replication. Randomization may be done with the use of a table of random numbers.
COUNTER-BALANCED or LATIN SQUARE DESIGN
“rotation design”
involves an exchange of two or more treatments taken by the subjects during the experiment
arrangement employed in the design is Latin square in which each variable is a form of square occurring once in each row or column
Called quasi-experimental design
COMPLETE RANDOMIZED DESIGN
which a group of test plants or animals is studied only once but subsequent (kasunod) or successive (sunod-sunod) treatment is applied to determine the cause of change. There is no control in this design but the subjects will undergo randomization process.
Treatments are assigned randomly to the experimental subjects without restriction.
The experimental subjects in this case should be homogeneous with respect to all other factors which could affect the treatments being compared if they were not controlled.
It is flexible and is limited only by the number of experimental subjects. It is therefore possible that the number of replicates per treatment is not the same for the different groups.
Statistical analysis remains simple and easy even if some experimental subjects or an entire treatment group is missing.
The loss of information due to missing observations is small compared to those with other design.
DISADVANTAGES
x Not easy to obtain experimental subjects with homogeneous characteristics.
x The accuracy of the design is reduced when the subjects differ significantly.
x Any variations between the experimental subjects enter into the experimental error.
x The statistical test used may indicate significant differences among the treatments when actually there is none.
x It is appropriate to use CRD if the experimental subjects have the same characteristics and if several drop-outs are expected.
USING THE CRD
In single-factor experiments, only a single factor varies while all others are kept constant. The CRD can be used specially for experiments with homogeneous. Experimental units or in experiments where environmental effects are easily controlled like in laboratory experiments. This is rarely used in field experiments. Randomization can be accomplished by assigning treatments to experimental units entirely at random. This can be done by using a table of random numbers or by drawing lots.
PARALLEL- GROUP DESIGN
consists of three or more groups wherein one group is control group with two or more experimental groups.
The control group or parallel group serves as control or basis for comparison of the experimental groups which is manipulated or changed, but the experimental groups vary.
THREE- GROUP DESIGN
there are three groups of independent variables.
WHEN WE WILL USE THE ANOVA?
used when your research calls for comparison of the means of two or more groups. The F test is a global test and as such one test in an analysis is done.
CONTROL GROUP - manipulated for change.
EXPERIMENTAL GROUP - this is the group that varies.
PARALLEL GROUP - Serves as control for comparative purposes.
CORRELATIONAL DESIGN
used to determine the relationship of two dependent variables (X and Y) on how they are manipulated by the independent variable.
VALIDITY AND RELIABILITY
Validation of the instrument.
In this section, the suggestions, corrections, and refinement of the draft may be explained fully thoroughly. The different persons involved in the correction and refinement of the research instrument may be mentioned. After the refinement of the instrument, testing the validity and reliability of the instrument
- FOR VALIDITY
experts in line with the field of the study may be requested to go over the research instrument. Criteria for validation may be recommended and given to experts as their bases. It is the extent to which the scores from a measure represent the variable they are intended to
INTERNAL VALIDITY
refers to how well an experiment is done, especially whether it avoids confounding (more than one possible independent variable [cause] acting at the same time). The less chance for confounding in a study, the higher its internal validity is.
Therefore, internal validity refers to how well a piece of research allows you to choose among alternate explanations of something. A research study with high internal validity lets you choose one explanation over another with a lot of confidence, because it avoids (many possible) confounds.
EXTERNAL VALIDITY
refers to how well data and theories from one setting apply to another. This question is usually asked about laboratory research: Does it apply in the everyday "real" world outside the lab?
- FOR RELIABILITY
he researcher may use any of the four methods. These are (1) test-retest, (2) split-half, (3) parallel-form, and (4) internal consistency
If test-retest is used, the questionnaire is administered twice to the pilot sample with the same field of specialization in other institutions but not included as subjects of the study. Spearman rank difference correlation coefficient is used to determine the reliability of the responses. If the reliability value is high, it means that the research instrument is reliable, it is now ready to be administered to the subjects
TEST-RETEST RELIABILITY
is the extent to which this is actually the case. For example, intelligence is generally thought to be consistent across time. A person who is highly intelligent today will be highly intelligent next week. This means that any good measure of intelligence should produce roughly the same scores for this individual next week as it does today. Clearly, a measure that produces highly
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Course : English Major
University : philippine normal university.
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