Spss statistics for windows version 17.0 chicago

Manufactured by IBM

SPSS Statistics for Windows, Version 17.0 is a software package developed by IBM for statistical analysis. It provides a comprehensive set of tools for data management, analysis, and reporting. The software is designed to handle a wide range of data types and can be used for a variety of statistical techniques, including regression analysis, hypothesis testing, and multivariate analysis.

Automatically generated - may contain errors

Lab products found in correlation

Spss ver 17, by IBM (1 mentions) Spss statistics 17, by IBM (1 mentions)

Close spelling variants of this product

SPSS statistics version 17.0 for Windows SPSS Statistics 17.0 for Windows SPSS version 17.0 for Windows Statistics 17.0 for Windows SPSS for Windows, version 17.0 SPSS 17.0 for Windows SPSS 17.0.0 for Windows SPSS 17.0 statistics SPSS for Windows 17.0 SPSS Windows version 17.0

6 protocols using spss statistics for windows version 17.0 chicago

Mosquito Control Effects on Larval Populations

Check if the same lab product or an alternative is used in the 5 most similar protocols

The general container index (GCI) and Ae. japonicus container index (JCI) were calculated at the eight Lelystad allotments for each of the six data collection time points as:
To test the mosquito control effects on the mosquito larval populations at the allotments, an analysis of the variance (ANOVA), was carried out on the GCI and JCI indices. Analysis was performed using software Genstat (version 17.1, 64 bit). To test for differences in mean number of larvae between Lelystad and the province of Flevoland, a Mann–Whitney U test was carried out with SPSS (SPSS Inc. Released 2008. SPSS Statistics for Windows, Version 17.0. Chicago: SPSS Inc).

Ibañez-Justicia A., Teekema S., den Hartog W., Jacobs F., Dik M, & Stroo A. (2018). The Effectiveness of Asian Bush Mosquito (Aedes japonicus japonicus) Control Actions in Colonised Peri-urban Areas in the Netherlands. Journal of Medical Entomology, 55(3), 673-680.

+ Open protocol

+ Expand

Comprehensive Statistical Analysis of Immune Responses

Check if the same lab product or an alternative is used in the 5 most similar protocols

Statistical analysis was performed with an SPSS ver. 17.0 software program (SPSS Inc. Released 2008. SPSS Statistics for Windows, Version 17.0. Chicago: SPSS Inc., Chicago, IL, USA) and the results were expressed as mean ± standard deviation (SD). Data from TPA and spleen index assays, were analyzed by using Analysis of variance (ANOVA) followed by the post hoc Bonferroni test (* p < 0.05), and Student t test was used to analyze the results of cytokines measure.

Salinas-Sánchez D.O., Jiménez-Ferrer E., Sánchez-Sánchez V., Zamilpa A., González-Cortazar M., Tortoriello J, & Herrera-Ruiz M. (2017). Anti-Inflammatory Activity of a Polymeric Proanthocyanidin from Serjania schiedeana. Molecules : A Journal of Synthetic Chemistry and Natural Product Chemistry, 22(6), 863.

+ Open protocol

+ Expand

Cardiometabolic Risk Factors Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols

MetS, global CVR (high/intermediate/low), gender and CRP (normal/elevated) as
dependent variables had their relationships with independent variables analyzed
by Chi-squared test. Comparisons of CRP levels (mg/dL), FRS and absolute 10-year
CVR (%) between genders and two PASI categories (≤10/ >10) were
assessed by nonparametric Mann-Whitney test, because these variables rejected
the normality hypothesis of Kolmogorov-Smirnov; CRP levels (mg/dL) in age
(≤ 40 years / >40 years), MetS (no/yes) and SAH (no/yes) categories by
t-test; global CVR (high/intermediate/low) and CRP levels (mg/dL) interactions
by ANOVA and Bonferroni post-hoc test; relationships between CRP levels (mg/dL)
and each numerical variable: age (years), PASI scores, FRS, absolute 10-year CVR
(%) by Pearson's R correlation test; and relationships between one categorical
or numerical dependent variable and independent variables were assessed by
multivariate logistic or linear regression analysis, respectively. The
significance level α ≤ 0.05 was considered, and odds ratio (OR)
was established with confidence interval (CI) of 95%. The data were analyzed
through SPSS Statistics for Windows, Version 17.0 Chicago: SPSS Inc.

Paschoal R.S., Silva D.A., Cardili R.N, & Souza C.D. (2018). Metabolic syndrome, C-reactive protein and cardiovascular risk in psoriasis patients: a cross-sectional study. Anais Brasileiros de Dermatologia, 93(2), 222-228.

+ Open protocol

+ Expand

Statistical Analysis of Experimental Data

Check if the same lab product or an alternative is used in the 5 most similar protocols

All data are expressed as mean ± standard deviation differences in group means between two variables were compared using t-tests. Differences in categorical variables were compared using Fisher's exact test. The difference was considered statistically significant if P < 0.05. Data were analyzed using SPSS Statistics for Windows Version 17.0 Chicago: SPSS Inc.

Chandramohan G., Dineshkumar T., Arul R., Seenivasan M., Dhanapriya J., Sakthirajan R., Balasubramaniyan T, & Gopalakrishnan1 N. (2018). Spectrum of Hypokalemic Paralysis from a Tertiary Care Center in India. Indian Journal of Nephrology, 28(5), 365-369.

+ Open protocol

+ Expand

Survival Prediction in Pacemaker Implantation

Check if the same lab product or an alternative is used in the 5 most similar protocols

For normally distributed continuous variables, we presented the data as mean ± standard deviation, as medians with first and third quartiles for variables with skewed distribution, and as numbers with percentages for categorical variables. Data were compared by independent sample t and Chi-square tests when appropriate. To assess the effects of different variables on survival, we performed Cox regressions with backward selection analysis. Variables with a p value of <0.05 in univariate analysis were included in the multivariable analysis. We also calculated hazard ratios (HRs) and 95% confidence intervals (CIs). The variables that remained statistically significant in the multivariable analysis were used as elements of the risk-scoring system. For purposes of clinical utility, the beta coefficients for these elements were converted to integer values in the risk-scoring system. Patients’ survival following PPM implantation was plotted as Kaplan–Meier curves, and we used the log-rank test to determine statistical significance. Receiver operating characteristic (ROC) curve analysis and Youden’s index were used to identify cutoff values. A p value of less than 0.05 was considered statistically significant. Statistical analyses were performed using SPSS Statistics 17.0 (SPSS Inc., Chicago, IL, USA, Released 2008. SPSS Statistics for Windows, Version 17.0. Chicago: SPSS Inc.).

Lin H.C., Hung M.J., Wang C.H., Chen T.H., Chen W.S, & Cheng C.W. (2023). Development and Validation of a Novel Risk Score for All-Cause Mortality Risk Stratification Prior to Permanent Pacemaker Implantation in Octogenarians or Older. Medicina, 59(8), 1499.

+ Open protocol

+ Expand

Fiber Quality Evaluation in Cotton

Check if the same lab product or an alternative is used in the 5 most similar protocols

Mature bolls of the two parents and recombinant inbred lines were harvested manually and fiber quality was measured with HVI900 instruments at the Supervision Inspection and Testing Cotton Quality Center, Anyang, China. The fiber quality traits measured in our study mainly included upper half mean length (FL, mm), fiber strength (FS, cN/tex), fiber elongation (FE), fiber micronaire (FM) and fiber uniformity (FU). These data were analyzed by SPSS 17.0 (SPSS Inc. Released 2008. SPSS Statistics for Windows, Version 17.0. Chicago: SPSS Inc.).

Ali I., Teng Z., Bai Y., Yang Q., Hao Y., Hou J., Jia Y., Tian L., Liu X., Tan Z., Wang W., Kenneth K., Sharkh A.Y., Liu D., Guo K., Zhang J., Liu D, & Zhang Z. (2018). A high density SLAF-SNP genetic map and QTL detection for fibre quality traits in Gossypium hirsutum. BMC Genomics, 19, 879.

+ Open protocol

+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Revolutionizing how scientists
search and build protocols!