rsch design

Health Education Hed507 with Duryea at University of New Mexico

About this deck

By: JM Middendorf
Textbook:

Educational Research: Competencies for Analysis and Applications (with MyEducationLab) (9th Edition)
Created: 2010-10-07
Size: 33 flashcards
Views: 34

About StudyBlue

STUDYBLUE makes things that make you better at school. Things like online flashcards with photos and audio. Things like personalized quizzes and friendly reminders about when (and what) to study next. Think of it as a digital backpack™: access to all of your study materials online and on your phone. STUDYBLUE exists to make studying efficient and effective for every student, for free. Join us.

“Simply amazing. The flash cards are smooth, there are many different types of studying tools, and there is a great search engine. I praise you on the awesomeness.”
Dennis

Sign up (free) to study this.

correlation coefficient

A decimal number between .00 and +1.00 and –1.00 that indicates the degree to which two quantitative variables are related.

coefficient of mult. correlation

An index of the strength of the relationship among a combination of predictor variables and the criterion variable. Like the usual correlation coefficient, a coefficient of zero would indicate that the variables are not related. On the other extreme, a coefficient of one would indicate that scores on the criterion variable can be perfectly predicted from the set of predictor variables.

Action research

A type of research focused on a specific local problem and resulting in an action plan to address the problem.

Alpha coefficient ; Cronback alpha

An internal consistency or reliability coefficient for an instrument requiring only one test administration. Continuous scoring - not scored yes/no

researcher bias

A situation in which the researcher's hopes or expectations concerning the outcomes of the study actually contribute to producing various outcomes, thereby creating a threat to internal validity

Accessible population

The population from which the researcher can realistically select subjects for a sample, and to which the researcher is entitled to generalize findings. Test those you can reach

Analysis of covariance (ANCOVA)

A statistical technique for equating groups on one or more variables when testing for statistical significance; it adjust scores on a dependent variable for initial differences on other variables, such as pretest performance or IQ.

Analysis of variance (ANOVA)

A statistical technique for determining the statistical significance of differences among means; it can be used with two or more groups.

Aptitude test

An instrument used to predict performance in a future situation

Associational research

A general type of research in which a researcher looks for relationships having predictive and/or explanatory power. Both correctional and causal-comparative studies are examples.

Assumption

Any important assertion presumed to be true but not actually verified; major assumptions should be described in one of the first sections of a research proposal or report.

Attitude scale

A set of statements to which the participant responds.

Average ; Measures of central tendency

A number representing the typical score attained by a group of subjects.

Measures of central tendency: Indices representing the average or typical score attained by a group of subjects; the most commonly used in educational research are the mean and the median.

Causal-comparative research

Research to determine the cause for, or consequences of, existing differences in groups of individuals; also referred to as ex post facto research - after the fact: research on action that has already taken place - try to determine cause for the particular outcome.

Census Survey

An attempt to acquire data from each and every member of a population.

Chi-square test

A non parametric test of statistical significance appropriate when the data are in the form of frequency counts; it compares frequencies actually observed in a study with expected frequencies to see if they are significantly different.

Cluster sampling/cluster random sampling

The selection of groups of individuals, called clusters, rather than single individuals. All individuals in a cluster are included in the sample; the clusters are preferably selected randomly from the larger population of clusters. "Gangs in L.A." "YAFL football teams"

Coefficient of determination (r2) "COD"

The square of the correlation coefficient. It indicates the degree of relationship between two variables cc=.7, cod= .49 or 49% related; cc= .5, cod= .25 (%) related(not so much)

Cohort study

A design (in survey research) in which a particular population is studied over time by taking different random samples at various points in time. The population remains conceptually the same, but individuals change (for example, graduates of San Francisco State University surveyed 10, 20 and 30 years after graduation).

Collective case study

One that studies multiple cases at the same time

Comparison group

The group in a research study that receives a different treatment from that of the experimental group.

Concurrent validity (evidence of)

The degree to which the scores on an instrument are related to the scores on another instrument administered at the same time, or to some other criterion available at the same time.

Confidence interval

An interval used to estimate a parameter that is constructed in such a way that the interval has a predetermined probability of including the parameter. WHAT!?

Confirming sample

In qualitative research; a sample selected to validate or extend previous findings

Constant

null

Bias

Researcher bias - halo (all will be good) or pitchfork - all will be bad

Observation bias -

Sampling

goal is to slect participants who are REPRESENTATIVE of the entire population

Simple Random Sampling

all indiv have = chance of being chosen into sample group. random order of population, random numbers

stratified sampling

strategically selecting sample to "guarantee" desired rep. of subgroups within the sample. determine # or % of subgroup pop. and select how many SS acording to the # or %. Nurses in NM=1000, but AfAm=10%, cau=50% and Hisp=40%. For SS to be rep, randomly choose from ea group those same %s to test.

Cluster Sampling

groups are identified, not indiv.: 5th grader classes in APS, then randomly selct a certain # from each class (cluster)

See above

Systematic sampling

ideally, make a randomized list of a pop. (N) , determine the sample size(n), then N/n=k, choose every kth indiv on the list: 1000/100=10=k so from list of 1000, choose every 10th member until have 100 SS

Area sampling

if don't know how many in a community (county?/city limits?/state?), overlay grid on the area and randomly sample from each square on the grid (demographers/epidemiologists)

Sampling Error

(normal, expected) the diff btwn results obtained from sample study and result if studied entire population. =Standard Error (SE) gives us some idea of the precision of our statistical estimate. related to sample size:> sample size (N), < the standard error(SE)

About this deck

By: JM Middendorf
Textbook:

Educational Research: Competencies for Analysis and Applications (with MyEducationLab) (9th Edition)
Created: 2010-10-07
Size: 33 flashcards
Views: 34

About StudyBlue

“Simply amazing. The flash cards are smooth, there are many different types of studying tools, and there is a great search engine. I praise you on the awesomeness.”
Dennis