Chapter 5: Descriptive Research
... • This is the variability that is not due to the independent variance (error variance) • To get the average SSwg you must divide SSwg by the degrees of freedom (dfwg). • df is represented by n - k, n = sample size and k = number of groups or conditions. ...
... • This is the variability that is not due to the independent variance (error variance) • To get the average SSwg you must divide SSwg by the degrees of freedom (dfwg). • df is represented by n - k, n = sample size and k = number of groups or conditions. ...
chapter 2
... Two variables measured on the same individuals are associated if some values of one variable tend to occur more often with some values of the second variable than with other values of that variable. Eg. height and weight: it seems that the overall trend of height increasing shows that weight also in ...
... Two variables measured on the same individuals are associated if some values of one variable tend to occur more often with some values of the second variable than with other values of that variable. Eg. height and weight: it seems that the overall trend of height increasing shows that weight also in ...
Notes_1_bcsd Intro to Psych research design
... Ex: home run totals go down as weight increases -Pearson’s (R) -descriptive statistic that describes the linear relationship between two attributes -measures the strength of correlations -ranges from -1.0 (perfect negative) to +1.0 (perfect positive) -ex: -.90 shows a stronger correlation than +.75 ...
... Ex: home run totals go down as weight increases -Pearson’s (R) -descriptive statistic that describes the linear relationship between two attributes -measures the strength of correlations -ranges from -1.0 (perfect negative) to +1.0 (perfect positive) -ex: -.90 shows a stronger correlation than +.75 ...
Ψ320 Ainsworth Final Exam – Practice problems 1. True or False
... Ψ320 Ainsworth Final Exam – Practice problems 1. True or False: ANOVA is a statistical measure adopted to analyze differences in group variances. 2. True or False: If you do not have a significant interaction, you would still want to conduct post-hoc tests such as the Tukey and Bonferroni to assess ...
... Ψ320 Ainsworth Final Exam – Practice problems 1. True or False: ANOVA is a statistical measure adopted to analyze differences in group variances. 2. True or False: If you do not have a significant interaction, you would still want to conduct post-hoc tests such as the Tukey and Bonferroni to assess ...
Term - Manhasset Schools
... Ex: home run totals go down as weight increases -Pearson’s (R) -descriptive statistic that describes the linear relationship between two attributes -measures the strength of correlations -ranges from -1.0 (perfect negative) to +1.0 (perfect positive) -ex: -.90 shows a stronger correlation than +.75 ...
... Ex: home run totals go down as weight increases -Pearson’s (R) -descriptive statistic that describes the linear relationship between two attributes -measures the strength of correlations -ranges from -1.0 (perfect negative) to +1.0 (perfect positive) -ex: -.90 shows a stronger correlation than +.75 ...
Quantitative Measures
... a) Is this a statistic or a parameter? If we are interested in describing this particular read test, then it’s a parameter. If we use this text to draw inferences about pause duration in any text then it’s a statistic. b) What proportion of the data is above 70ms? ...
... a) Is this a statistic or a parameter? If we are interested in describing this particular read test, then it’s a parameter. If we use this text to draw inferences about pause duration in any text then it’s a statistic. b) What proportion of the data is above 70ms? ...
RM_Continuous_var
... C. You will analyze the results. Are they consistent with the hypothesis? You will be given the same data as above, broken down by a control variable. It will also be categorical, with two levels. A. You will build first order partial tables, one with frequencies (number of cases), the other with pe ...
... C. You will analyze the results. Are they consistent with the hypothesis? You will be given the same data as above, broken down by a control variable. It will also be categorical, with two levels. A. You will build first order partial tables, one with frequencies (number of cases), the other with pe ...
PSY2005 Week 8 - Complex Experimental Designs
... Conclusion: These results show a significant interaction between time and intervention. Whilst the participants reported lower depression following Treatment this effect was stronger in the CBT Treatment ...
... Conclusion: These results show a significant interaction between time and intervention. Whilst the participants reported lower depression following Treatment this effect was stronger in the CBT Treatment ...
Week 3 - Wei
... • DV (outcome variable):The presumed effect in an experimental study. The values of the dependent variable depend upon another variable, the independent variable. • IV(explanatory variable): The presumed cause in an experimental study. All other variables that may impact the dependent variable are ...
... • DV (outcome variable):The presumed effect in an experimental study. The values of the dependent variable depend upon another variable, the independent variable. • IV(explanatory variable): The presumed cause in an experimental study. All other variables that may impact the dependent variable are ...
Correlation v
... Correlation v. Causal relationships: What are scientists looking for? Psychology is the study of human behavior, but studying human behavior can be tricky. Ideally, scientists discover a causal relationship between variables, but often times, they can only identify a correlation. First, the terms: C ...
... Correlation v. Causal relationships: What are scientists looking for? Psychology is the study of human behavior, but studying human behavior can be tricky. Ideally, scientists discover a causal relationship between variables, but often times, they can only identify a correlation. First, the terms: C ...
Research Methods
... • The purpose is to discover whether the finding can be applied to the larger population from which the sample ...
... • The purpose is to discover whether the finding can be applied to the larger population from which the sample ...
Homework1
... PSYC 3020.3 (.2 on portal) 2. Open the breakfast.sav dataset that we used for the class presentation (it can be found on the class portal under course materials). Create a histogram of the frequency distribution for the poptart variable (analyze/descriptive statistics/frequencies). Move poptart to ...
... PSYC 3020.3 (.2 on portal) 2. Open the breakfast.sav dataset that we used for the class presentation (it can be found on the class portal under course materials). Create a histogram of the frequency distribution for the poptart variable (analyze/descriptive statistics/frequencies). Move poptart to ...
ED 793 LAB #1
... homoscedasticity to be true and we will pick up assessing and troubleshooting these assumptions in more detail next term. Things to know/keep in mind about multiple regression: 1. Regression analysis explores how independent variables explain the variation of a dependent variable 2. There are severa ...
... homoscedasticity to be true and we will pick up assessing and troubleshooting these assumptions in more detail next term. Things to know/keep in mind about multiple regression: 1. Regression analysis explores how independent variables explain the variation of a dependent variable 2. There are severa ...
Research Methods PowerPoint
... • The purpose is to discover whether the finding can be applied to the larger population from which the sample ...
... • The purpose is to discover whether the finding can be applied to the larger population from which the sample ...
variables
... independent of research participants' actions - participants have no control over what condition or group they are assigned to. It is the experimenter who manipulates the independent variable, whereas participants have nothing to do with it (they are simply exposed to one version of the independent ...
... independent of research participants' actions - participants have no control over what condition or group they are assigned to. It is the experimenter who manipulates the independent variable, whereas participants have nothing to do with it (they are simply exposed to one version of the independent ...
Feb. 27-- Experimental design
... that academic self-efficacy increases. Identify the mediator or moderator. ...
... that academic self-efficacy increases. Identify the mediator or moderator. ...
Chapter 1: Why is my evil professor forcing me to learn statistics?
... • In experimental research we manipulate one variable to see its effects on another. – Ex: What is the effect of caffeine on reaction time? ...
... • In experimental research we manipulate one variable to see its effects on another. – Ex: What is the effect of caffeine on reaction time? ...
one-way anova
... different. This test enables us to identify which of the group (groups) are significantly different. This is indicated with placement of star (*) in front of the categories. ...
... different. This test enables us to identify which of the group (groups) are significantly different. This is indicated with placement of star (*) in front of the categories. ...
Slides. - Rasmusen, Eric
... 2. Do not write 1.23423 when rounding to 1.23 will do just as well. Fewer digits yield greater clarity. 3. Use correlation matrices to show the simple correlations between important variables. 4. Give summary statistics. Think about which are most useful. Think about presenting the mean, median, mod ...
... 2. Do not write 1.23423 when rounding to 1.23 will do just as well. Fewer digits yield greater clarity. 3. Use correlation matrices to show the simple correlations between important variables. 4. Give summary statistics. Think about which are most useful. Think about presenting the mean, median, mod ...
Experimental Psychology PSY 433
... The behavior occurs after the IV is varied, and DV measures the change in behavior. "Depends" on manipulation of the IV. The DV does not have levels. ...
... The behavior occurs after the IV is varied, and DV measures the change in behavior. "Depends" on manipulation of the IV. The DV does not have levels. ...
Chap 2 Biv
... variable and categorical variable with more than two categories. – Same process as constructing a single boxplot, except that they share a common scale. – Comparing distributions of a number of boxplots. ...
... variable and categorical variable with more than two categories. – Same process as constructing a single boxplot, except that they share a common scale. – Comparing distributions of a number of boxplots. ...
Education 793 Class Notes
... proportion that is unpredictable by the X’s. • It is an omnibus test, it does not test the predictors individually. ...
... proportion that is unpredictable by the X’s. • It is an omnibus test, it does not test the predictors individually. ...
Thinking Critically with Psychological Science notes 1-4
... 2.) A Dependent Variable is a factor that may change in response to an independent variable. In psychology, it is usually a behavior or a mental process. For example, in our study on the effect of breast feeding upon intelligence, intelligence is the dependent variable. ...
... 2.) A Dependent Variable is a factor that may change in response to an independent variable. In psychology, it is usually a behavior or a mental process. For example, in our study on the effect of breast feeding upon intelligence, intelligence is the dependent variable. ...
Mediation (statistics)
In statistics, a mediation model is one that seeks to identify and explicate the mechanism or process that underlies an observed relationship between an independent variable and a dependent variable via the inclusion of a third explanatory variable, known as a mediator variable. Rather than hypothesizing a direct causal relationship between the independent variable and the dependent variable, a mediational model hypothesizes that the independent variable influences the mediator variable, which in turn influences the dependent variable. Thus, the mediator variable serves to clarify the nature of the relationship between the independent and dependent variables. In other words, mediating relationships occur when a third variable plays an important role in governing the relationship between the other two variables.Researchers are now focusing their studies on better understanding known findings. Mediation analyses are employed to understand a known relationship by exploring the underlying mechanism or process by which one variable (X) influences another variable (Y) through a mediator (M). In other words, X leads to M leads to Y. For example, if gender is thought to be the cause of some characteristic, one assumes that other social or biological mechanisms associated with gender can explain how gender-associated differences arise. Such an intervening variable is called a mediator.