Internal working models of attachment are claimed to be unconscious structures operating outside the conscious awareness. Existing measures of attachment are almost exclusively explicit, either self-reports or interviews and it is questionable whether these instruments are able to tap into unconscious attachment attitudes. The main purpose of the present study is to develop Implicit Association Test (IAT) tools for assessing adult attachment and to examine their construct validity. Two sets of implicit attachment measures, based on the two-dimensional attachment model (Bartholomew & Horowitz, 1991), were developed. Convergent validity was assessed by examining (1) the relationship between implicit model of self and implicit self-esteem and (2) the relationship between the implicit model of other and implicit sociability.

Title: Predictions and explanation models for bankruptcy in stock-companies ? A study of three failed Swedish companies Author: Tim Svanberg Supervisor: Emil Numminen Department: School of Management, Blekinge Institute of technology Course: Bachelor?s thesis in business administration, 10 credits Purpose: The purpose of the thesis is to find explanation for bankruptcy with the help of prediction models. The purpose is also to add explanation by using Behavioral analysis Method: Quantitative research of bankruptcies using financial prediction models and qualitative study of psychological pitfalls. The study is deductive. Results: I found that it is possible to explain the bankruptcies using the prediction models.

Title: Predictions and explanation models for bankruptcy in stock-companies ? A study of three failed Swedish companies Author: Tim Svanberg Supervisor: Emil Numminen Department: School of Management, Blekinge Institute of technology Course: Bachelor?s thesis in business administration, 10 credits Purpose: The purpose of the thesis is to find explanation for bankruptcy with the help of prediction models. The purpose is also to add explanation by using Behavioral analysis Method: Quantitative research of bankruptcies using financial prediction models and qualitative study of psychological pitfalls. The study is deductive. Results: I found that it is possible to explain the bankruptcies using the prediction models. The behavioural perspective adds further explanation.

The main purpose of this study was to translate Stuttering Severity Instrument 3 and to evaluate its reliability and validity. Five speech-language pathologists assessed 35 adults who stutter with this assessment tool. Overall the results showed a very high inter- and intrarater reliability. A highly significant correlation between Stuttering Severity Instrument 3 and ratings of severity, made by the speech-language pathologists, strengthen the validityof Stuttering Severity Instrument 3. No correlation was found between the total score of Stuttering Severity Instrument 3 and the self-report measure Overall Assessment of the Speaker's Experience of Stuttering, whichindicates a lack of social validity in Stuttering Severity Instrument 3.

A frequently asked question in real estate marketing is at what time of the year it is optimal to invest or sell. The aim of the project was to answer this question and to generate a prediction model over real estate located in the centre of Stockholm that takes seasons into account. With acquired sales statistics in Stockholm between 2010 and 2013 it was possible to perform a linear least square regression, also known as Ordinary Least Square (OLS), with describing qualities and season of sale as parameters. Statistical problems such as Multicollinearity and Heteroskedasticity have been taken into account when deriving the model. The result was a highly accurate prediction model indicating the profitability of investing in real estate during the summer and selling during the autumn..

The objective of this study was to assess validity and reliability for five different owner-completed instruments evaluated to assess chronic musculoskeletal pain in cats. All of the instruments were questionnaires, three asking about behavioral changes, one about the degree of pain and one about quality of life. One of the instruments was written originally in Swedish, the other four instruments were translated into Swedish before use. Data available were records from 57 cats with no signs of pain and 11 cats with different pain-related diagnoses. The diagnoses were ensured by clinical examination including palpation and manipulation of joints, gait testing on a force-plate and X-ray scans. Instrument 1 was completed by 57 pain-free and 11 pain-affected cats.

Undersökningen syftar till att jämföra två olika urvalssystem för officersprogrammet. För detta syfte ställs det gamla respektive det nya urvalssystemet mot kadetternas studieresultat. Urvalskriterierna till dessa urvalssystem korreleras mot studieresultatet i en korrelationsmatris. Därefter undersöks de uppmätta sambanden medelst semi-partiala korrelationsmått och konfidensintervall. Detta skapar belägg för att det föregående urvalssystemet var effektivare än den nya för att välja ut kadetter med förmåga att tillgodogöra sig utbildningen.

The aim of this study was to develop and psychometrically evaluate an instrument for measuring the impact from chronic pain on daily life. Traditionally psychometric evaluation is done with parametric methods even if the items are ordinal data. In this study the instrument to be developed is solely based on ordinal data, and the psychometrically evaluation is done with both traditional methods (i.e. parametric statistics) as well as with non-parametric methods. These two different ways of psychometrically evaluation are then compared with each other.

This study examines if the prediction of cardiovascular disease in hypertensive patients can be improved upon when renal function and microalbuminuria are added to the classical risk factors The predictive capability of a model is measured by discrimination, calibration, reclassification and Harrell's C.The results are ambigious. In most cases, microalbuminuria should be included in the model, but the results regarding the other measures of renal function are varied. Therefore, the selection of risk factors to include in the model depends on which measure of prediction one prioritizes..

The purpose of the thesis has been to explore the use of hedge fund styles when constructing portfolios of hedge funds (i.e. funds of hedge funds). The central question is if the use of hedge fund styles can significantly explain and improve risk adjusted returns (characterized by Sharpe ratios). The study has been done in collaboration with Optimized Portfolio Management AB who desire further knowledge and evaluation of hedge fund styles for their fund of hedge funds.To be able to create successful ex ante portfolios we have explored various prediction models for both risk and return. Our findings indicate that return prediction is problematic using simple models such as regression since the risk exposure of the indices appear to change significantly over time.

SWITCH- Swedish Intelligibility test for children, is a test thatmeasures intelligibility of children's speech through repetition of singlewords. The test is computer generated and consists of 1000 word listsrandomly selected for each assessment. The purpose of this study was toexamine the equivalence, reliability and validity in the word lists. Word listswere tested on ten children with typical language development (N group)and ten children with speech deviation (T group). The children were audiorecorded when they repeated two lists.

AbstractObjective: The aim of this study was to investigate the statistical properties of a self-assessment instrument for depression, Känsloläge, with regard to validity, reliability and factor structure. Method: The data collection method used for the study was mail questionnaires. The sample consisted of patients who had received treatment for heart failure, arrhythmic disorders or coronary heart disease at a hospital in Uppsala, Sweden. The study population consisted of 53 patients. The self assessment form?s validity was analyzed by measuring the criterion validity.

Sambandsanalys av surveydata kompliceras av förekomsten av slumpfel och metodeffekter i de avgivna svaren. Dessa felkällor kan leda till betydande över- eller underskattning av sambanden mellan undersökta variabler, och riskerar att leda till felaktiga slutsatser.En sedan länge känd metod för att estimera och kontrollera för slumpfel och metodeffekter i enkätdata är den så kallade Multitrait Multimethod-metoden (MTMM). Nackdelen med MTMM-metoden är att den kräver att varje fråga som ska analyseras ställs minst tre gånger i samma enkät, vilket gör att ansatsen i praktiken oftast inte är möjlig att tillämpa. Sedan 2012 finns dock ett verktyg, SQP 2.0, som gör det möjligt att skatta slumpfel och metodeffekter i enkätdata utan att genomföra MTMM-experiment. Den här uppsatsen utvärderar prediktionerna från SQP 2.0 på en enkät om arbetslivsrelaterade frågor besvarad av svenska och brittiska respondenter.

The purpose of this bachelor-thesis is to investigate the possible effects of lease accounting on the estimation of bankruptcy. This is done by estimating the risk via prediction models based on accounting ratios for a sample of 43 listed firms in Sweden. Estimation is conducted twice for each firm, once base on unadjusted data as it is presented in the annual report of 2012, and one with data adjusted for operational leases (that is data is treated as if all leases present were to have been reported as financial leases). In the next step it is tested weather the predictive ability of the models is affected by this adjustment or not. For this purpose translation of bankruptcy risk into synthetic credit ratings via interest coverage ratios is done.

Volvo Human Monitoring (VHM) is an ongoing project at Volvo Cars where they measure, amongst other parameters, inhalation and exhalation through a device called Respiratory Inductance Plethysmograph (RIP), on drivers. RIP measures changes in the cross-sectional area of the chest and abdomen. When the driver is in motion, such as when she is turning the vehicle, the cross-sectional area changes and noise in the RIP signal may arise.The noise results in a large number of manual adjustments in the analysis of the RIP signal, which is very time consuming and the validity of the device for measuring inhalation and exhalation is questioned.The purpose of this study was to improve the efficiency of the analysis of the RIP signal. The goal was to create a new data processing tool in Matlab that automatically detects inhalation and exhalation from a RIP signal with higher validity compared to the previous data processing tool.In this study, nine tests were performed on drivers while they were driving in different scenarios such as highway, country road and in city traffic. Inhalation and exhalation was measured using a RIP, a pneumotachograph with a tightly sealed facemask and a thermocouple placed between the nose and mouth, which was used as reference to the RIP.The result of this study was a data processing tool that automatically detects inhalation and exhalation with higher validity compared to the previous data processing tool.