Educational Research:Educational Research:Post-analysis Considerations, Post-analysis Considerations, Preparing and Evaluating a Research Preparing and Evaluating a Research ReportReport

EDU 8603

Educational Research

Richard M. Jacobs, OSA, Ph.D.

Completing a research study is not the terminus of the research process……data must be verified and stored…results must be interpreted…the research report must be written

In particular, computer analyses must be checked very carefully…

…inputting mistakes lead to erroneous results

Verifying the data...Verifying the data...

The data must be double-checked, coding procedures verified, accuracy of computations examined, and the reasonableness of the findings evaluated

…the research needs to find errors before reviewers, editors, and readers of scholarly journals do

Storing the data...Storing the data...

After verifying the accuracy of the data, the researcher must label, organize and file the data in a safe place…the original data may be subsequently needed by

the researcher or other researchers who may wish to examine the data utilizing different statistical techniques

Interpreting research results...Interpreting research results...

The results of statistical analyses need to be interpreted in terms of…

…the purpose of the study…the original research hypothesis…and with respect to other studies

that have been conducted in the same area of research

hypothesized resultshypothesized results......…the researcher must describe

adequately what statistics indicate about null hypothesis

…the issue concerns statistical statistical significancesignificance and why the researcher accepts/rejects the null hypothesis

unhypothesized resultsunhypothesized results......…during the research process an

apparent relationship may emerge that was not previously hypothesized

…collect and analyze data on these unforeseen relationships; present the results, but do not change or add to the original hypothesis

…instead, use the unhypothesized results as the basis for a later study designed specifically to test the new hypothesis

statistical issuesstatistical issues......…valid inferences require that the

sample be representative of the population

…valid inferences also require that the conditions (or assumptions) underlying the statistical procedure are met

…otherwise, bias enters into the statistics used and the research findings and, hence, the generalizations from them are weakened if not rendered meaningless

methodological issuesmethodological issues......…ignoring measurement error…ignoring low statistical power…performing multiple comparisons

measurement errormeasurement error......…measurements are seldom error-free…large amounts of measurement error

hamper the ability to find statistically significant research results

statistical powerstatistical power......…the probability that a Type II error is

avoided

…however, lowering statistical power increases the likelihood that the researcher will overlook or miss the outcome desired

statistical power depends upon four interrelated factors…

…the significance level selected

…the direction of the significance test

…the sample size

…the effect size (i.e., the degree of the departure from the null hypothesis)

strategies for estimating the effect size….

…select a cut-off score below which an effect size is judge unimportant

…choose conventional, generally agreed upon definitions of small, medium, and large effect sizes

…use the effect sizes of studies of the same phenomenon

to increase power….

…(a priori) increase the significance level

…(a priori) increase the sample size

the strongest support for a research hypothesis comes from replication…

…as the study is repeated with different participants in the same or different settings

…which increases the generalizability of the findings

The matter of “significance”...The matter of “significance”...

The fact of statistical significancestatistical significance does not automatically mean that a study’s results have any practical practical significancesignificance

statistical significancestatistical significance......…the results of the study are likely to

occur by chance a certain percentage of the time

…the observed statistical relationship or differences is probably a real difference, but not necessarily an important one

practical significancepractical significance......…the results of the study are able to

applied or used by practitioners or clinicians in their particular setting

Preparing a research report...Preparing a research report...

After verifying, storing, and interpreting the data, the researcher begins the process of writing the final report……which requires outlining and

providing details for the general sections

Elements of a research report…Elements of a research report…

1. preliminary pages2. main body

3. appendices

1) preliminary pages…

…table of contents…list of tables and figures…abstract

…title page…acknowledgements page

title pagetitle page......…indicates the title of the report, the

author’s name, the requirement being fulfilled, the name and location of the institution, the date of submission of the report

…states the purpose of the study as succinctly as possible

acknowledgements pageacknowledgements page......…expresses an author’s appreciation

to persons who have contributed significantly to the completion of the report

table of contentstable of contents......…provides an outline indicating on

which page each major section (or chapter) and subsection begins

list of tables and figureslist of tables and figures......…gives the number and title of each

table and figure and the page on which it can be found

abstractabstract......…a statement summarizing the basic purposes

of the study, including: the problem investigated, types of participants and instruments, the design, the procedures, the major results, as well as the major conclusions

2) main body…

…results…discussion…references

…introduction…method

introductionintroduction......…a well-written description of the

problem, a review of related literature, and a definition of terms

…should lead logically to the statement of the hypothesis

methodmethod......…a description of the participants,

instruments, design, procedures, assumptions, and limitations

resultsresults......…describes the statistical techniques

or qualitative interpretations that were applied to the data and the results of the analysis

…information about the process applied during data analysis should be provided

discussiondiscussion......…identifies the agreement or disagreement

of the findings with previous results obtained by other researchers in other studies or the hypotheses stated at the start of the study

…identifies the theoretical and practical implications of the findings and makes recommendations for future research or future action

referencesreferences......…a listing of all sources, alphabetically

by authors’ last names, directly used in writing the report

3) appendices……information and data that are

pertinent to the study that either are not important enough to be included in the main body of the report or are too lengthy

Some general rules for writing…...format according to APA Publication Manual (5th edition)

…use clear, simple, straight-forward style, including correct spelling, grammar, and punctuation

…learn from the corrections provided on your 8603 exercises

Evaluating research reports…Evaluating research reports…

requires the development of a set of skills that enable an individual to differentiate the quality and value of research reports……by accurately identifying their

strengths and weaknesses

General evaluative criteria…General evaluative criteria…

1. introduction2. method

3. results

4. discussion

5. abstract or summary

1) introduction…

…hypotheses

…problem…review of literature

2) method…

…design and procedure

…participants…instruments

3) results…4) discussion (including conclusions

and recommendations)…

5) abstract or summary…

Type-specific evaluative criteria…Type-specific evaluative criteria…

1. qualitative research2. descriptive research (including questionnaire, interview, and observation studies)

3. correlational research (including relationship and prediction studies)

4. causal-comparative research

5. experimental research

Mini-Quiz…Mini-Quiz…

True and false…

…the larger the denominator in a parametric test of significance, the larger the numerator must be to attain significance

True

True and false…

…computer analyses of data always provide accurate results of the data input into the program

True

True and false…

…the product of a test of significance is a number

True

True and false…

…what the test of significant means requires interpretation

True

True and false…

…virtually any difference can be made significant if the sample is large enough

True

True and false…

…the higher the level of significance at which the null hypothesis will be rejected, the more powerful the test

True

True and false…

…the failure to reject the null hypothesis renders a study insignificant

False

True and false…

…a true test of a hypothesis comes from its ability to explain and predict what is happening

False

True and false…

…the lack of randomized samples can introduce bias into a study and limit its usefulness

True

True and false…

…although the researcher is likely to know the significance level of the study and its sample size, the researcher is not likely to know the effect size

True

True and false…

…smaller sample sizes mean less power

True

True and false…

…statistical and practical significance are synonymous

False

True and false…

…a greater mean difference is probably required to reject a null hypothesis

True

True and false…

…repeating a study with different participants in the same or different settings increases the generalizability of the findings

True

True and false…

…the most common flaw in a research study is the lack of information provided about validity and reliability

True

True and false…

…whether the most appropriate design was used in a study, given the problem, involves a degree of subjective judgment

True

Fill in the blank…

…the process of double-checking, cleaning, and organization of the data as well as evaluating the research conclusion

verification

Fill in the blank…

…the probability of avoiding a Type II error

power

Fill in the blank…

…the results of a study are likely to occur by chance a certain percentage of the time

statistical significance

Fill in the blank…

…the strongest research evidence supporting a research hypothesis

replication

This module has focused on...This module has focused on...

post-analysis considerations, preparingand evaluating research reports

...the procedures for checking and storing all data in an organized manner and the general guidelines for reporting a study’s findings