RES 203 Flashcards
graphic/visual presentations in APA 7 table
non prose materials
condense and clasify information using rows and columns
tables
parts of tables: title
boxheads
parts of tables: far left column
stubs
focus on representing how a change in one variable to another
graphs
type of graph: show trend/history
line graph
type of graph: show comparison
bar graph
type of graph: know chunk/portion
circle graph/pie
it is a parametric statistical tool to assess the linear relationship of two variables. it involves inferential questions/higher order questions
Pearson’s R
Involves the use of statistical tests to address your research questions, involves the measured variables called bivariate data.
Data analysis
independent and dependent variables
bivariate data
rests on a number of assumptions about the distribution of data. use when you have a sample size or population more than 30, use likert scale, and has inferential questions
parametric
rests on a few or no assumptions regarding the distribution of data. used when you measure ordinal or nominal data, sample size less than 30
non-parametric
parametric tool used for determinig whether there is a linear relationship between variables
pearson’s r
pearson’s r equation: number of pairs of scores
N
pearson’s r equation: sum of the products of paired scores
(summation)xy
pearson’s r equation: sum of x scores
(summation)x
pearson’s r equation: sum of y scores
(summation)y
pearson’s r equation: sum of squared x scores
(summation)x^2
pearson’s r equation: sum of squared y scores
(summation)y^2
possible outcomes of pearson’s r: when the numerical value of one variable increases or decreases, the other variable also increases or decreases
positive correlation
possible outcomes of pearson’s r: the numerical value of one variable increases, the other variable decreases and vice-versa
Negative Correlation
it means that the two variables have no relationship with each other
No correlation / neutral
pearson’s r interpretation: .00-.19
very week
pearson’s r interpretation: .20 - .39
weak
pearson’s r interpretation: .40 - .59
moderate
pearson’s r interpretation: .80 - 1
very strong
pearson’s r interpretation: .60 - .79
strong
what does anova stand for
analysis of variance
is a statistical test used in analyze the difference between the means of more than two groups
anova
tests differences among groups concerning one variable.
One-way anova
the value for the one-way anova is obtained using this formula
TSS = SSB + SSW
TSS = total sum of squares
SSB = sum of squares between groups
SSW = sum of squares within groups
used for determining the relationships between two independent nominal variables (factors), and one dependent interval or continuous variable
two-way anova
formula of two-way anova
SSy + SSx + SSxy = TSS
SS = sum of squares for the first factors
SSy = sum of squares for the second factor
SSx = sum of squares for both factors
TSS = total sum of squares
statistical tool used for testing the relationship between one dependent variable and at least two independent variables. this relationship is then used to explain the behavior of the dependent variable.
The main value computed in a multiple regression test is the multiple correlation coefficient or R. the value R is obtained through the following formula.
multiple regression
format of pearson’s r interpretation
Since ___ </> 0.05, we fail to reject the null hypothesis or we reject the null hypothesis. This means that there is / there is no statistically significant difference between the group means.
is the process of determining whether there is sufficient evident to support your hypothesis
hypothesis testing
what tool is used for this research question: how are the participants characterized according to age and sex?
frequency
what tool is used for this research question: what is the level of perception of students towards the quality of the product
mean with interpretation, SD, variance
what tool is used for this research question: is there a significant difference in the perception towards the quality when grouped according to age and sex
age: two-way anova (more than 3 groups)
sex: t-test (2 groups)
