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Reliability
Making sure that different items on a survey or questionnaire that were written to measure the same behavior all provoke similar responses from research participants, also means the ability to replicate the results under similar conditions. (Playing darts and having four darts land in the same area.
Vailidity
How well our study tests what we want to test, in other words, a study with high validity will provide accurate information about the behavior we’re interested in. (Playing darts and hitting the bullseye most of the time.)
Nominal
the simplest form (Gender, marital, status, college major.)
Interval
no true zero point, zero is not a true zero (Farenheit and Celsius)
Ratio
has a true zero point, there is no negative point (Kelvin, age measured by days since birth.)
Bivalent Independent Variable
variables test the effect of the presence versus absence of something, has two levels of the independent variable
Multivalent Independent Variable
manipulated amounts of a factor in different levels, has three or more levels of the independent variable
Independent Variable
is manipulated by researchers to test a hypothesis
Quasi Independent Variable
allows for comparison of groups of participants without manipulation (i. e., no random assignment; sometimes called a subject variable
Experimental Bias
occurs when researchers treat groups different based on hypothesis
Testing Effect
occurs when participants are treated in multiple times
Regression Toward the Mean
occurs when participants obtain an extreme score on a questionnaire than on the second test they score more around their average
Attrition/Mortality
participants decide not to complete a study
Hawthorne Effect
can occur due to participants changing their behavior because they are scared of being observed (Being good at work when the Boss is around)
Demand Characteristics
occurs when participants try to figure out the study and change their behavior based on what they think the study is about
Presence/Absence
variables manipulation with a level that involves the treatment and a level that does not involve the treatment
Type Variables
involves a manipulation of types of a treatment
Amount Variable
includes levels with a different amount of the treatment changing from level to level
Type of manipulations of independent variables.
Presence/Absence, Type Variables, Amount Variables.
What is the Hawthorne Effect
Landsberger’s study on workers in Western Electric Company. Observed workers being diligent when the boss is around.
Population
the group in a research study that the researchers want to know about
Sample
is the group of individuals participating in the study who are a part of the larger population
Sampling Error
the difference between the observations in a population and in the sample that represents the population in a study
Two different sampling techniques.
Probability Sampling and Convenience Sampling
Probability Sampling
sample chosen such that individuals are chosen with a specific probability
Convenience Sampling
also called a PURPOSIVE SAMPLE, sample chosen such that the probability of an individuals being chosen cannot be determined
Probability sampling techniques.
Simple Random Sampling, Cluster Samples, Stratified Random Samples
Simple Random Sampling
sample chosen randomly from the population such that each individual has an equal chance of being selected (give most representative sample of the overall population)
Cluster Samples
sample chose randomly from clusters identified in the population
Stratified Random Samples
sample chosen from the population such that the proportion of individuals with a particular characteristic is equivalent in the population and the sample
Convenience Sampling techniques.
Volunteer Samples, Quota Samples, Snowball Samples.
Volunteer Samples
also called a haphazard sample. Sample chosen from the population such that available individuals are chosen based on who volunteers to participate
Quota Samples
sample chosen from the population such that available individuals are chosen with equivalent proportions of individuals for a specific characteristic in the population and sample
Snowball Samples
sample where past participants recommend future participants from the same population
Response Rate
the percentage of people out of the total number available who respond to a survey
Descriptive Statistics
measure that helps us summarize data
Inferential Statistics
a set of statistical procedures used by researchers to test hypotheses about populations
Distribution
a set of scores, measures the spread of data
Central Tendency
representation of a typical score in a distribution
Mean
calculated average of scores in a distribution
Median
the middle score in a distribution, such that half of the scores are above and half are below that value
Mode
the most common score in a distribution
Three basic measures commonly used to describe the central tendency.
Mean, Median, Mode
Measures of variability.
Range, Standard Deviation, Variance
Range
the difference between the highest and lowest scores in a distribution
Standard Deviation
a measure representing the average difference between the scores and the mean of a distribution
Variance
the standard deviation of a distribution squared
Two-tailed Hypothesis
both direction of an effect or relationship is predicted in the alternative hypothesis of the test
One-tailed Hypothesis
only one direction of an effect or relationship is predicted in the alternative hypothesis of the test
Null Hypothesis
the hypothesis that an effect or relationship does not exist, or exists in the opposite direction of the alternative hypothesis, in the population
Alternative Hypothesis
it is predicting that there is an effect and their is a relationship
What are inferential statistics looking for?
They are looking for evidence against the null hypothesis in order to support our alternative hypothesis that something is connected and is happening.
Alpha Level
the probability level used by researchers to indicate the cut-off probability level (highest value) that allows them to reject the null hypothesis
p Value
the probability value associated with inferential tests that indicates the likelihood of obtaining the data in a study when the null hypothesis is true
What does it mean to have a certain p Value?
Values close to 0 indicate that the observed difference is unlikely to be due to chance, whereas a P value close to 1 suggests no difference between the groups other than due to chance.
Type I Error
error made in a significance test when the researcher rejects the null hypothesis when it is actually true
Type II Error
error made in a significance test when the researcher fails to reject the null hypothesis when it is actually false
When is it appropriate to reject the null hypothesis?
When the calculated statistic falls in the most extreme portion of this distribution, the critical region, and we can accept the scientific/alternative hypothesis.
What are the APA style sections and what is encompassed in each?
Abstract:
brief comprehensive study of the contents of the paper
public significance statement: summarizes the significance of the study for a general audience along with the abstract
Introduction:
introduce main topic
talk about how it is new to the field
go over any variables of the study and how they relate to the topic
state hypothesis
Methods:
participants, material, design, procedure
Results:
discuss results, how you quantify them or organize them
Discussion:
what the results mean for your topic/hypothesis and for the field itself
Reference List:
provides a reliable way for readers to reference the works authors cite to acknowledge previous scholarship
used to document and substantiate statements made about the literature (as data in the paper is used to support hypothesis and conclusions)
What goes on a title page?
Title of the paper, name of each author of the paper, affiliation for each author, author note, running head, and page number.
What verb tense is used in a research proposal?
Future tense.
How to do in-text citations and special formatting issues along with this.
A parenthetical citation includes the author’s last name and year of publication, separated by a comma, in parentheses at the end of the sentence. (if uses page numbers, add behind publication year)
A narrative citation includes the author’s name directly in the sentence, with the year of publication directly following the author’s name. (if uses page numbers, add behind publication year)
If citing multiple works in a sentence, cite them the same in order of reference list and put semi-colon between.
When citing group author put group abbreviation in brackets [FDA]
How to do references?
center the title (References)
Double space the reference entries, use hanging indent, organize them alphabetically by surname of first author on each work
invert author name, capitalize only first letter of article titles, first word after colon or dash in the title, and proper nouns
capitalize all major words in journal titles, italicize titles of longer works such as books and journals
do NOT italicize, underline, or put quotes around the titles of shorter works suc has journal articles or essays in edited collections