ANOVA BDIDIF Sum of Squares Mean Square df Between Groups Sig. .010 529.437 2331.135 2860.572 5.110 Within Groups Total 2 45 47 264.719 51.803
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A psychologist was looking at the effects of an intervention on depression levels. Three groups were used: waiting list control, treatment and post treatment (a group who had had the treatment 6 months before). The change in depression levels over the time of the treatment were recorded (although bear in mind only the treatment group actually got any treatment during this time). The SPSS output is below; based on this output what should the researcher conclude?
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- Recent research indicates that the effectiveness of antidepressant medication is directly related to the severity of the depression (Khan, Brodhead, Kolts & Brown, 2005). Based on pretreatment depression scores, patients were divided into four groups based on their level of depression. After receiving the antidepressant medication, depression scores were measured again and the amount of improvement was recorded for each patient. The following data are similar to the results of the study.Run the single-factor ANOVA for this data: LowModerate HighModerate ModeratelySevere Severe 3 2.7 3.4 4.6 2.1 1.6 3.6 3.5 2.4 2.4 2.8 3.1 1.8 2 3.1 2.5 2.2 2.2 3.4 3.4 0 2.3 4.7 3.1 Fill in the summary table for the ANOVA test: S.S. d.f. M.S. Between Within TOTAL From this table, obtain the necessary statistics for the ANOVA:F-ratio: p-value: η2= What is your final conclusion? Use a significance level of α=0.01. There is a significant…r. Lyte wishes to study speed of Reaction Time to press a button in response to the onset of a lamp. The independent variable (IV) is the color of the light produced by the lamp (red, orange, yellow, green, or blue). Since only 10 participants are available, she elects to administer the IV within-subjects with all 10 participants being exposed to all five levels of the color variable. The order of the color of the light presentation is to be counterbalanced. Using concepts from the textbook, why would Dr. Lyte need to use counterbalancing in this scenario?People tend to evaluate the quality of their lives to others around them. In a demonstration of this phenomenon, Frieswijk, Buunk, Steverink, and Slaets (2004) conducted interviews with frail elderly people. In the interview, each person was compared with fictitious others who were worse off. After the interviews, the elderly people reported more satisfaction with their own lives. Following are hypothetical data similar to those obtained in the research study. The scores are measures of a life-satisfaction scale for a sample of n=9 elderly people who completed the interview. Assume that the average score on this scale is u=20. What is your computed t? Use a one-tailed test with a=0.05. The life satisfaction scores are 18, 23, 24, 22, 19, 27, 23, 26, 25. Note: S2-sS (sum of squares)÷df (degrees of freedom) Answer:
- Thompson Photo Works purchased several new, highly sophisticated processing machines. The production department needed some guidance with respect to qualifications needed by an operator. Is age a factor? Is the length of service as an operator (in years) important? In order to explore further the factors needed to estimate performance on the new processing machines, four variables were listed: X1 = Length of time an employee was in the industry X2 = Mechanical aptitude test score X3 = Prior on-the-job rating X4 = Age Performance on the new machine is designated y. Thirty employees were selected at random. Data were collected for each, and their performances on the new machines were recorded. A few results are: Length of Time in Industry, Performance on New Mechanical Aptitude Prior On-the-Job Machine, Score, Performance, Age, Name X1 X2 X3 X4 y 112 Mike Miraglia Sue Trythall 12 312 121 52 113 2 380 123 27 The equation is: ý = 11.6 + 0.4x1 + 0.286x2 + 0.112x3 + 0.002x4 a. What is this…Read the scenario below to determine which one of the time threats to internal validity (test reactivity, instrumentation, history, and maturation) is of most concern, and provide one way to control for the threat. A researcher examines students' perception of their body image by conducting a 2-year longitudinal study of middle-school students (grades 6 - 8). Body image is measured using a scale and the same scale is measured under the same conditions at the beginning and end of the study.Read the following text that describes an analytical study and complete the table below it: This research investigated the association or the relationship between some factors, namely (1) type of cars, (2) age and (3) gender of the car drivers and car accidents. More specifically, the researcher wanted to find out if these three independent factors had an impact on car accidents. He hypothesized that "car accidents do not increase or decrease as a result of the age of the drivers, gender of the driver and type of car". The sample of this research consisted of 2000 car drivers of different gender, ages and types of cars. The researcher designed a questionnaire to collect the primary data required. The questionnaire was very short. It elicited some demographic data from the respondents such as their gender, their age, and the type of car they used. The questionnaire also elicited from the participants if they had had accidents, the number of accidents they had and at what age they had…
- . Do patients with gastrointestinal issues experience more psychological distress than the general population? The DASS-21 questionnaire is a validated measure of depression, anxiety, and stress. For the general population, the mean for anxiety is µ = 4.2. Anxiety levels are calculated based on self-reported answers to questions on a scale from 0 through 42, with lower scores indicating lower anxiety. Participants with gastrointestinal issues (specifically inflammatory bowel disease, IBD) completed the DASS-21. Use the data presented below to determine whether having gastrointestinal issues like IBD significantly increases risk for anxiety. Test whether or not the performance of this sample is significantly higher than the normal population using the proper t-test. Here are the data: Anxiety scores: 12, 15, 10, 8, 10, 5, 10, 13, 4, 6 ANALYSES AND UNGRADED OPTIONAL GUIDING QUESTIONS: 1a. Identify the Indep.Variable:__ Dep.Variable:__ Is it the Hypothesis…Most supermarkets use scanners at the checkout counters. The data collected this way can be used to evaluate the effect of price and store's promotional activities on the sales of any product. The promotions at a store change weekly, and are mainly of two types: flyers distributed outside the store and through newspapers (which may or may not include that particular product), and in-store displays at the end of an aisle that call the customers' attention to the product. Weekly data was collected on a particular beverage brand, including sales (in number of units), price (in dollars), flyer (1 if product appeared that week, 0 if it didn't) and display (1 if a special display of the product was used that week, 0 if it wasn't).As a preliminary analysis, a simple linear regression model was done. The fitted regression equation was: sales = 2259 - 1418 price. The ANOVA F test p-value was .000, and r squared = 59.7%.According to this model, how many units will be sold, on average, when the…Suppose that, as part of a research methods class, Bailey was asked to write a summary of a research paper on the topic of the effects of visitor traffic on the relative humidity in bat caves. Identify the explanatory and the response variables. The number of visitors and the relative humidity are the response variables. The number of visitors is the response variable, and the relative humidity is the explanatory variable. The number of visitors and the relative humidity are the explanatory variables. The number of visitors is the explanatory variable, and the relative humidity is the response variable.
- You may need to use the appropriate technology to answer this question. An automobile dealer conducted a test to determine if the time in minutes needed to complete a minor engine tune-up depends on whether a computerized engine analyzer or an electronic analyzer is used. Because tune-up time varies among compact, intermediate, and full-sized cars, the three types of cars were used as blocks in the experiment. The data obtained follow. Analyzer computerized electronic Car compact 50 41 Intermediate 56 45 Full Sized 62 46 Use ? = 0.05 to test for any significant differences. State the null and alternative hypotheses. H0: ?Computerized = ?ElectronicHa: ?Computerized ≠ ?ElectronicH0: ?Computerized ≠ ?ElectronicHa: ?Computerized = ?Electronic H0: ?Computerized = ?Electronic = ?Compact = ?Intermediate = ?Full-sizedHa: Not all the population means are equal.H0: ?Compact = ?Intermediate = ?Full-sizedHa: ?Compact ≠ ?Intermediate ≠ ?Full-sizedH0:…Question 4 Forys and Dahlquist (2007) investigated the effects of coping style and cognitive strategy on dealing with pain. Participants were first classified as having a monitoring or avoiding coping style. Participants were then randomly assigned to one of two cognitive strategy conditions, distraction or sensation monitoring. Participants were next instructed to use the cognitive strategy while submerging their hand in ice water. The researchers measured pain tolerance as the number of seconds participants were able to keep their hand in the ice water. How would you label the ANOVA used to analyze this data? 4 x 2 within-groups ANOVA O 2x 2 between-groups ANOVA 2 x 2 within-groups ANOVA 4 x 2 between-groups ANOVABeachcomber Ltd in a local car dealership that sells used and new vehicles. The manager of the company wants to know how different variables affect the sales of his vehicles. A random sample of yearly data was taken with the view to testing the model: SALES=?+?AGE+?MIL+?ENG Where SALES= amount that a vehicle is sold for($000’s), AGE = age of the vehicle, MIL= the total mileage of the vehicle at the point of sale and ENG = the size of the engine. The sample of data was processed using MINITAB and the following is an extract of the output obtained: a) What is dependent and independent variables? b) Fully write out the regression equation c) Fill in the missing values ‘*’, ‘**’, and ‘***’.
