Psych 625 Week 6 Team Introduction And Summary
/in Uncategorized /by SKTeam B-Statistics Project
Amal Andersen
Jessica Bogunovich
Jocelyn Cuff
Zachary Ramoz
PSYCH 625
Mary Sue Farmer
April 13, 2015
1
Introduction
Key Terms
Degrees of Freedom
Descriptive Statistics
Interval ratio variables
Pearson Product-Movement Correlation
Positive correlation
Significance Level
1. Degrees of Freedom is a value, which is different for different statistical tests, that approximates the sample size of number of individual cells in an experimental design.
Descriptive statistics are values that organize and describe the characteristics of a collection of data, sometimes called a data set.
Interval variables are those that measure a variable by giving a numerical value in steps
Pearson Product-Movement correlations show the strength of a relationship using summations of values from each axis, the summation of the squares of the data points for each axis, and takes the sample number all into a neat equation.
Positive correlations show a relationship between variables and a trend moving in the same direction be it small to great or great to small.
Significance level is the risk set by the researcher for rejecting a null hypothesis when it is true.
3
Independent T-Test
Another analysis we decided to run on the data set was an independent t-test comparing the means of reading, math, and total test scores between males and females. The independent t-test was used because this analysis deals with two groups and the participants were not being tested more than once (per topic over time).
4
Independent T-Test Results
Degrees of freedom = 48 for all three tests (math, reading and total score)
Math
t value = -.487
Significance = .628
Reading
t value = -1.250
Significance = .217
Total
t value = -.956
Significance = .344
The SPSS output for the independent t-test on the previous slide demonstrates the t value of reading scores, math scores and total test scores, as well as the degrees of freedom (48 for all three computations). If one were to analyze the math scores only, they would find the t value to be -.487 and the significance to be .628. Analyzing the reading scores only we find the t value to be 1.250 and the significance to be .217. Analyzing the total score only one would find the obtained value, or t value, to be -.956 and find the significance to be .344 (p=.344).
5
Pearson Product-Movement Correlation
Correlations
TESTPREP MATHSCORE
TESTPREP Pearson Correlation 1 .653**
Sig. (1-tailed) .000
N 50 50
MATHSCORE Pearson Correlation .653** 1
Sig. (1-tailed) .000
N 50 50
**. Correlation is significant at the 0.01 level (1-tailed).
The Pearson Product-Movement was run through SPSS to show a bivariate correlation between test preparation and how well the participants scored on the math portion of the test. The chart displays the numbers in a more readable, decipherable fashion with test prep as the x-axis and math score as the y-axis. The two varaibles, test prep and math score, are interval/ratio varaibles, thus the easy conversion to a correlation.
6
Pearson Product-Movement Correlation Results
Positive
Correlation = .653
As test prep number increases, so does the math score
An up slope
The visual representation shows the relationship
Significance
Shoes a relationship
Not very strong
Meaningful?
The results of the correlation show a positive relationship. As the number of hours of test prep, the x-axis, increases so do does the score on the math test, y-axis. The direction of this positive relationship goes up. The scatterplot helps to being a visual representation to the chart for more discernable visuals. Although there is a decent correlation number, at .653, it seems the relationship is not very strong. This is due to the median time of 2 having many points. Also, the outliers also bring down the significance level as well. These results do show there is a relationship between the two varibles and one could argue that more test prep may yield a higher test score; However, it should be noted the realtionship is not high on significance thus making meaningfulness come to question.
7
Descriptive Statistics
Descriptive statistics are used to describe the common data from a study (Salkind, 2014). These deliver summaries about the sample used in the study, as well as the types of measures that were used. The descriptive statistics combined with analytical visuals provide a quantitative analysis of the data. Descriptive statistics describe what the data is and illustrates. These are useful when trying to present and describe quantitative data descriptions in manageable pieces (Salkind, 2014). Researchers are able to simplify huge amounts of data in a meaningful way, as each descriptive statistics reduces the large amounts of data into a smaller summary.
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Descriptive Statistics Summary
50 total participants
26 males
24 females
Ages ranged from 25-40
Average age=32
Reading Test Scores ranged from 45-9
Average reading score=75.58
Math Test Scores ranged from 45 to 92
Average math score=75
Total Test Scores ranged from 95 to 186
Average total test score=150.78
Analytical data from a test group of 50 people was collected and studied. There were 26 males and 24 females in the test group. The participants were surveyed on age, sex, years of college experience, caffeine consumption, test prep, as well as math, reading and comprehensive test scores. This analysis focuses on descriptive statistics and uses the age, math score, reading score and total test score variables. The descriptive statistics demonstrate that the age of the participants ranges from 25 to 40 and the participants have an average age of 32. Math scores range from 45 to 92, and the average math score was 75. Reading scores range from 45 to 96 and the average reading score was 75.78. Total scores ranged from 95 to 186 and the average total score was 150.78.
9
Conclusion
References
Salkind, N. (2014). Statistics for people who think they hate statistics (5th ed.). Thousand Oaks, CA: Sage Publishing.
Psychology Paper
/in Uncategorized /by SKOverview
In this course, you will write a paper that makes use of thefive general perspectives on human behavior – biological, learning, social and cultural, cognitive, and psychodynamic influences – to explain how a relationship begins, develops, and is maintained. Compare and contrast the impact of those perspectives on behavior in a love relationship – any relationship you choose – but one that shows a loving interaction between two people, such as spouses.
NOTE: Work completed for other courses is not acceptable for use in this class.
Format
You need at least 3 pages, double-spaced, for this. Spelling and grammar count! Take time to organize your thoughts and develop a clear and coherent essay.
Comparative Analysis of Individual, Couple, and Family Crises
/in Uncategorized /by SKComparative Analysis of Individual, Couple, and Family Crises
As you have learned in previous weeks, the scope of crisis is broad, encompassing everything from natural disasters affecting millions of people to a personal loss affecting a single family, couple, or individual. As a result of this extreme variability, it is helpful to organize different types of crisis situations into categories based on fundamental similarities. For example, some crises can be classified as “individual, couple, and family,” such as the following: PTSD, lethality, sexual assault, partner violence, addiction, and bereavement. Although these crises share a classification, they are far from identical. In fact, there is as much variability within the category of “individual, couple, and family crises” as there is within the general designation of “crisis.” One of the major areas of potential contrast is breadth of impact. A situation involving partner violence, for example, may be limited in impact to the two parties involved, particularly if the parties conceal it from others. An individual’s suicide, however, may have the most intense impact on the individual’s direct family members, but is likely to affect others outside of this realm as well, such as friends, neighbors, classmates, and/or coworkers.
In some cases, human services professionals may use similar strategies for different types of crises. A counseling session with a sufferer of PTSD, for example, may in some ways mirror a session with a sexual assault victim. Crisis intervention strategies vary in their effectiveness and in their potential to bring about positive outcomes, depending on both the nature of the crisis itself and the psychological resilience of those experiencing it.
To prepare for this assignment:
· Review Chapters 8, 9, and 10 in your course text, Crisis Intervention Strategies. As you read, focus on the similarities and differences between the three types of individual, couple, and family crisis situations: crisis of lethality, sexual assault, and/or partner violence.
· Review the articles, “Optimistic Explanatory Style as a Moderator of the Association Between Negative Life Events and Suicide Ideation” and “Best Practices for Working With Rape Crisis Centers to Address Elder Sexual Abuse.” Focus on how the issues examined in these articles are either unique to the particular crisis discussed or are shared with the other crises you have examined this week.
· View the video programs, “Adult Survivor of Sexual Abuse,” “Rape,” and “A Minimizing Batterer” paying particular attention to the characteristics and features that the various scenarios have in common as well as those that are different.
· Select two of the three types of crisis situations you have studied this week. (Be sure that one of your selections is different from the two you chose to analyze in this week’s Discussion.) Reflect on how the two types of crisis situations you have selected are similar as well as how they are different, particularly in terms of their breadth of impact, the intervention strategies most often used in response to these situations, their intended outcomes, and the effectiveness of these intervention strategies in achieving these outcomes.
The assignment (2–3 pages):
· Identify and briefly describe the two specific types of individual, couple, and/or family crisis situations you have selected.
· Explain how the two types of crises are similar and how they are different, including, but not limited to the following:
·
· Their breadth of impact
· Crisis intervention strategies that might be used for each
· The intended outcomes of intervention strategies used for each
· The effectiveness of the outcomes of intervention strategies used for each
· Explain what insights you have or conclusions you can draw based on this comparison.
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