Spss version 21.0j for windows

Manufactured by IBM

Sourced in Japan

SPSS version 21.0J for Windows is a statistical software package that provides tools for data analysis, data management, and data visualization. It offers a wide range of statistical procedures and techniques for researchers, analysts, and organizations to explore, analyze, and interpret data. The software is designed to be user-friendly and offers a graphical user interface for easy navigation and operation.

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2 protocols using spss version 21.0j for windows

ApoE4 Influence on Alzheimer's Cognition

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As a main outcome, analysis of covariance (ANCOVA) was performed to investigate the ADAS scores including subscale scores and the value of SPECT cerebral blood flow in a separated region of interest at endpoint. For removing the confounding variable, sex and evaluation values of ADAS and SPECT at baseline were set as dependent variables. Next, we compared the rate of SPECT cerebral blood value and ADAS scores at baseline and endpoint using paired t tests in each two groups: one with the ApoE4 carriers and the other one with the noncarriers, respectively. χ² tests were used to examine differences between categorical measures.
SPSS version 21.0J for Windows was used for the statistical analyses. The 5% level of significance was used throughout all analyses.

Suwa A., Nishida K., Utsunomiya K., Nonen S., Yoshimura M., Takekita Y., Wakeno M., Tajika A., Yoshino M., Koshikawa Y., Kato M, & Kinoshita T. (2015). Neuropsychological Evaluation and Cerebral Blood Flow Effects of Apolipoprotein E4 in Alzheimer's Disease Patients after One Year of Treatment: An Exploratory Study. Dementia and Geriatric Cognitive Disorders EXTRA, 5(3), 414-423.

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Psychosocial Factors for Depression Screening

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To identify the significant psychosocial factors for interview sheets besides psychometric measurement of depression and anxiety, we performed a logistic regression analysis using the same variables besides the EPDS for independent variables and the classified two groups with the EPDS cut-off score as a dependent variable. All data analyses were performed with SPSS version 21.0 J for Windows (SPSS Inc., Tokyo, Japan).
Multicollinearities of the logistic regression models of Analyses 1 and 2 were estimated. They were performed in the coefficiency estimates of the linear regression in which the same dependent variable and independent variables of the logistic regression analysis were used. We judged the presence of multicollinearity if tolerance values were less than 0.4 and the variance inflation factor (VIF) was greater than 2.5 using Allison’s criteria [20 ].

Tachibana Y., Koizumi T., Takehara K., Kakee N., Tsujii H., Mori R., Inoue E., Ota E., Yoshida K., Kasai K., Okuyama M, & Kubo T. (2015). Antenatal Risk Factors of Postpartum Depression at 20 Weeks Gestation in a Japanese Sample: Psychosocial Perspectives from a Cohort Study in Tokyo. PLoS ONE, 10(12), e0142410.

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